An Update on Hydro-Québec Advanced Distribution Automation...
Transcript of An Update on Hydro-Québec Advanced Distribution Automation...
An Update on HydroAn Update on Hydro--QuQuéébec bec Advanced Distribution Automation Advanced Distribution Automation
ProgramProgram
Georges SimardGeorges SimardOrientations Orientations dudu rrééseauseauDirection Direction GestionGestion de de l'actifl'actif -- VPRDVPRD
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OutlineOutline1. General approach
2. Hydro-Québec's ADA projects1. Volt and VAR Control
2. Fault location
3. Underground Vault
4. PQ Data from Distribution substation
5. Data management – software analysis
3. Next steps
4. Hydro-Québec's Distribution roadmap
5. Conclusion
July 2006July 2006
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Intelligent Distribution NetworkIntelligent Distribution NetworkFlow of InformationFlow of Information
DATA(Using what?)
Voltage
Fault Currents
Load Currents
Temperature
Number of Operations
Applications(How?)
Voltage Control
Optimised Load Flow
Fault Location
Faulty Equipment
Power Quality Evaluation
Technologies
Business drivers (Why?)
Energy Efficiency
Reliability
Distributed Resources
Power Quality
Customer Satisfaction
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•T
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Intelligent Distribution Network Intelligent Distribution Network Flow of DecisionFlow of Decision
DATA(Using what?)
Voltage
Fault Currents
Load Currents
Temperature
Number of Operations
Applications(How?)
Voltage Control
Optimised Load Flow
Fault Location
Faulty Equipment
Power Quality Evaluation
Technologies
• T• T • T
•T
•T
Business drivers (Why?)
Energy Efficiency
Reliability
Distributed Resources
Power Quality
Customer Satisfaction
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Distribution Network Distribution Network –– DA RoadmapDA Roadmap
Business DriversBusiness Drivers ProjectsProjects Years Years .•• ReliabilityReliability Remote ControlRemote Control 2006 2006 --20122012•• Energy EfficiencyEnergy Efficiency DER HQ ProgramsDER HQ Programs 2006 2006 --20152015•• Energy EfficiencyEnergy Efficiency Voltage ControlVoltage Control 2008 2008 --20152015•• ReliabilityReliability Fault LocationFault Location 2008 2008 --20152015•• ReliabilityReliability Underground VaultUnderground Vault 20082008-- 20152015•• Power Quality (PQ)Power Quality (PQ) PQ MonitoringPQ Monitoring 2008 2008 --20152015•• Energy EfficiencyEnergy Efficiency Load side ManagementLoad side Management 2009 2009 --20152015•• Customer SatisfactionCustomer Satisfaction Predictive MaintenancePredictive Maintenance 20092009-- 20152015•• ReliabilityReliability Automatic ReconfigurationAutomatic Reconfiguration 2010 2010 -- 20152015•• Customer SatisfactionCustomer Satisfaction Customer PortalCustomer Portal 2010 2010 --20152015•• Energy EfficiencyEnergy Efficiency MicroMicro--gridgrid 2015 2015 -->>
DistributionTransmission
Energy
Energy
ResidentialResidential
IndustrialIndustrial
InstitutionalInstitutional
Customers
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VOLT and Var Control
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Improve energy efficiency by reducing the voltage
The amount of energy bought at marginal price (8,3¢/kWh) and delivered to customers (6,5¢/kWh) Peak load of the systemEnergy losses
Project ObjectivesProject Objectives
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Voltage level at a customer installation at the remote end of a feeder
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110
115
120
125
Time over one year
Volta
ge (V
)
With Voltage Control
Present (without VC)
Benefit
Voltage control leads to energy saving.
Normal voltage range as per (C.235)
Voltage control Voltage control benefitbenefit
Summer
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Volt Volt andand VARS Control Project ConceptsVARS Control Project Concepts
Minimum CSA C235 = 115 V
Substation End of feeders
123 V
Actual
Volt andVARS Control
VoltControl
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Volt and VARS Control Intelligent SystemVolt and VARS Control Intelligent System
Regulation control
Voltage setting
Sensor
115 V
Control Logic on
Regulation andOnline capacitors
SensorSensor
Sensor
Telecommunications
Sensor
Current system The control logic must select the voltage level to use from all the voltage readings from the remote end sensors and capacitors
123 V
p.5
1111
Phase 1: Volt Reduction Phase 1: Volt Reduction Reducing voltage settings at the substation to reduce energy and peak load
Studies to be done to fix the voltage level (must consider type of load – constant impedance, power or current proportions)Must keep a margin for dynamic operations and unbalanced loadsPower Quality monitoring may be needed to insure respect of C235
Phase 2: Volt and VARS Control Phase 2: Volt and VARS Control Voltage and VARS controlled through remote sensors on the feeder
Intelligent system to optimise online capacitors management and volt control in a single system
Project DescriptionProject Description
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ResultsResults and and nextnext stepssteps
Phase 1 : Manual voltage reduction test at a typical distribution substation confirmed an average CVR of 0,4 over one year (1% of voltage reduction = 0,4 % of energy conservation)Phase 2 : Demonstration project – End 2008HQD aims to deploy a global Volt and VARS Control project by 2008-2015
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Fault location
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HydroHydro--QuQuéébec's Distributed Approachbec's Distributed Approach
Voltage Drop Fault Location (VDFL) Distributed PQ analyzersVoltage Sags waveformsMost feeders require only 4 measurement sitesEasy measurement
Low voltage (customer side)GPS not required (no precise synchronisation required)Calibration not needed
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0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 0.23 0.25
VA VB VC
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0.036 0.056 0.076 0.096 0.116 0.136 0.156 0.176 0.196 0.216 0.236
VA VB VC
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VA VB VC
Substation
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E
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Patent PendingPatent Pending
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VDFL Basics (1)VDFL Basics (1)
V
D
D F
E
Distance to faulty lateral
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Vli
VlrVd
VD
VF
VE
VDFL Basics (2)VDFL Basics (2)
d1
D FE
z1
z2
d2
z3
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VDFL deduce :Fault currentPosition of faulty lateralDistance to faultArcing voltage
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MILE MILE -- Voltage drop on phase CVoltage drop on phase C
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MILE MILE –– Fault Probable LocationsFault Probable Locations
2020
Burning traces located on conductor at mid distance between poles.
Fault locatedFault located
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0 0 0 0 0
1
0
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0-50
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010
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0020
0-250
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0030
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Absolute error (m)
Occ
uren
ce
Average absolute error: 188 mError spread: -315m to 619 m
Fault Location AccuracyFault Location Accuracy
95% of the distribution faults located are within 332m
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AdvantagesAdvantages
The main advantages are:PRECISION: faults are located within an average absolute error of 188 meters (617 ft). Independent of fault contact impedance.INTEGRATION: with existing distributed advanced systems such as AMI or ADA: The same sensors used for VDFL can be used for PQ qualification of the system and possibly voltage andVAR control. This system needs only software and computers to treat the data that will lead to fault location.TIME STAMP NOT NEEDED: waveshape synchronization is done through the software.ABSOLUTE PRECISION NOT NEEDED: The VDFL technique automatically compensates for lack of monitoring accuracy.
23© 2007 Electric Power Research Institute, Inc. All rights reserved.
Approaches for fault location
• Fault location based on voltage monitoring at distribution system locations (Hydro Quebec)
• Fault location based on voltage and current monitoring at substation (EPRI PQView)
• Fault location with fault current indicators (communicating)
24© 2007 Electric Power Research Institute, Inc. All rights reserved.
Example of waveforms used for fault location
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0
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0
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0.00 0.05 0.10 0.15
Single-Phase Fault Evolves into Two-Phase
EPRI/Electrotek PQView®
Vol
tage
(kV
)C
urre
nt (k
A)
Time (s)
Va Vb Vc Ia Ib Ic
1B 2AB2.195 2.216
10.012.515.017.5
1
2
3
2.5
5.0
7.5
10.0
0.05 0.10 0.15
Single-Phase Fault Evolves into Two-Phase
Vol
tage
(kV
)C
urre
nt (k
A)
Rea
ctan
ce (o
hms)
Time (s)
Va Vb Vc Ia Ib Ic XTF
25© 2007 Electric Power Research Institute, Inc. All rights reserved.
Key Application – Fault Location
Measurements
Probable fault locations
Known fault
location
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FaultFault location location nextnext stepssteps
Collaboration between EPRI and Hydro-Québec (2 mirror projects):
Hydro-Quebec will expand its actual fault location project by implementing fault current measurement in a HQ substation and using EPRI's concept through PQView.EPRI will find a partner among US utilities to implement Hydro-Québec's fault location system as a demonstration project
Hydro-Québec continues to improve its faultlocation system (Cost of sensors and telecommunication, MILE predictivecapabilities…)
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Underground Vault
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Underground DA programUnderground DA program
Justification: improvedowntown MontrealSAIDI
Completed in 2006 (~ 100 remote controlledunderground switches)
Optical fiber is usedfor telecommunication
Project to extend data acquisition for the underground system (system of the future)
3ph Transformers 1Ph Transformer
Sectionnalizing
Underground transformer vault
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Teaching installation, 1 st. prototype
RTU
Connexion box
Underground remote control switchWater levelindicator
Optical fibers
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Underground Underground VaultVault of the futureof the future
First stage of the project (defining the needs)From 8 potential benefits, 2 were selected
Transformers and underground cable overloadTeledetection of thermal anomalies
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Underground Underground VaultVault -- TodayToday
Underground vaultToday (Year 2000)
Transformers :
Medium voltage cables3ø, 500 or 750 MCM Al, 25 kV,
XLPE, cn Cu1ø, 3/0 Al, XLPE, Nc Cu
MV connections :
ComponentsComponents
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Underground vaultTomorrow
Transformers :
Medium voltage lines and Sectionnalizer :
MV connections :
- Overload- Water level- MV voltage - LV Protection opération
- Fault detection- Feeders currents-Overload
Data acquisition systemLoad profile- Follow-up of thermal evolution
- Detection et teleindication of thermal anomaly
- Water presence- Waterpump monitoring
Underground Underground VaultVault of the futureof the futureTelemonitoringTelemonitoring
ComponentsComponents
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PQ data from Distribution substations
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PQ data PQ data fromfrom Distribution Distribution substationssubstations
Hydro-Québec's substations belong to the transmission company (TransÉnergie)Substations PQ monitoring equipment selected in 2006: ION 8600 / 8800 from Schneider-PML
One PQ meter per MV busbar or Power Transformer
More than 50 meters installed by the end of this year, (57 planned for 2008)Joint working group (HQ Distribution / TransÉnergie) to optimize the data management (Secure Data access, Data architecture and software, standard reports, specific PQ analysis…)
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Data management software analysis
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DATA Management DATA Management –– SotwareSotware analysisanalysisThe goals are:
Analyze the Software available to manage the distribution equipment (Reclosers, Remote Controlled Switches, Voltage Regulators, Meters…) installed on Hydro-Québec's distribution system:
Precision and accuracy
Compatibility, file format
Ease of use
Gather information to optimize the data management for Hydro-Québec's technical staff
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RESULTS RESULTS -- Control, relay & meter software Control, relay & meter software interface characteristicsinterface characteristics
Interface Software
* Test on IED and corresponding software not performed yet
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RESULTS RESULTS -- Control, relay & meter software Control, relay & meter software interface characteristicsinterface characteristics
* Test on IED and corresponding software not performed yet
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CONCLUSIONS CONCLUSIONS -- Control, relay & meter Control, relay & meter software interface characteristics software interface characteristics
The analysis of the software results in the following conclusions:
Software Interface:
All the different equipments present on the distribution system have their own proprietary software not compatible to each other, making very difficult for distribution engineers and technicians to communicate with the equipments, retrieve and interpret the data.
Most of the software interfaces were found to be user friendly.
Some interfaces are more complex and difficult to use (Versatility).
PQVIEW is the most versatile software so far
Data file format:
Several file formats are used: text, PQDIF, COMTRADE, SQL, etc.
So far, an SQL database has shown great advantages.
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CONCLUSIONS CONCLUSIONS -- Control, relay & meter Control, relay & meter precision and accuracy precision and accuracy
Controls Measurement Accuracy and Linearity
The accuracy of controls measurement is acceptable, but the measurements do not fully comply with international standards.
Meter Accuracy and Sampling Rate
The accuracy of meters is higher than that of controls. The meters comply with some of the international standards. Their sampling rate ranges from 128 to 1024. Some of them qualify for class A as defined by IEC 61000-4-30.
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Data management Software analysis Data management Software analysis --General conclusionGeneral conclusionData management from today's equipment is possible but it is surely not optimal
There is a need for data integration to reduce cost and improve data acquisition efficiency
This project brought knowledge about present distribution equipment performance and improvements to do in the future (technologies, sensors, standards…) to integrate data acquisition
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Distribution Network of the futureDistribution Network of the futureDistributionDistributionTransmissionTransmission
P&PP&P
P&PP&PP&PP&P
P&PP&PP&PP&P
P&PP&P
P&PP&P
P&PP&PP&PP&P P&PP&P
Energy exchange
Architecture IEC 61850Architecture IEC 61850 ResidentialResidential
IndustrialIndustrial
InstitutionalInstitutional
Customers
Collaboration is needed between utilities and manufacturers Collaboration is needed between utilities and manufacturers to define distribution data integration standards to define distribution data integration standards
based on IEC 61850 and CIM standards.based on IEC 61850 and CIM standards.
Distribution system technologies Distribution system technologies (sensors, control cabinet, meters(sensors, control cabinet, meters……) development ) development
and software must be coordinated through standardsand software must be coordinated through standardsto reduce cost and reach a "plug and play" design.to reduce cost and reach a "plug and play" design.
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Next steps
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Next steps in HydroNext steps in Hydro--QuQuéébec's ADA bec's ADA programprogram
1. Volt and VAR Control• Demonstration project – End 2008
2. Fault location• 2 mirror demonstration projects (one in Québec, one in the US) –
Collaboration with EPRI
3. Underground Vault• Beginning of stage 1
4. PQ Data from Distribution substation• Joint working group (HQ Distribution / TransÉnergie) to optimize the
data management from the PQ monitoring equipment
5. Data management • Software analysis – completed
• Sensors analysis - 2008
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HydroHydro--QuQuéébec'sbec's DA/DER test lineDA/DER test lineThe test line has been used for
DA equipment performancesBroadband on Power Line testsPower Quality BenchmarkData management software
In 2008, it will be used forSensors analysisCapacitors testingDER testing
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Hydro-Québec's Distribution roadmap
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Phase 1
December 2006
Phase 2
June 2007
Phase 3
December 2007
Collecte de l'information
Balisage
Plans d'évolution actuels
Enjeux d'affairesPrincipes directeurs
Élaboration d'une vision
Élaboration du plan d'évolution
Plan d'évolution intégré
Études AnalysesValidation
Élaboration de la vision commune
Développement de la R&D
Homologation d'équipements
Émission d'encadrements
Plans de travail
Convergence
Collecte de l'information
Balisage
Plans d'évolution actuelsPlans d'évolution actuelsPlans d'évolution actuels
Enjeux d'affairesPrincipes directeurs
Élaboration d'une vision
Élaboration du plan d'évolution
Plan d'évolution intégréPlan d'évolution intégré
Études AnalysesValidation
Élaboration de la vision commune
Développement de la R&D
Homologation d'équipements
Émission d'encadrements
Plans de travail
Convergence
Global Roadmap ProcessGlobal Roadmap Process
Benchmarking
Studies,Analyses
Work plans
Integrated development plan
Collection of information
Elaboration of a vision
Elaboration of a shared vision
Elaboration of a development plan
Business driversGuiding principles
Current development plans
CohesionR&D Development
Equipment certificationPublication of standards
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HydroHydro--QuQuéébec's Distribution roadmapbec's Distribution roadmap
In 2007 Hydro-Québec started a global roadmap exercise Technology: a contribution to efficiency
Up to now the roadmap confirms that telecommunication technology will impact operation, maintenance and metering for the next 15 years
The general design of both overhead and underground systems should remain the same for the next 15 years
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ConclusionConclusionHydro-Québec has started several projects related to Advanced Distribution Automation
Demonstration projects will be launched on Volt and Var Control and Fault location projects in 2008Data management studies will continue in 2008 (PQ data coming from substations and Sensors installed on feeders)
Collaboration is needed between utilities and manufacturers to define distribution data integration standards