evolving concepts of wide area measurements in the electric power industry
DESCRIPTION
Evolving Concepts of Wide Area Measurements in the Electric Power Industry. R. Jay Murphy Macrodyne Inc. WAMS Definition. Real Time, Synchronized Data Acquisition used to Dynamically Control, Monitor, and Manage Power Grid Network Performance. WAMS Driving Forces. - PowerPoint PPT PresentationTRANSCRIPT
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IEEE Toronto•August 9, 2004
Evolving Concepts of Wide Area Measurements in the Electric Power
Industry
R. Jay Murphy
Macrodyne Inc.
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IEEE Toronto•August 9, 2004
WAMS Definition
Real Time, Synchronized
Data Acquisition used to Dynamically Control, Monitor, and Manage Power Grid Network Performance
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IEEE Toronto•August 9, 2004
WAMS Driving Forces
• Large Interconnected
Networks• August 1996• August 2003• Rapid Network Expansion
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IEEE Toronto•August 9, 2004
WAMS Facilitation
• Hardware Evolution• GPS Network• Communication
Infrastructure
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IEEE Toronto•August 9, 2004
WAMS Networks
• WECC• CFE Mexico• North East China Power• Eastern Interconnect PP
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IEEE Toronto•August 9, 2004
WAMS Issues and Solutions
PMU DFR Relay
Substation 2
PMU DFR Relay
Substation 1
PMU DFR Relay
Substation n
. . . . . .
Area Monitoring
System-wide Controller
Cluster Monitoring
Lack of the Information, Communication Foundation !!!
SGU (gateway) SGU
(gateway) SGU (gateway)
SGU (gateway)
UDC UDCUDCDDB DDB
GPS
NTP Server
Power Grid Information, Communication FoundationDPMDPA MSUOMU
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IEEE Toronto•August 9, 2004
OMU
DPA
DPA
Networks
UDC
OMU
PMU
DFR
IDE
PMU
DFR
IDE
DPM
DPADDB
WEB
UDCDDB
WEB
SGUDDB
WEB
SGUDDB
WEB
• Large-scale, multi-input & multi-output• IP based Network focusing on real time data flow (QoS)• Scalable, Integrated and complete turn key solution • Center Management & Distributed Opt.• Resource & Information Sharing• Embedded DDB & WEB Server• Support both Legacy and advanced IEDs• Compliant with current WSCC and IEEE 1344 (R2001), IEEE C37.118 Standards
• Support current WSCC applications and 3rd party application with API• Unlimited MIPS for Real Time DPM
WSCC: PSM Tool kits Prony & Ringdown Stream Reader Spectrum Analyzer etc.
Substation Devices + Communication Network + Applications
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IEEE Toronto•August 9, 2004
Real time wide area synchronized phasor measurements such as those from PMUs, allow for innovative solutions to traditional utility problems.
WAMS
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IEEE Toronto•August 9, 2004
Advanced Network Protection based upon synchronized phasor measurements can be implemented, with options for improving overall system response to catastrophic events.
WAMS
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IEEE Toronto•August 9, 2004
Advanced Control Schemes using remote feedback become possible in order to improve the performance of the controllers.
WAMS
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IEEE Toronto•August 9, 2004
Power System Monitoring and Analysis are much improved because precise snapshots of the system states are obtained through GPS synchronization.
WAMS
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IEEE Toronto•August 9, 2004
Precise Measurements of the Power System State can be obtained at frequent intervals so that dynamic phenomena can be grasped at the control center, and appropriate control actions taken.
WAMS
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IEEE Toronto•August 9, 2004
An early application of WAMS information will be ensuring both Voltage and Dynamic Security on the power system.
WAMS
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IEEE Toronto•August 9, 2004
Advanced Network Protection: The availability of wide area measurements in real time offers much advancement in power system protection. Excluding pilot schemes, most protection today relies on a pre-defined system study with certain assumptions. Use of real time data from different points could greatly reduce the chance of system error.
WAMS
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IEEE Toronto•August 9, 2004
Advanced Control: Numbers of controllable devices are being installed by the electric utility industry. Examples are: Power System Stabilizers, Static VAR Compensators, HVDC links, and Unified Power Flow Controllers.
WAMS
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IEEE Toronto•August 9, 2004
The tasks of these controllers are to act in such a way that the defined control objective functions are optimized. For example, a power system stabilizer may have as its objective the damping of electromechanical oscillations in the power system. The objective of an SVC controller may be to improve the voltage profile at certain critical buses in the network.
WAMS
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IEEE Toronto•August 9, 2004
In all cases, the controllers use locally derived signals as feedback. Since the phenomenon being controlled is often defined in terms of wide-area system variables, present day controllers depend upon a mathematical model of the control process, the system dynamics, and the relationship between the local variables and system state.
WAMS
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IEEE Toronto•August 9, 2004
Synchronized phasor measurements offer a unique opportunity to bring in the remote measurements of system state vector to the controller, and thus remove the uncertainty associated with the mathematical model from the control loop.
WAMS
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IEEE Toronto•August 9, 2004
Through this, the controller becomes primarily feedback-based, rather than model-based, in its implementation.
WAMS
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IEEE Toronto•August 9, 2004
Advanced System Monitoring: To date, most monitoring has been relegated to post mortem analysis of catastrophic events on power systems. The extreme time accuracy of PMUs can greatly enhance this analysis if the units are widely deployed throughout the system and easily accessible.
WAMS
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IEEE Toronto•August 9, 2004
However, one area that has not received excessive analysis is the application of wide area sensors on a utility global level for on-line analysis. This type of system could revolutionize the way that present utility systems are operated and interact.
WAMS
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IEEE Toronto•August 9, 2004
These types of networks can provide real time monitoring, analysis, control, and trading potential for an area or even a country.
WAMS
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IEEE Toronto•August 9, 2004
One of the most important elements of modern Energy Management Systems currently deployed by electric utility companies is the State Estimation of the power system from real-time measurements.
WAMS
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IEEE Toronto•August 9, 2004
The state of the power system is defined as the collection of the positive sequence voltages at all the network buses obtained simultaneously.
WAMS
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IEEE Toronto•August 9, 2004
The technology of state estimation currently in use was developed in the 1960s, and is based on measurements that are unsynchronized. This results in a nonlinear equation that must be solved on-line to estimate the state of the system.
WAMS
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IEEE Toronto•August 9, 2004
Consequently, the state vector estimated in the present technology is updated on a periodic basis, and is incapable of providing information about the dynamic state of the power system.
WAMS
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IEEE Toronto•August 9, 2004
Synchronized phasor measurements provide a completely new opportunity to re-cast the entire state estimation process. With the use of the technology, much of the uncertainty and approximation inherent in the present state estimation systems will be removed, and the utilities will be in a position to move on to advanced static and dynamic contingency analyses of their network in real-time.
WAMS
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IEEE Toronto•August 9, 2004
This new approach to system state estimation, or state measurement, could revolutionize the way systems are operated. System loading, intelligent adaptive contingency analysis, load shedding, stability and other applications could be greatly improved.
WAMS
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IEEE Toronto•August 9, 2004
Another extension of the dynamic state measurement is transaction clearing for energy trading. Instead of relying on “estimated” power system values from competing state estimators, the energy exchange could use the synchronized measurement technology, coupled with high-speed data transmission networks to provide this information in real time.
WAMS
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IEEE Toronto•August 9, 2004
Future applications will be automatic controls to prevent or mitigate system disturbances, and operation planning assistance. Equipment outage data can be used in maintenance optimization. WAMS will coordinate with existing software and with FACTS devices. Benefits include faster access to real-time information, enhanced automated control, increased asset utilization, and enhanced reliability.
WAMS
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IEEE Toronto•August 9, 2004
WAMS - Adaptive Relay
• Changing Operating Levels Affect Ideal Relay Settings
• Phase Angle Across Network Can be Utilized to Adjust Under Frequency Trip Levels
• Modification to PMU Firmware Allows Output of Relay Trip Setting
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IEEE Toronto•August 9, 2004
Adaptive Relay
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IEEE Toronto•August 9, 2004
Adaptive Relay
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IEEE Toronto•August 9, 2004
Active Disturbance Damping
• Northwest US Develops Oscillation with Southwest.
• Low Frequency Oscillations may Lead to System Breakup.
• Power Transfer Levels Must be Reduced to Inhibit Instability.
• Active Modulation of DC Intertie Permits Increased Transfer while Maintaining Stability.
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IEEE Toronto•August 9, 2004
jfh
HVDC Terminal
SUNDANCE
FT. PECK
KEMANO
PEACE CANYON
MICA
VANCOUVER
SEATTLE
PRINCE RUPERT
AREA
AREA
COLSTRIP
BOISE
PORTLANDAREA
MALIN
TABLE MTN
ROUND MTN
SALT LAKECITY AREA
MEXICO
EL PASOAREA
PALO
DEVERS
LUGO
SAN FRANCISCOAREA
MIDPOINT
LOS ANGELESAREA ALBUQUERQUE
AREA
VERDE
NAVAJO
DENVER
AREA
MOJAVE
HOOVER
PHOENIXAREA
HOT SPRINGS
HELLSCANYON
JOSEPH GRAND
BURNS
PINTO
COULEE
SHASTA
WILLISTON
LANGDON
CORONADO
DELTA
CHIEF
MONTROSE
LANDINGMOSS
MIDWAY
jfh
FOURCORNERS
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
PPSM
Active Disturbance DampingWAMSWWW
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IEEE Toronto•August 9, 2004
Model Verification
• Computer Models are Heavily Relied Upon to Predict Transfer Capacity, Stability, and Transient Performance.
• Faulty Models will Lead to Erroneous Action and System Failure.
• PMUs Permit, not only Accurate State Measurement, but Permit Comparison of Actual System Response with Model Prediction.
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IEEE Toronto•August 9, 2004
Power swings on total California-Oregon Interconnection (COI) for WSCC breakup of August 10, 1996. Standard WSCC model (MW).
4000
4200
4400
4600
0 10 20 30 40 50 60 70 80 90
4000
4200
4400
4600
Time in Seconds
Simulated COI Power (initial WSCC base case)
Observed COI Power (Dittmer Control Center)
Model Verification
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IEEE Toronto•August 9, 2004
NECP WAMS Project Phase I
• Three Provinces with Population of 120 Million• 500kV Power Grid, with E1 (2Mbps) Fiber Optic Network for WAMS
• 21 PMU (17 Macrodyne, 4 Sifang) • 7 SGU, 1 UDC• China EPRI App
• Phasor data stream rate @ 50 frame/second• Save 30 day of record w. same rate
伊敏Yi Min
方正Fang Zheng
哈南Ha Nan
合心He Xin
东丰Dong Feng
辽阳Liao Yang
锦州Jin Zhou
绥中Sui Zhong
元宝山Yuan Bao Shan
沈阳Shen Yang
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IEEE Toronto•August 9, 2004
EASTERN INTERCONNECT PHASOR PROJECT
• RESPONSE TO AUGUST 14, 2003 EVENT
• DOE AND UTILITY FUNDED
• IMPLEMENTATION BY AUGUST, 2004
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IEEE Toronto•August 9, 2004
EASTERN INTERCONNECT PHASOR PROJECT
• AEP, ENTERGY, NYPA, TVA
• PDC DATA INTERCHANGE VIA IP
• 50 PMUs INTERCONNECTED
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IEEE Toronto•August 9, 2004
EASTERN INTERCONNECT PHASOR PROJECT
• INITIAL GOALS
– REAL-TIME DATA PRESENTATION– RAPID POST-MORTEM ANALYSIS– INTERCONNECTED SYSTEM ANALYSIS– NYPA STATE ESTIMATOR
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IEEE Toronto•August 9, 2004
EASTERN INTERCONNECT PHASOR PROJECT
• FUTURE GOALS
– REAL-TIME DATA ANALYSIS– IMPROVED SYSTEM TRANSFER– SYSTEM STATE MEASUREMENT
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IEEE Toronto•August 9, 2004
IMPLEMENTATION
• SPECIAL PROBLEMS
• SYSTEM UPGRADE
• NEW CONSTRUCTION
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IEEE Toronto•August 9, 2004
IMPLEMENTATION
• MOST BENEFITS ARE INCREMENTALLY DERIVED
• COSTS ARE INCREMENTALLY INCURRED
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IEEE Toronto•August 9, 2004
Wide Area Measurement Systems
WAMS/IEEE TORONTOWAMS/IEEE TORONTO
August 9, 2004August 9, 2004`
QUESTIONS
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IEEE Toronto•August 9, 2004
PHOENIXAREA
MIGUEL
N.GILA
VAIL
PALOVERDE
CHOLLA
GLENCANYON
NAVAJO
SPRING-ERVILLE
FOURCORNERS
GREENLEE
WESTMESA
SAN JUAN
BLACKWATER
CORONADO
ARTESIA
AMRAD
CALIENTEDIABLO
DENVERAREA
CRAIG
RIFLEBONANZA
BENLOMOND
CAMPWILLIAMS
MIDPOINT
VALMY
TRACY
HARRY ALLEN
MARKETPLACE
INTER-MOUNTAIN
SIGURDHUNTER/EMERY
PINTORED BUTTE
DEVERSLOS
ANGELESAREA
MEDFORD
MALIN
ROUNDMT.OLINDA
TABLE MT.VACA-DIXON
TESLA
SAN LUIS
GATES
DIABLOCANYON
MIDWAY
SUMMERLAKE
GRIZZLY
BROADMAN
PORTLANDAREA
HARTFORDMIDWAY
CHIEFJOESPH
GRANDCOULEENANEUM
LOWERMONUMENTAL
DWORSHAK
TAFT
GARRISON
TOWNSEND
BROADVIEW
COLSTRIP
JIMBRIDGER
LARMIERIVER STA.
BORAH BRADY
SEATTLE/TACOMAAREA
SANFRANCISCOAREA
WSCC Grid