MTech: Electrical Engineering (Smart Grid) (Coursework ...

MTech: Electrical Engineering (Smart Grid) (Coursework)

(To be replaced by Master of Engineering in Smart Grid (MEng)) at CPUT Module

Overview

Credit System Different credit systems are in use at the partner institutions. Hence, to describe the credits of each

module, a Unified Handbook Credit System (UHCS) based on the European Credit Transfer System

(ECTS) will be used in this handbook. Table 1 shows the UHCS used in the handbook in comparison to

the credit systems at the different institutions.

Table 1 Unified Handbook Credit System

Unified Handbook Credit System (UHCS) CPUT NM-AIST SU UDSM UP ECTS

1 UHCS 2.5 2.5 2.5 2 2.5

25h 10h 10h 10h 12h 10h 25-30h

Distributed Energy Resources

Smart Grid and Distributed Energy Resources Module Number Module Name

SGD690S Smart Grid and Distributed Energy Resources

Module classification Planning and Implementation; Technology and Innovation; Technical Management

Credits 6 UHCS

Language English

Available for Electrical Engineers, Electrical Technicians, Smart Grid technical personnel, Grid planners/developers/operators

Level of progression Basic to Intermediate

Teaching material Resources to be made available on the e-learning platform, in addition to prescribed reading material

Time composition Total time: 80h

Lectures: 45h

Tutorials: 15h

Practicals: 10h

Assignments: 8h

Consultations: 2h

Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology

Aim of the module The module introduces the student to the concept of the Smart grid, outlining the main elements and characteristics of the Smart grid, and contextualizing the smart grid in terms of its relation to electric power generation, transmission, distribution and consumption. It also covers the theory on various aspects of Distributed Energy Resource (DER) technologies, before acquainting the student with state-of-the-art architectures and control paradigms for the effective grid integration of DERs, so as to enhance their ability to contribute to grid security

Learning outcome Fully understand and be able to clearly describe/explain what a smart grid is (and is not), analyse the impact that the paradigm shift from the traditional electric power system to the smart grid has had on the planning, design and operation of the electric grid

Acquire advanced knowledge of Distributed Energy Resource (DER) technologies, their role in the smart grid, and the technical, socio-economic, environmental and regulatory aspects related to their growth and development

Be competent in applying the acquired knowledge of smart grids and DERs to the systematic and well-thought-through devising of solutions to practical problems in the context of smart grids

Be competent in designing Distributed Energy Resource Management Systems for application in smart grids, taking cognizance of relevant technical documentation and scientific literature (e.g. requirements specifications, performance standards documentation, etc.), and being able to use specialized engineering tools in the analysis, design, and development process

Ability to work as part of a (possibly multi-disciplinary) team, and competency in carrying out independent industry-relevant research work, taking ethical, socio-economical, environmental and other important considerations into account

Ability to be in charge of personal and professional growth, with a keen interest in developing the relevant skills applicable to the field of power electronics, over and above those acquired in the course of the program

Content The module has an introductory part to the smart grid, and a detailed coverage of the theory of DERs and their integration into the electric power system. The topics covered can be outlined as:

Elements of a smart electric power system

Smart electric power from generation to consumption

Introduction to Decentralized power generation

Renewable energy Sources

Energy storage and other DER technologies

Grid integration of DERs

Teaching methods Teaching will be conducted through formal lectures, tutorials, industrial case studies, assignments and practical sessions.

Teacher-centred Lectures: 45h

Tutorials: 15h

Practicals: 10h

Assignments: 8h

Consultation: 2h

Literature / Prescribed textbook

Course notes prepared by lecturer, plus:

1. Ekanayake, J., Kithsiri, L., Wu, J., Yokohama, A. & Jenkins

N., “Smart Grid: Technology and Applications”, John Wiley &

sons, Ltd., West Sussex, UK, 2012.

2. Nouredine, H. & Sabonnadière, J-C. (Ed.), “SmartGrids,”

ISTE Ltd., London, UK, 2012.

3. Jenkins, N., Ekanayake, J.B. & Strbac, G., “Distributed

Generation”, The IET, London, 2010.

4. Ngo, C., “Energy: Resources, technologies and the

environment”, The IET, London, 2010.

5. Teodorescu, R., Liserre, M. & Rodríguez, P. 2011. Grid Coverters For Photovoltaic and Wind Power Systems, 1st Ed., John Wiley & Sons Ltd., West Sussex, UK.

Infrastructure requirements and availability

Lecture hall, well-equipped smart grid laboratory, etc.,

Lecture venues are equipped with presentation media such as

projector and whiteboard

Computer rooms are equipped with the necessary simulation,

configuration and application development software packages.

The laboratories are equipped with the necessary protective

relaying equipment and, test injection devices.

Embedded systems for signal processing

Embedded Systems for Signal Processing Module Number Module Name

ESS690S Embedded Systems for Signal Processing

Module classification Technology and Innovation

Credits 6 UHCS

Language English

Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and Information Technology

Level of progression Intermediate

Teaching material Resources will be made available in the e-learning platform (Black Board)

Time composition Total time: 80h Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultations: 2h

Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering and Information Technology

Aim of the module The aim of this subject is to teach and impart relevant and critical knowledge about the underlying concepts of power system signal characteristics during steady state and dynamic conditions. This includes providing participants with the requisite knowledge to utilize the necessary tools (software and hardware) that will allow

for the processing, conditioning and analyses of these signals to assist in the development of algorithms, programs and techniques for power system monitoring, protection and control

Learning outcome Explain and understand the fundamental causes of power signal perturbations through analyses of power system signals

Identify components (Analogue and Digital) within the signal processing chain. .

Understand the importance of synchronised sampling of power system signals

Understand the basic architecture of different types of analogue-to-digital converters.

Identify sources of errors in the analogue-to-digital conversion process

Understand the role of filters in the signal processing chain

Design and simulate analogue and digital filters according to a required specification

Analyse and examine the frequency response of designed filters.

Compare the responses of different types of filters ie. FIR and IIR.

Develop algorithms and software programs to demonstrate the performance of discrete Fourier transforms for signal analysis

Content The module content introduces digital signal processing concepts as applied to power systems and Smart Grids. The objective is to provide basic knowledge of how digital signal processing can be utilised to process and analyse power system signals within the context of the Smart Grid. Fundamental digital signal processing theory, techniques and methods will be introduced as indicated below.

Introduction to causes of power system signal perturbations

Digital Signal processing terminology

Sampling Theory

Analogue-to-Digital Conversion (ADC)

Digital-to-Analogue Conversion (DAC)

Digital Filters

Digital Transforms

Common algorithms for implementation of techniques to assist with processing of power system signals in applications such as synchrophasor technology for example.

Teaching methods Teaching will be conducted as a series of lectures, practical sessions, tutorials and assignments. Individual and group participation will be inclusive of the work and deliverables required by the student participants. Software and hardware skills learnt will allow for efficient and effective solutions to real-world problems

Lectures A formal class where theoretical material will be presented with the use of different presentation media.

Practicals

This is inclusive of software simulations using different numerical computing software packages such as Matlab as well as the utilization of embedded hardware modules

Tutorials Tutorial sessions will be conducted to reinforce pertinent concepts related to the topics within this module.

Assignments To enable students to engage in and to analyze simple case studies individual and group assignments will be given to participants.

Teacher-centred Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultation: 2h


Prescribed book 1. “Power System Signal Processing for Smart Grids”, Wiley-

Interscience a John Wiley &Sons Publication, 2014.Paulo Fernando Ribeiro, Carlos Augusto Duque, Paulo Márcio da Silveira, Augusto Santiago Cerqueira

Recommended books 1. “Digital Signal Processing in Power System Protection and

Control”,Springer-Verlag London Limited 2011. Waldemar Rebizant Janusz Szafran Andrzej Wiszniewski

2. “Synchronised Phasor Measurements and Their Applications” A.G. Phadke and J.S. Thorp


Lecture Venues equipped with the following presentation media such as projector and whiteboards

Computer rooms equipped with necessary simulation software packages such as Matlab

Laboratories equipped with the following o embedded development kits o measuring equipment such as spectrum analyzers

and oscilloscopes

Energy Economics

Electricity Market in Deregulated Power Grids Module Number Module Name

EMD690S Electricity Market in Deregulated Power Grids

Module classification Planning and Implementation; Technical Management; Operation, Maintenance, QA, Risk and Safety

Credits 6 UHCS

Language English





Lectures: 45h

Tutorials: 15h

Assignments: 8h

Practicals: 10h

Consultations: 2h

Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering and Information Technology

Aim of the module Study and understand the electricity regulation, deregulation, competitive electricity markets and economics of the Smart grid systems.

Learning outcome Analyse electricity restructuring and deregulation.

Compare the retail competition with customer choice.

Analyse the wholesale Electricity market.

Compare competitive versus non-competitive electricity markets.

Examine how the electricity financial market determines risk and return.

Examine the regulatory policy variables such as regulated tariffs, access rules and quality of service requirements.

Construct the Regulatory Process which maximizes social welfare through minimizing social costs and maximizing social benefits.

Analyse the wholesale power markets where all generators compete to sell to all distributors, or directly to customers and retailers.

Analyse physical bilateral trades, where buyers and sellers individually contract with each other for power quantities at negotiated prices with accepted terms, and conditions.

Analyse the distribution company regulation

Content The module introduces the definitions of the Electricity market in the conditions of regulation and deregulation of power system and the Smart grid. The customer participation in the electricity marked is discussed too. The main topics to be presented are:

Electricity Regulation and Deregulation Electricity Economics. Definitions. Market Power and

Monopoly

The Cost of Capital definition

Alternative Methods of Project Evaluation

Electricity Economic Regulation Rate-of-Return Regulation

Competitive Electricity Markets Customer Choice and Distribution Regulation

Teaching methods The Teaching will be through formal lecture sessions, practicals, use case studies, tutorials, and presentations.

The use case studies of South Africa and U.S electricity markets will be considered to explore the local and international electricity market structure.

Practical session which includes the MATLAB simulation to analyse the Incentive regulation of the electricity market.

Practical session which includes the MATLAB simulation to analyse the electricity market project evaluation.

Tutorial sessions will be arranged which includes the examples of Net Present Value (NPV) method, project evaluation methods such as payback, average return on book value and Internal rate of return.

Tutorial sessions will be arranged which includes the examples of different tariff regulation methods such as marginal cost pricing, multipart tariffs, and peak-load pricing.

The teaching materials and communication with the students will be made available via the Black Board teaching tool.


Tutorials: 15h

Assignments: 8h

Practicals: 10h

Consultations: 2h


Prescribed books 2. Geoffrey Rothwell and Tomasg Mez “Electricity economics

regulation and deregulation”, Volume 12 of IEEE Press power systems engineering series ,Wiley- Interscience a John Wiley &Sons Publication, 2003.

Recommended readings 1. Kankar Bhattacharya, Math Bollen, and Jaap E. Daalder,

“Operation of Restructured Power Systems” Springer Science & Business Media, 2012.Deivakkannu, G., Data acquisition and data transfer methods for solving real-time power system optimisation problems, MTech dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2015.


Classrooms, Black board tool, Projector, Computer laboratory with MATLAB software installed.

Lecture venues are equipped with presentation media such as projector and whiteboard

Computer rooms are equipped with the necessary simulation, configuration and application development software packages.

The laboratories are equipped with the necessary protective relaying equipment and, test injection devices.

Energy Management

Control Design and Optimisation in Smart Grids Module Number Module Name

CDO690S Control Design and Optimisation in Smart Grids

Module classification Technology and Innovation; ICT and Data Security; Operation, Maintenance, QA, Risk and Safety

Credits 6 UHCS

Language English





Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h

Consultations: 2h


Aim of the module Design linear and non-linear controllers and develop classical and computational intelligence optimization methods, algorithms and software programs to solve the complex smart grid application problems.

Learning outcome Define and identify the characteristics of linear and nonlinear systems

Demonstrate the phase plane diagram for second order dynamic linear and nonlinear systems

Apply the Lyapunov method to evaluate stability of various dynamic systems

Describe and examine the positive and negative characteristics of the stabilization via linearization method

Determine and calculate the Lie derivatives of an affine nonlinear model of a nonlinear system

Determine and calculate the state transformed vector of an affine nonlinear system

Design the input output linearizing and stabilising controllers

Describe and analyse the definitions and conditions for the input-state linearization

Design the input-state linearizing controller

Examine the behaviour of the closed loop systems by building their models in Matlab/Simulink environment and simulations

Define the optimum of a function and of a functional

Apply the variational approach to determine the extrema of functions with conditions

Formulate and solve an optimal control problem based on a functional with conditions using Lagrange’s formalism of solution for a case of an industrial process

Design a Matlab/Simulink software for calculation and simulation of the optimal control and state trajectories

Formulate the problem of variational calculus for discrete time systems

Formulate the problem of optimal quadratic control for discrete time systems

Design a discrete time linear regulator for a given industrial process and simulate the closed loop system

Define and list the classical optimisation methods.

Solve the linear and non-linear optimization problems using the classical method.

Develop the classical optimization method for the smart grid applications.

Apply the developed classical optimisation method to solve the linear and non-linear control system problem.

Define and list the computational intelligence-based optimisation methods.

Study and understand the computational intelligence optimization methods.

Solve the linear and non-linear optimization problems using the computational intelligence methods.

Apply the classical and computational intelligence-based optimization methods to solve the smart grid applications such as economic dispatch problem, voltage and transient stability problems, load shedding, adaptive volt-var optimization problem and optimal charging control for plug-in electric vehicles.

Analyse the solutions of the optimization methods and provide recommendation.

Content The content considers studying, understanding, and application of the methods for, first: the closed loop control design of linear and nonlinear systems using state space, feedback linearization, and optimal control theories; and second: the classical and artificial intelligence theories for optimisation of linear and nonlinear systems. Applications to various cases of control and optimisation in the conditions of Smart grid are considered. The main topics to be studied are:

Definitions, models, and behaviour of nonlinear systems. Examples

Second order nonlinear system methods for analysis

Lyapunov stability. Conditions for stability

Nonlinear feedback control systems definitions and types

Principles and mathematical tools of feedback linearization

Design of Input-output linearizing controllers

Design of Input-state linearizing controllers

Introduction to Optimization and Optimal control design

Calculus of Variations and Optimal control

Linear quadratic optimal control system design

Discrete time optimal control system design

Classical Optimization methods theory

Computational Intelligence methods theory

Development of optimization methods for Smart grid applications

Teaching methods The Teaching will be through formal lecture sessions, practicals, presentations.

The control system principle and design will be taught using the MATLAB Simulink software tool.

The parallel and distributed computing principle will be demonstrate using the Cluster of computers with MATLAB Parallel computing software tool.

Simulation and demonstration of the use case studies of control and optimization method for Smart grid applications using the available software (MATLAB) and hardware (RTDS) tools at the CSAEMS laboratory.

The teaching materials and communication with the students will be made available via the black board teaching tool.


Tutorials: 15h

Practicals: 10h Assignments: 8h

Consultation: 2h


Prescribed books 1. H. K. Khalil, Nonlinear Systems, 3rd Edition. Prentice-Hall,

2002 2. J. Slotine and W. Li, Applied nonlinear control, Prentice Hall,

Englewood Cliffs, New Jersey, 1991, ISBN: 0-13-040890-5 3. Desineni Naidu, Optimal Control Systems, CRC Press,

Electrical Engineering Textbook Series, New York, 2003, ISBN: 0-8493-0892-5

4. Jizhong Zhu, Optimization of power system operation, IEEE press, wiley publication, 2nd Edition, 2015, 978-1-118-85415-0.

Recommended readings 5. A.Isidori, Nonlinear Control Systems, 3rd edition, Springer-

Verlag, Berlin, 1995, ISBN: 3-540-19916-0 6. G. Conte, C. Moog and A. Perdon, Algebraic Methods for

Nonlinear Control Systems. Theory and Application, 2nd edition, ,Springer-Verlag, London, 2007, ISBN: 978-1-84628-594-3

7. Kirk, Optimal Control Theory: An Introduction, Prentice Hall, Englewood Cliffs, New York, 1970

8. M. Athans and P. Falb, Optimal Control: An Introduction to the Theory and its Application, McGraw-Hill Book Company, New York, 2006

9. B.D.O. Anderson and J.B. Moor, Optimal Control: Linear Quadratic Methods, Prentice-Hall, New Yourk, 1990

10. Aranya Chakrabortty, and Marija D. Ilić, Control and Optimization Methods for Electric Smart Grids, Springer-Verlag New York, 2012, 978-1-4614-1604-3

11. Moein Manbachi, Hassan Farhangi, Ali Palizban, and Siamak ArzanpourSmart grid adaptive volt-VAR optimization: Challenges for sustainable future grids, Sustainable Cities and Society, Volume 28, January 2017, Pages 242–255.

12. Installation Guide - MATLAB® Distributed Computing Server™ 5, Mathworks, USA.

13. Krishnamurthy, S., Development of Decomposition Methods for Solution of a Multiarea Power Dispatch Optimisation Problem, Doctoral dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2013.

14. Deivakkannu, G., Data acquisition and data transfer methods for solving real-time power system optimisation problems, MTech dissertation, Cape Peninsula University of Technology, Cape Town, South Africa, 2015.


Classrooms, Black board tool, Projector, MATLAB toolboxes Simulink and parallel computing, Computer laboratory with MATLAB software installed.







Information and Communication Technologies

IEC61850 Standard and Cyber Security in Grids Module Number Module Name

SCG690S IEC61850 Standard and Cyber Security in Grids

Module classification Planning and Implementation; Technology and Innovation; ICT and Data Security

Credits 6 UHCS

Language English

Available for Disciplines of Electrical Engineering, Smart Grid, Computer Systems, and information Technology

Level of progression Basic

Teaching material Resources will be made available in the e-learning platform (Black Board) – Under Construction

Time composition Total time: 80h Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultations: 2h


Aim of the module This subject gives relevant knowledge on smart grid communication and cyber security. Students will learn about emerging technologies in smart grid communication, cryptography, communication network architecture, network security, cyber security threats and countermeasures, and cyber-physical systems. The course encompasses theoretical and practical aspects.

Learning outcome Demonstrate a theoretical understanding of communication networks, network architectures, topologies, protocols, communication media, and smart grid communications.

Demonstrate understand and capability to analyse the communication networks and network protocols

Understand the IEC61850 standard protocol and capability to apply its modelling concepts within the substation environment.

Differentiate between communication systems based on IEC 61850 and conventional communication protocols, and demonstrate an understanding of the building blocks of the IEC 61850 virtualised model.

Demonstrate an understanding of the networked cyber-world, cyber security framework for smart grids, data privacy, and security in smart grid, cryptography, and communication security requirements.

Differentiate between a cyber-secured and non-secured system

Understand and identify sources of threats and vulnerabilities

Formulate and apply secure frameworks utilizing cryptographic techniques, secure network topologies, security assessments and standards

Identify and understand sources of cyber threats that can impact the operation of the smart grid

Explain and understand the fundamental concepts related to cyber-physical systems

Understand and apply connectivity of the physical domain with the digital domain through sensor technologies

Design, synthesise and apply a simple IoT network for cyber-physical systems

Evaluate the topological structure of an IoT network

Develop software algorithms and programs for the embedded IoT device

Compare different hardware platforms with associated software for optimal implementation of IoT solutions

Content This module introduces fundamental IEC61850 standard with regards to architecture and topologies of communication networks as it applies to the smart grids. The IEC61850 concept of data and communication virtualization and messaging within the substation environment will also be explored. Functional requirements and performance testing of IEC61850 based systems will be introduced to understand interoperability between IEC61850 based systems. With this underlying theory in place the impact and importance of cybersecurity will be introduced with the following content indicated below.

Cyber-security terminologies and fundamentals

Secure and non-secure systems

Security assessments

Data privacy and security

Cryptography

Threats and vulnerabilities

Cyber-physical systems

Cyber security applicable standards

Sensor technologies

Teaching methods The teaching will be through lectures and industrial case studies. Includes individual and group projects and project preparation, and participation in student-led project presentations, and critical reflection. Various methods will enhance the students’ thinking skills, including field visits and industrial case studies allowing application of knowledge to real-life scenarios

Lectures Formal classes will be conducted with the aid of presentation media and lecturing material.

Practicals To practically implement theoretical concepts learnt to concretise concepts of communication protocols and networks, IEC61850 standard, cyber-security, and cyber-physical systems. This may include pre-labs in the form of simulations as well as case studies.

Tutorials

Tutorials sessions will assist with reinforcing the important concepts of the communication protocols and networks, IEC61850 standard, cyber-security and cyber-physical systems

Teacher-centred Lectures: 45h Tutorials: 15h Practicals: 10h Assignments: 8h Consultation: 2h


Recommended readings 1. Siddhartha Kumar Khaitan, James D. McCalley, Chen

Ching Liu (eds.)-Cyber Physical Systems Approach to Smart Electric Power Grid-Springer-Verlag Berlin Heidelberg (2015).

2. IEC 61850 – Communication networks and systems for power utility automation.

3. IEC 62351, Power systems management and associated information exchange—Data and communication security.

4. IEEE Std 1402™, IEEE Guide for Electric Power Substation Physical and Electronic Security.

5. IEEE Standard Cybersecurity Requirements for Substation Automation, Protection, and Control Systems: IEEE C37.240-2014.

6. IEEE Standard 1686™, IEEE Standard for Intelligent Electronic Devices Cybersecurity Capabilities.

7. NERC, Critical Infrastructure Protection (CIP). Available: at http://www.nerc.com/page.php?cid=2

8. NISTIR 7628 Guidelines for Smart Grid Cyber Security.


Classrooms, Black board tool, Projector, Labs, etc.,







Power Electronics

Power Electronics and Control in Smart Grids Module Number Module Name

PEC690S Power Electronics and Control in Smart Grids

Module classification Planning and Implementation; Technology and Innovation

Credits 6 UHCS

Language English

Available for Smart Grid designers, Mechanical (Energy) Engineers , Electrical Engineers, Electrical Technicians, Information Technology Engineers

Level of progression Intermediate to advanced

Teaching material Resources to be made available on the e-learning platform, in addition to prescribed reading material

Time composition Total time: 80-140h Lectures: 20-45h

Tutorials: 15-20h Practicals 10-40h Assignments: 8-20h Consultations: 2h Independent studies: 0-40h

Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honors); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, Electro-Mechanical Engineering, and Information Technology

Aim of the module The module acquaints the student with the key role played by Power Electronics in the Smart grid. It covers the fundamental aspects of power converter circuits and power electronic systems (encompassing characteristics of power semiconductor devices and their use in various converter circuits, the analysis and design of magnetic components and filters for power electronic systems, etc). The principle of operation and control of power electronic systems is also treated in the module, as well as their wide range of applications in the Smart grid, from distributed energy resource integration to power flow control and electric grid efficiency enhancement.

Learning outcome Gain an in-depth understanding of Power Electronic technologies, their key role as an enabling technology for many smart grid applications, and be competent in various aspects related to the analysis and design of power electronic systems for advanced smart grid applications, as follows:

Acquire an in-depth, high-level understanding of Power Electronic technologies, both at component and system levels, and understand their key role as an enabling technology for smart electric power systems

Fully understand and be able to apply (through relevant analysis, experimentation and design) various aspects of Power Electronic technologies

Be competent in applying the acquired knowledge of Power Electronic technologies to the systematic and well-thought-through devising of solutions to practical problems in the context of smart grids

Be competent in designing advanced Power Electronic technologies-based applications for smart grid systems

Capability to take cognizance of relevant technical documentation and scientific literature (e.g. requirements specifications, performance standards documentation, etc.), and being able to use specialized engineering tools in the analysis, design, and development process

Ability to work as part of a (possibly multi-disciplinary) team, and competency in carrying out independent industry-relevant research work, taking ethical, socio-economical, environmental and other important considerations into account

Ability to be in charge of personal and professional growth, with a keen interest in developing the relevant skills applicable to the field of power electronics, over and above those acquired in the course of the program

Content The module provides a detailed theoretical background needed to understand power electronics as an enabling technology for smart grids. Various aspects encompassing power electronic devices and power electronic systems, including the control of power

electronic circuits, are covered in sufficient detail to lay the platform for treating the wide range of applications of power electronics in the smart grid. The intention with this module is to establish an in-depth theoretical understanding of the core aspects of power electronics technologies, and the many tools provided thereby for meeting the needs of smart power systems. The main topics covered in the module can be outlined as:

Power electronic systems overview

Power electronic components

Power electronic converter circuits

Power electronics application to renewable generation grid

integration

Power electronics control

Digital Signal Processing in Power Electronic systems

Smart grid applications of power electronics

Other considerations of power electronic systems

Teaching methods Teaching will be conducted through formal lectures, tutorials,

industrial case studies, assignments and practical sessions.

Teacher-centred Lectures: 20-45h Tutorials: 15-20h Practicals: 10-40h Assignments: 8-20h Consultation: 2h Independent studies: 40h


Course notes prepared by lecturer, plus:

6. Mohan, N., Undeland, T.M. & Robins, W.P., “Power Electronics: Converters, Applications and Design”, 3rd Ed, John Wiley & Sons, Inc., New Jersey, 2003.

7. Ekanayake, J., Kithsiri, L., Wu, J., Yokohama, A. & Jenkins N., “Smart Grid: Technology and Applications”, John Wiley & sons, Ltd., West Sussex, UK, 2012.

8. Yazdani, A. & Iravani, R. “Voltage-Sourced Converters in Power Systems: Modeling, Control and Applications”, John Wiley & Sons, Inc., New Jersey, 2010

9. J. G. Kassakian, M.F. Schlecht & G.C. Verghese, “Principles of Power Electronics”, Addison Wesley, 1991

10. R. W. Erickson, "Fundamentals of Power Electronics”, Kluwer Academic Publications, 1997.

11. D. W. Hart, “Introduction to Power Electronics”, Prentice Hall International, 1997.


Lecture hall, equipped laboratory, power electronics simulation software






relaying equipment and, test injection devices

Project

Research Project & Report Module Number Module Name

ESG690C Research Project & Report

Module classification Planning and Implementation; Technology and Innovation; Technical Management; ICT and Data Security; Operation, Maintenance, QA, Risk and Safety; Socio Economic Analysis

Credits 36 UHCS

Language English




Time composition Total time: 600h Lectures: 0h Tutorials: 0h Practicals: 270h Assignments: 300h

Consultations: 30h

Prerequisite Bachelor of Science; Bachelor of Engineering; Bachelor of Engineering Technology (Honours); Post Graduate Diploma in a relevant cognitive field of Electrical Engineering, and Information Technology Module: Research Methodology done during the first year

Aim of the module To teach and develop Master’s graduates to be able to deal with complex research and industrial projects both systematically and creatively, to apply the research methods to design innovative solutions to complex problems in Smart grid systems, design and critically appraise analytical writing, to make sound judgments using experimental data and information, at their disposal and communicate their conclusions clearly to specialist and no specialist audiences.

Learning outcome 1.Plan and manage the research project:

Determine the research problem to be investigated and solved

With a high level of personal autonomy and accountability, plan, manage and execute a substantial research project using available resources assigned to the task (e.g. funding, infrastructure, academic, technical and administrative staff and/or assistants, etc.) and within the timeframe allocated to the project.

Demonstrate the ability to apply, integrate and contextualise advanced knowledge and skills in executing the research project 2.Conduct a literature review:

Select methods for literature search

Demonstrate an ability to select relevant sources drawing on the work of leading scholars in the field of Electrical Engineering and Smart Grid,

Determine the criteria according to which the selected literature sources will be evaluated

Produce a comprehensive literature review on different (depending on the project) perspectives in the frameworks of Smart grid

Use written communication and technical skills relevant to the discourse of the discipline and choose an appropriate genre to communicate effectively with specialist and non-specialist audiences.

Use the CPUT prescribed referencing technique for in-text references correctly and accurately.

Use the CPUT prescribed referencing technique to compile a bibliography or list of references correctly and accurately.

3.Apply research methods for data collection, analyse and interpret data:

Study of the system under consideration and the existing problem in its operation

Model and simulate the existing system. Select case studies for evaluation of the behavior of the system and the impact of the problem to be solved on it

Demonstrate a systematic understanding of a range of research methods and techniques, critically evaluate these and apply them appropriately to investigate the research problem

Decide on what methods to be used or developed to solve the existing problem.

Develop theoretically the new methods.

Apply the developed methods to solve the existing problem in the considered system through further design of algorithms and procedures to be applied to the system

Build test-beds for real-time implementation of the proposed methods and algorithms for considered system using the equipment in the research lab. Study and use the needed hardware and software for implementation of the test bed.

Plan and perform various case studies to obtain data to be used for evaluation of behavior of the system.

Compare the obtained data and evaluate the capabilities of the used or developed methods to solve the existing problem for wide range of cases. Discuss the results

4.Draw conclusions and present research results:

Formulate the contributions of the research work, research results, and deliverables. Discuss the future applications of the deliverables.

Demonstrate the ability to compile a coherent and sustained argument that is supported by research results and conclusions in the research report.

Demonstrate the ability to present in verbal, written and/or visual form, the research results and conclusions of the study to specialist audiences emphasizing the contribution to knowledge production in the field protection, automation, and control of Smart power systems.

Demonstrate the ability to present in verbal, written and/or visual form, the research results and conclusions of the research project Prepare an article for publication in an

accredited journal or peer-reviewed conference paper in consultation with supervisor(s).

Integrate all written chapters in one research report. Construct logical flow of information through the document

5.Ethics and professional practice:

Adhere to institutional policies and requirements in terms of plagiarism.

Exercise informed judgement in relation to ethical, cultural, research and professional issues relevant to the chosen research problem.

Demonstrate the ability to make autonomous ethical decisions related to the research project which affect knowledge production, and/or complex organisational and professional issues.

6. Engineering principles and norms, and Professionalism

Be capable to learn independently in the process of self-study

Judge and evaluate /her his behaviour and responsibilities in the process of development of the assignments, practicals and projects

Value and cooperate to work as a member of a team

Integrate the knowledge from the fields of mathematics, electrical engineering, control theory, optimization theory and programming

Content Summary of subject/module content This subject teaches the students through theoretical and practical research work under the guidelines of the supervisor to learn how to develop and implement an electrical engineering project for solving problems for building the elements of Smart grids The field of the research work depends on the choice of project that each student has to develop. The students are guided to understand and perform the various stages of project development as: planning and managing, conducting literature review, analysis and system simulation, application and development of new design methods, testing of the obtained solutions by building test beds and investigation of various case studies, data collection and analysis, conclusion, deliverables formulation, and future application, and research report writing. The subject R5SG01C is compulsory and is performed during the second year of the programme. It is narrow connected and supported by all Compulsory and Elective courses as it reflects the interconnections between the elements of the Smart Grid and the multidisciplinary nature of these elements and their operation. The level of knowledge corresponds to the NQF level 9.The main part of the work on the project are: 1.Plan and manage the research project 2.Conduct a literature review: 3.Apply research methods for data collection, analyse, and interpret data 4.Draw conclusions and present research results 5.Ethics and professional practice in writing the research report (thesis)

Teaching methods Teaching and learning methods are used. The teaching is done by the supervisor and promotes learning towards the attainment of specific and critical cross-field outcomes. Learning represents the activities and responsibilities of the students in the attainment of specific and critical cross-field outcomes (theoretical and practical). The distribution of time is:

Practicals: 270h – done by students Assignments: 300h – assigned by supervisor

Consultations: 30h - discussion between the supervisor and student


Prescribed book and Recommended reading lists depend on the field of research of the project. The supervisor will determine the Prescribed books and the reading list. The postgraduates are free and encouraged to search for publications in their field of research The students will rely also on all their previously acquired knowledge in theory and practice from the courses from MEng (Electrical Engineering)(Smart Grid) in order to execute all the required project work







relaying equipment and, test injection devices, RTDS

(simulator), PLCs, etc.,.

Project Research Methodology

Research Methodology Module Number Module Name

RME691S Research Methodology

Module classification Planning and Implementation; Technology and Innovation; Technical Management

Credits 6 UHCS

Language English

Available for All disciplines (Electrical Engineering, Smart Grid, Computer Systems, Information Technology

Level of progression Basic


Time composition Total time: 90h Lectures: 60h Assignments: 10h Presentations: 10h Consultations: 10h


Aim of the module The aim of the subject is to teach the different levels of the research process, code of conduct, engineering principles, ethics, and professional practice.

Learning outcome Understand the research components.

Organize the research process, characteristics and requirements.

Identify how to gather evidence for the research practice.

Identify and collect the engineering application research materials according to the scope of the study.

Develop the theoretical and conceptual frame work as part of the literature review chapter.

Investigate and review the literature according to the objective of the study and research criteria.

Formulate the research problem and objectives of the study according to the industry need.

Assess the functions of a hypothesis.

Test the hypothesis of the study through the developed research design, method and algorithms.

Demonstrate the developed algorithm and method at the laboratory level with the aid of software simulation and built-in hardware prototype.

Test the developed research methodology, method and algorithm with the software simulation or hardware test bed at the laboratory level.

Analyse the research findings and compare the results with the standard and set criteria.

Assess the research results and provide recommendation

Content The content present the main steps in development of a proposal for the research project based on review of the existing literature, formulation of the research problem, determination of the research methods to be used, and the time schedule for the work on the project. The Professional engineering practice and ethics are also presented. The main topics are:

Introduction to research methodology

The research process: a quick glance

Literature Review

Formulating a research problem

Constructing hypotheses

The research design How to write a research proposal

Teaching methods The Teaching will be through formal lecture sessions, presentations, and use case studies of smart grid application.

To Teach the CPUT guidelines for the research proposal and Thesis.

To teach the IEEE and Harvard style of referencing.

Open discussion section among the post-graduate students will be arranged to analyse the literature review.

Individual/group discussion section will be arranged to formalize the research problem, aim, objectives, and research methodology according to the scope of the study


Assignments: 10h

Presentations: 10h

Consultations: 10h


Prescribed books Ranjit Kumar, “Research Methodology a step-by-step guide for beginners”, SAGE Publications Ltd , 2011. Recommended readings CR Kothari Gaurav Garg, Research Methodology: Methods and Techniques, 3rd Edition, New Age International Publishers, 1985. David V. Thiel, Research Methods for Engineers, Cambridge University Press, 2014.


Classrooms, Black board tool, Projector and etc.,






relaying equipment and, test injection devices

Protection, Automation, and Control

Smart Grid Protection Automation and Control Module Number Module Name

SGP690S Smart Grid Protection Automation and Control

Module classification Planning and Implementation; Technology and Innovation Credits 6 UHCS

Language English





Lectures: 45h

Tutorials: 15h

Practicals: 10h

Assignments: 8h

Consultations: 2h


Aim of the module The aim of this module is to:

Discuss power system stability, types of instability, and assessments methods

Gain a thorough understanding of the theoretical and practical aspects related to protection, automation, monitoring and control of the power system components in a modern smart grid environment.

Equip participants with the ability to work with IEC61850 standard-based devices and the Real-Time Digital Simulator.

Learning outcome Analyse the various methods for power system stability assessment with respect to steady-state and dynamic

security assessments, advanced techniques, and post disturbance analyses

Evaluate and understand the need for standard-based communications in a legacy system environment

Distinguish between the various communications media available in smart grid systems and understand the application of each.

Identify and critically analyse the implementation of Phasor Measurement Units (PMU) and Wide Area Monitoring Systems (WAMS) in the application of System Integrity Protection Schemes (SIPS)

Create and develop protection schemes using multi-function IEDs.

Implement in real-time various protection and control schemes

Content The module presents the application of the IEC51850 standard for implementation of the monitoring, protection, automation, and control theories to Smart power systems, considering all 3 components generation, transmission and distribution. The main topics in the content are:

Power system stability

Introduction to Smart Grid in Power Systems

Power System protection, monitoring automation and control

Wide-area monitoring for smart grid system

Wide-area protection system for smart applications

Wide-area control for smart grid system

Standard-based communication system

IEC 61850 standard-based Protection schemes (Practical)

Substation Automation equipment

Faults in distribution System

Distribution management system

Modelling tools for analysis

Real-Time Digital Simulation

Teaching methods Teaching will be conducted through formal lectures, tutorials, industrial case studies, assignments and practical sessions.


Tutorials: 15h

Practicals: 10h

Assignments: 8h

Consultation: 2h


9. Handbook of Electrical power system dynamics-Modelling, stability, and control Ed. M. Eremia and M. Shahidehpour, John Wiley & Sons Publication, 2013.

10. Kundur, P., Power System Stability and Control, McGraw-Hill, New York, 1994.

11. Taylor, C.W., Power System Voltage Stability, McGraw-Hill, New York, 1994.

12. Van Cutsem, T. and Vournas, C., Voltage Stability of Electric Power Systems, Kluwer Academic Publishers, 1998.

13. Modern Solutions for Protection, Control, and Monitoring of Electric Power Systems, Schweitzer Engineering Labs, 2010. Ferrer, H.J.A., Schweitzer III, E.O.

14. Smart Grids–Fundamentals and Technologies in Electricity Networks, Springer, 2014. Buchholz, Bernd M., Styczynski, Zbigniew.

15. Smart Grid technology and application, Ekanayake, J., Liyanage, K., Wu, J., Yokoyama, A., and Jenkins, N. 2012.








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