Iecon15 AMI
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![Page 1: Iecon15 AMI](https://reader036.fdocuments.us/reader036/viewer/2022062523/58ec21481a28abd6668b4749/html5/thumbnails/1.jpg)
41st Annual Conference of the IEEE Industrial Electronics Society
SMART METERING SYSTEM FOR MICROGRIDS
Emilio J. Palacios-García1, Yajuan Guan2, Mehdi Savaghebi2, Juan C. Vasquez2, Josep M. Guerrero2, Antonio Moreno-Munoz1,
Brian S. Ipsen3.
1 Department of Computer Architecture, Electronics and Electronic Technology, University of Cordoba, Spain
2 Department of Energy TechnologyAalborg University, Denmark
3 Kamstrup A/S, Denmark
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05/02/2023 241st Annual Conference of the IEEE Industrial Electronics Society
• Introduction
• System Overview
• Test Scenarios and Results
• Recent Work
• Conclusion
Outline
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05/02/2023 341st Annual Conference of the IEEE Industrial Electronics Society
Conventional Electrical Meters:
Manual data collection One-way communication Energy Measurements
IntroductionTowards Smart Grid
ConventionalElectrical Meter
Collect Data manuallyCustomer Manual Billing
Smart Meter CommunicationInterface/protocolCustomer Gateway Communication
Interface/protocol
Datebase and Management system
Conventional Electrical Meters vs Smart Meters
Smart Meters:
Remote data collection Two-ways communication:
Advanced communications protocols: DLMS/COSEM, M-Bus. SML...
Advanced Measurements: Harmonic Distortion (THD) Voltage Unbalance and Variations Voltage Events (Sags and Swells)
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05/02/2023 441st Annual Conference of the IEEE Industrial Electronics Society
IntroductionHierarchical Control Strategies
Tertiary Control
Secondary Control
Primary Control
Tim
e Pe
riod
↑
Current, Voltage inner loopsDroop Control
ω / V RestorationGrid Synchronization
Power Export/Import
Demand ResponseScheduling, EMS
hours
minutes
seconds
ms μs
days
Main goalIntegration of Smart Meters in the Control Hierarchy
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05/02/2023 541st Annual Conference of the IEEE Industrial Electronics Society
System OverviewAalborg University Microgrid (MG) Lab
EthernetCommunication
DC Power Line
AC Power Line
Smart MetersSM
Each Workstation: 4 DC-AC converters LCL-Filters Two Kamstrup Smart Meters DSpace
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05/02/2023 641st Annual Conference of the IEEE Industrial Electronics Society
System OverviewMGLab Workstations
2invi
2cv2outi
Load Lo
ad
1Lkgridk
1invk2invk3invk4invk
dcv
1:1
2Lk
dck
C4
1invi
1cv1outi
3invi
3cv3outi
302FC
gigv
4invi
4cv4outi
dSPACE 10061Inverter2Inverter3Inverter4Inverter
0 1000 ,80 ,80dc
RegatronV kW A
1oL
1iL
2oL
2iL
3oL
3iL
4oL
4iL
4C 3C 2C 1C
K 382L
K 351B
Kamstrup 351B: Industrial Smart Meter. Measures the total generating power (DG) Kamstrup 382L: Residential Smart Meter. Measures load consumtion (Home/Building)
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05/02/2023 741st Annual Conference of the IEEE Industrial Electronics Society
System OverviewCommunication with Smart Meters
METERTOOL Kamstrup Software
DLMS/COSEM over Serial Optical Port
IEC 62056-21 over Optical Port
DLMS/COSEM over TCP/IP
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05/02/2023 841st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsWorkstation Configuration for the Tests
DC-AC Converter Voltage Source Inverter (VSI)
2 Loads: Load 1: 460 Ω, 50 mH per phase Load 2: 460 Ω per phase
2 Switches: Monitored Switches Controllable from Desktop PC
2 Smart Meters: Kamstrup 351B and 382L TCP/IP over Ethernet
1 Controller: dSPACE real time controller ControlDesk Interface
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05/02/2023 941st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsMeasurement Capabilities
Load Profile Log Both 351B and 382L Models 5 min to 60 min resolution A+/A-/R+/R- Depth in days (351B):
450 days 60min 1 variable 17 days 5 min 4 variables
Depth in days (382L): 2388 days 60min 1 variable 61 days 5 min 4 variables
Voltage Quality Log Both 351B and 382L Power Failures per phase Overvoltages and undervoltages Configurable thresholds
Analysis Log Only available in 382L Model 5 min to 60 min resolution Up to 16 variables and 520 days
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05/02/2023 1041st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 1. Load Profile Measurement
Variables Active Power P+ Reactive Power Q+ Active Energy P+ Reactive Energy Q+
Resolution 5 minutes
Load Profile Monitoring Demand Response Load Scheduling EMS
Consumers Information Better demand predictions User feedback
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05/02/2023 1141st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 2. Voltage Quality Events Detection
Three-phase voltages 5 minutes resolution
±10% Voltage tolerance
Voltage Quality logger is faster than the analysis logger
2 Events detected: Under voltage at 15:12:14 Voltage restoration at 15:41:51
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05/02/2023 1241st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 3. Droop Control Monitoring
PkQkE
p
v
Droop Control Strategy
Droop Control: Primary Control Strategy P control by changing Frequency Q control by changing Voltage
Secondary Control: Voltage and Frequency Restoration
Power ActiveFrequency
Power ReactiveVoltage
P
QE
Smart Meters Variation longer than 5 min Voltage Quality Logger can be
configured (faster than analysis logger)
Check Control functionalities Detect failure in secondary control
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05/02/2023 1341st Annual Conference of the IEEE Industrial Electronics Society
Recent Work
SmartMeter
Energy Management System
DatabaseManagement
System
Forecasting Module
Scheduling and
Optimization
Radio MeshEN 13757-5
Data Concentrator
Transformer
Digital Control
PlatformPC
Set. 4
Transformer
Digital Control
PlatformPC
Set. 2
Transformer
Digital Control
PlatformPC
Set. 1
Transformer
Digital Control
PlatformPC
Set. 3
OMNIA
Wireless Communications Radio Mesh
Data Concentrator TCP/IP to PC
API and Database On Demand Reading Conventional Readings Historical records
Additional Modules Forecasting Scheduling
Water and District HeatingMeters Integration
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05/02/2023 1441st Annual Conference of the IEEE Industrial Electronics Society
Conclusions
• Benefits of Integrating Smart Metering Systems inside the electrical Grid: Bi-directional Communications Advanced Measurements (Not only energy, but also PQ) Tertiary Control
• Tested in three practical Scenarios: Load Profile Measurement
Demand Response (DR) and Load Scheduling techniques PQ Events Detection
Improve Supply Quality with Low Cost Droop Control Monitoring
Supervising and detecting functionalities of the Microgrid
• Recent Installation: Full AMI System Central Database System Integration of self developed modules for EMS
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41st Annual Conference of the IEEE Industrial Electronics Society
SMART METERING SYSTEM FOR MICROGRIDS
Thanks for your attention!Mehdi Savaghebi
[email protected] M. Guerrero
[email protected] [email protected]
Juan C. [email protected]
Emilio J. Palacios-Garcia
[email protected] Moreno-Munoz
[email protected] S. [email protected]
Industrial Electronics & Instrumentation
~~~
For Further Information:www.microgrid.et.aau.dk
www.meter.et.aau.dk