Role of Synchronized Measurements In Operation of Smart Grids
|
|
- Logan Hicks
- 5 years ago
- Views:
Transcription
1 Role of Synchronized Measurements In Operation of Smart Grids Ali Abur Electrical and Computer Engineering Department Northeastern University Boston, Massachusetts Boston University CISE Seminar November 12, 2010
2 Operating States of a Power System NORMAL STATE SECURE or INSECURE RESTORATIVE STATE EMERGENCY STATE PARTIAL OR TOTAL BLACKOUT OPERATIONAL LIMITS ARE VIOLATED
3
4
5 Recommendation 12: Install Additional Time-Synchronized Recording Devices as Needed A valuable lesson from the August 14 blackout is the importance of having timesynchronized system data recorders. NERC investigators labored over thousands of data items to synchronize the sequence of events, much like putting together small pieces of a very large puzzle. That process would have been significantly improved and sped up if there had been a sufficient number of synchronized data recording devices. NERC Planning Standard I.F Disturbance Monitoring does require location of recording devices for disturbance analysis. Often time, recorders are available, but they are not synchronized to a time standard. All digital fault recorders, digital event recorders, and power system disturbance recorders should be time stamped at the point of observation with a precise Global Positioning Satellite (GPS) synchronizing signal. Recording and timesynchronization equipment should be monitored and calibrated to assure accuracy and reliability. Time-synchronized devices, such as phasor measurement units, can also be beneficial for monitoring a wide-area view of power system conditions in real-time, such as demonstrated in WECC with their Wide-Area Monitoring System (WAMS).
6 Recommendation 12a: The reliability regions, coordinated through the NERC Planning Committee, shall within one year define regional criteria for the application of synchronized recording devices in power plants and substations. Regions are requested to facilitate the installation of an appropriate number, type, and location of devices within the region as soon as practical to allow accurate recording of future system disturbances and to facilitate benchmarking of simulation studies by comparison to actual disturbances. Recommendation 12b: Facilities owners shall, in accordance with regional criteria, upgrade existing dynamic recorders to include GPS time synchronization and, as necessary, install additional dynamic recorders.
7 Tenets of Smart Grid Operation (Department of Energy) Self-healing from power disturbance events Enabling active participation by consumers in demand response Operating resiliently against physical and cyber attacks Providing power quality for 21st century needs Accommodating all generation and storage options Enabling new products, services, and markets Optimizing assets and operating efficiently
8 Role of State Estimation Facilitating Smart Grid Operation Self-healing from power disturbance events Faster (scan rate) state estimation, wide-area observability, multi-level monitoring capability Enabling active participation by consumers in demand response Monitoring at lower voltage levels Operating resiliently against physical and cyber attack Redundancy and strategic placement of measuring devices/sensors Detection, identification and elimination of errors in data and models Providing power quality for 21st century needs Accommodating all generation and storage options Enabling new products, services, and markets Wide-area monitoring to facilitate the feedback to address congestion, avoid spilling renewable energy, active market participation Optimizing assets and operating efficiently Monitoring dynamic line loading, equipment operating limits
9 State Estimation Analog Measurements P i, Q i, P f, Q f, V, I, θ k, δ ki Topology Processor State Estimator (WLS) V, θ Bad Data Processor Load Forecasts Generation Schedules Network Observability Analysis Pseudo Measurements [ injections: P i, Q i ] Circuit Breaker Status Assumed or Monitored
10 Measurement Model Given a set of measurements, [z] and the correct network topology/parameters: [z] = [h ([x]) ] + [e] Measurements System State Errors
11 Network Observability [z] = [h ([x]) ] + [e] Given [z], can [x] be estimated? Which branch flows can be estimated? Unobservable branches separate observable islands. How to merge observable islands? Optimal measurement placement. Role of pseudo measurements.
12 Observable Islands ISLAND 1 ISLAND 2 ISLAND 3
13 Loss of Observability due to Line Switching CLOSED CB OBSERVABLE
14 Loss of Observability due to Line Switching OPEN CB UNOBSERVABLE BRANCHES IN RED
15 Robustness Against Topology Changes Base Case Observable Observable Base Case Observable Unobservable
16 Meter Placement Given a set of measurements z = h(x) + e Must be able to estimate x using z if any one measurement is missing, or any branch is disconnected Accomplish the above with least cost metering upgrade
17 Three stage solution Make the network minimally observable. Identify essential measurements Find a set of candidate measurements. To fix each contingency ( a branch outage or loss of a measurement). Determine the optimal selection. To provide secure state estimation under single contingencies.
18 Candidate Matrix [A] CANDIDATES Contingencies
19 Optimal Selection 0/1 Integer Programming minimize C T X Subject to A X b A ij X 1 0 i 1 0 b T =[ ] If meas. j is a candidate for contingency i otherwise If meas. i is selected otherwise C i c i 0 cost of installing meas. i if meas. i already exist
20 30-Bus System Example
21 PMU Measurements: Several channels measuring: Phase angles or magnitudes of bus voltages Phase angles or magnitudes of branch currents Use of synchronization signals from the global positioning satellite (GPS) systems Minimal time skew between measurements
22 Algorithm CONSIDERATIONS Could it be modified / improved? Measurement Design Where to place new PMUs? Impact Will the grid be better monitored?
23 State Estimation with PMUs State Estimation with PMUs Mathematical model Mathematical model r x h x h x h x h x h z z z z z I I V trad I I V trad ) ( ) ( ) ( ) ( ) ( ) Im( ) Re( ) Im( ) Re( r x h z to Subject Wr r x J Minimize T ) ( ) (
24 Impact on Problem Solution: Impact on Problem Solution: iterative Non Z R H R H X e X H Z Measurements Phasor Iterative Z R H R H X e X h Z Measurements Conventional T T ) ( ˆ ) ( ˆ ) (
25 Removal of Slack (Ref) Bus Eliminate the reference phase angle from the SE formulation. Bad data in conventional as well as PMU measurements can be detected and identified with sufficiently redundant measurement sets. PMU Meas. Other Meas. State Estimator & Bad Data Processor Estimated/Corrected PMU Meas. Estimated State
26 Merging Observable Islands PMU PMU PMU
27 3 Critical PMUs Error in PMU at Bus 12 Measurement p 7 8 p 8 q 2 V 1 q 3 Test A Normalized residual NO BAD DATA DETECTED
28 Adding 2 Current PMUs PMU Cur Cur PMU PMU
29 3 Voltage, 2 Current PMUs Measurement q q 6 12 Test B Normalized residual BAD PHASE ANGLE MEASUREMENT AT BUS 12 IS DETECTED
30 A Practical Advantage PMUs can be placed at any bus in the observable island. Pseudo-measurements can merge observable islands only if they are incident to the boundary buses.
31 PMUs with Multiple Channels: PMU with multiple channels will measure: V_phasor at the bus I_phasors for all incident branches I phasors PMU V phasor
32 Simple Illustration for Full Observability Only 3 PMUs make the entire system observable. Note that bus 7 is a zero injection bus.
33 PMUs with Two Channels: PMU with two channels will measure: V_phasor at the bus I_phasor along a single branch I phasor PMU V phasor
34 Simple Illustration of PMU Placement for Full Observability Only 7 PMUs make the entire system observable.
35 PMU Placement Problem Can be formulated and solved efficiently using Integer Programming even for very large systems. PMUs can also be placed to make one or more geographical zones or voltage levels observable. PMUs placement can take advantage of any existing zero injection buses.
36 Effects of considering zero injections Systems No. of zero injections Number of PMUs Ignoring zero Injections Using zero injections 14-bus bus bus
37 Impact of Channel Limits on PMU Placement How does the optimal placement change as a function of available number of channels? Assume that one channel corresponds to one positive sequence measurement. Number of neighbors of a bus usually has a small upper limit for typical power systems due to sparse interconnections.
38 bus bus Consider Zero Injections Ignore Zero Injections Channels Zero Injections System Simulation Results
39 bus bus Consider Zero Injections Ignore Zero Injections Channels Zero Injections System Simulation Results
40 How can PMUs help to improve Bad Data Detection? A measurement is said to be critical if the system becomes unobservable upon its removal. Bad data appearing in critical measurements can NOT be detected. Adding new measurements at strategic locations will transform them, allowing detection of bad data which would otherwise have been missed.
41 Illustrative Example Two Critical Measurements P NO Critical Measurements
42 Number of Critical Meas. Number of PMU needed 13 2 P P IEEE 57-bus system Critical Meas. Type 1 F F F F I-11 6 I-24 7 I-39 8 I-37 9 I I I I I-34
43 Number of Critical Meas. Number of PMU needed IEEE 118-bus system P P P P P P P P P P P P P
44 Impact on Covariance of the State (G -1 ) 10% 20%PMU PMU 30%PMU 40%PMU Only PMUs No PMU Power Injections 38 Power Flows Voltage magnitude PMU ( 1 v, 3 currents ) PMU Example- PMU 1PMU Measurement =1Voltage + 3 Currents --Measurement Measurement-- Power Injection Power Flow
45 Simulation Results for IEEE 30Bus-System:
46 Simulation Results for IEEE 30Bus-System:
47 Impact of PMUs on Parameter Error Identification When a network parameter is wrong: Can it be identified? How? Are there cases where errors in certain parameters can not be identified without synchronized phasor measurements?
48 Current Practice Augment the state vector with the suspected set of parameters Simultaneously estimate the states and parameters v x x x 1, 2,..., n p AUGMENTED STATE VECTOR
49 Multiple Solutions What happens when more than one set of parameters satisfies all measurements? Multiplicity of solutions for [p].
50 Illustration of Multiple Solutions Illustration of Multiple Solutions ),, ( ),, ( p p x J p p x J k l kl kl P x lm m l lm x P ' ' kl k l kl k l x x ' ' lm l m lm l m x x l m lm lm P x kl l k kl x P
51 Identifying Parameter Errors by Phasor Measurements TEST A: NO PMUs TEST B: WITH PMUs : Parameter Error : PMU
52 Simulation Results Test A Test B Meas /Par. R N / N Meas /Par. R N / N X X X X 9-14 X X X X 6-11 X X
53 Final Remarks SE performance have significant impact on all other application functions related to smart grid operation PMUs can improve SE performance in the following areas: Bad data detection Reduced variance of estimated state Merging observable islands Identifying network parameter errors
54 For further information: To download the software: pet.html
Optimal PMU Placement
Optimal PMU Placement S. A. Soman Department of Electrical Engineering Indian Institute of Technology Bombay Dec 2, 2011 PMU Numerical relays as PMU System Observability Control Center Architecture WAMS
More informationOPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION
OPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION Xu Bei, Yeo Jun Yoon and Ali Abur Teas A&M University College Station, Teas, U.S.A. abur@ee.tamu.edu Abstract This paper presents
More informationSTATE ESTIMATION IN DISTRIBUTION SYSTEMS
SAE ESIMAION IN DISRIBUION SYSEMS 2015 CIGRE Grid of the Future Symposium Chicago (IL), October 13, 2015 L. Garcia-Garcia, D. Apostolopoulou Laura.GarciaGarcia@ComEd.com Dimitra.Apostolopoulou@ComEd.com
More informationCÁTEDRA ENDESA DE LA UNIVERSIDAD DE SEVILLA
Detection of System Disturbances Using Sparsely Placed Phasor Measurements Ali Abur Department of Electrical and Computer Engineering Northeastern University, Boston abur@ece.neu.edu CÁTEDRA ENDESA DE
More informationFine Tuning Of State Estimator Using Phasor Values From Pmu s
National conference on Engineering Innovations and Solutions (NCEIS 2018) International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume
More informationMixed Integer Linear Programming and Nonlinear Programming for Optimal PMU Placement
Mied Integer Linear Programg and Nonlinear Programg for Optimal PMU Placement Anas Almunif Department of Electrical Engineering University of South Florida, Tampa, FL 33620, USA Majmaah University, Al
More informationOn the Use of PMUs in Power System State Estimation
On the Use of PMUs in Power System State Estimation Antonio Gómez-Expósito Ali Abur Patricia Rousseaux University of Seville Northeastern University University of Liège Seville, Spain Boston, USA Liège,
More informationPower System Security. S. Chakrabarti
Power System Security S. Chakrabarti Outline Introduction Major components of security assessment On-line security assessment Tools for contingency analysis DC power flow Linear sensitivity factors Line
More informationA NEW STATE TRANSITION MODEL FOR FORECASTING-AIDED STATE ESTIMATION FOR THE GRID OF THE FUTURE
A NEW STATE TRANSITION MODEL FOR FORECASTING-AIDED STATE ESTIMATION FOR THE GRID OF THE FUTURE MOHAMMAD HASSANZADEH Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State
More informationWeighted Least Squares Topology Error Detection And Identification
Weighted Least Squares Topology Error Detection And Identification A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Jason Glen Lindquist IN PARTIAL FULFILLMENT
More informationReliability of Bulk Power Systems (cont d)
Reliability of Bulk Power Systems (cont d) Important requirements of a reliable electric power service Voltage and frequency must be held within close tolerances Synchronous generators must be kept running
More informationSTUDY OF THE UTILIZATION AND BENEFITS OF PHASOR MEASUREMENT UNITS FOR LARGE SCALE POWER SYSTEM STATE ESTIMATION. A Thesis YEO JUN YOON
STUDY OF THE UTILIZATION AND BENEFITS OF PHASOR MEASUREMENT UNITS FOR LARGE SCALE POWER SYSTEM STATE ESTIMATION A Thesis by YEO JUN YOON Submitted to the Office of Graduate Studies of Texas A&M University
More informationModule 6 : Preventive, Emergency and Restorative Control. Lecture 27 : Normal and Alert State in a Power System. Objectives
Module 6 : Preventive, Emergency and Restorative Control Lecture 27 : Normal and Alert State in a Power System Objectives In this lecture you will learn the following Different states in a power system
More informationPMU-Based Power System Real-Time Stability Monitoring. Chen-Ching Liu Boeing Distinguished Professor Director, ESI Center
PMU-Based Power System Real-Time Stability Monitoring Chen-Ching Liu Boeing Distinguished Professor Director, ESI Center Dec. 2015 Real-Time Monitoring of System Dynamics EMS Real-Time Data Server Ethernet
More informationCascading Outages in Power Systems. Rui Yao
Cascading Outages in Power Systems Rui Yao yaorui.thu@gmail.com Outline Understanding cascading outages Characteristics of cascading outages Mitigation of cascading outages Understanding cascading outages
More informationFast Real-Time DC State Estimation in Electric Power Systems Using Belief Propagation
Fast Real-Time DC State Estimation in Electric Power Systems Using Belief Propagation Mirsad Cosovic, Student Member, IEEE, Dejan Vukobratovic, Member, IEEE arxiv:170501376v2 [csit] 11 Aug 2017 Abstract
More informationNew Formulations of the Optimal Power Flow Problem
New Formulations of the Optimal Power Flow Problem Prof. Daniel Kirschen The University of Manchester 2010 D. Kirschen and The University of Manchester 1 2010 D. Kirschen and The University of Manchester
More informationSmart Grid State Estimation by Weighted Least Square Estimation
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 8958, Volume-5, Issue-6, August 2016 Smart Grid State Estimation by Weighted Least Square Estimation Nithin V G, Libish T
More informationTHE knowledge of the network topology is fundamental
Topology Error Identification for Orthogonal Estimators Considering A Priori State Information Antonio Simões Costa Elizete Maria Lourenço Fábio Vieira Federal University of Santa Catarina Federal University
More informationCritical Measurement Set with PMU for Hybrid State Estimation
6th NATIONAL POWER SYSTEMS CONFERENCE, 5th-th DECEMBER, 200 25 Critical Measurement Set with for Hybrid State Estimation K.Jamuna and K.S.Swarup Department of Electrical Engineering Indian Institute of
More informationHIERARCHICAL STATE ESTIMATION FOR WIDE AREA POWER SYSTEMS
Clemson University TigerPrints All Theses Theses 12-2006 HIERARCHICAL STATE ESTIMATION FOR WIDE AREA POWER SYSTEMS Srivatsan Lakshminarasimhan Clemson University, slakshm@osii.com Follow this and additional
More informationMEASUREMENT CALIBRATION/TUNING & TOPOLOGY PROCESSING IN POWER SYSTEM STATE ESTIMATION. A Dissertation SHAN ZHONG
MEASUREMENT CALIBRATION/TUNING & TOPOLOGY PROCESSING IN POWER SYSTEM STATE ESTIMATION A Dissertation by SHAN ZHONG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment
More informationCyber Attacks, Detection and Protection in Smart Grid State Estimation
1 Cyber Attacks, Detection and Protection in Smart Grid State Estimation Yi Zhou, Student Member, IEEE Zhixin Miao, Senior Member, IEEE Abstract This paper reviews the types of cyber attacks in state estimation
More informationGeneralized Injection Shift Factors and Application to Estimation of Power Flow Transients
Generalized Injection Shift Factors and Application to Estimation of Power Flow Transients Yu Christine Chen, Alejandro D. Domínguez-García, and Peter W. Sauer Department of Electrical and Computer Engineering
More informationUNITED STATES OF AMERICA BEFORE THE FEDERAL ENERGY REGULATORY COMMISSION. Interconnection for Wind Energy ) Docket No. RM
UNITED STATES OF AMERICA BEFORE THE FEDERAL ENERGY REGULATORY COMMISSION Interconnection for Wind Energy ) Docket No. RM05-4-000 REQUEST FOR REHEARING OF THE NORTH AMERICAN ELECTRIC RELIABILITY COUNCIL
More informationOn-Line TSA and Control at EMS Control Centers for Large Power Grids
On-Line TSA and Control at EMS Control Centers for Large Power Grids Dr. Hsiao-Dong Chiang (i) Prof. of School of Electrical and Computer Engineering, Cornell University, Ithaca, NY (ii) President of BSI,
More informationPower System Parameter Estimation for Enhanced Grid Stability Assessment in Systems with Renewable Energy Sources
Power System Parameter Estimation for Enhanced Grid Stability Assessment in Systems with Renewable Energy Sources Andreas J. Schmitt Dissertation submitted to the Faculty of the Virginia Polytechnic Institute
More informationIdentifying Critical Measurements in the Power System Network
Identifying Critical Measurements in the Power System Network 1 Kenedy Aliila Greyson and 2 Anant Oonsivilai School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology
More informationAnalytical Study Based Optimal Placement of Energy Storage Devices in Distribution Systems to Support Voltage and Angle Stability
University of Wisconsin Milwaukee UWM Digital Commons Theses and Dissertations June 2017 Analytical Study Based Optimal Placement of Energy Storage Devices in Distribution Systems to Support Voltage and
More informationFalse Data Injection Attacks Against Nonlinear State Estimation in Smart Power Grids
1 False Data Injection Attacks Against Nonlinear State Estimation in Smart Power rids Md. Ashfaqur Rahman and Hamed Mohsenian-Rad Department of Electrical and Computer Engineering, Texas Tech University,
More informationSINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION
Vol.2, Issue.1, Jan-Feb 2012 pp-424-430 ISSN: 2249-6645 SINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION V.Sumadeepthi 1, K.Sarada 2 1 (Student, Department of Electrical and Electronics Engineering,
More informationPMU-Based Distributed State Estimation with the SuperCalibrator PSERC Seminar June 17, 2008
PMU-Based Distributed State Estimation with the SuperCalibrator Seminar June 17 2008 A. P. Sais Meliopoulos Georgia Power Distinguished Professor School of Electrical and Computer Engineering Georgia Institute
More informationCongestion Alleviation using Reactive Power Compensation in Radial Distribution Systems
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 6 Ver. III (Nov. Dec. 2016), PP 39-45 www.iosrjournals.org Congestion Alleviation
More informationResearch on the Effect of Substation Main Wiring on the Power System Reliability Yuxin Zhao 1, a, Tao Liu 2,b and Yanxin Shi 3,c
International Power, Electronics and aterials Engineering Conference (IPEEC 2015) esearch on the Effect of ubstation ain Wiring on the Power ystem eliability Yuxin Zhao 1, a, Tao Liu 2,b and Yanxin hi
More informationTHE electric power system is a complex cyber-physical
Implication of Unobservable State-and-topology Cyber-physical Attacks Jiazi Zhang, Student Member, IEEE, Lalitha Sankar, Senior Member, IEEE arxiv:509.00520v [cs.sy] Sep 205 Abstract This paper studies
More informationChapter 2. Planning Criteria. Turaj Amraee. Fall 2012 K.N.Toosi University of Technology
Chapter 2 Planning Criteria By Turaj Amraee Fall 2012 K.N.Toosi University of Technology Outline 1- Introduction 2- System Adequacy and Security 3- Planning Purposes 4- Planning Standards 5- Reliability
More informationEnterprise GIS to Support ADMS ESRI GeoConx EGUG 2016 Parag Parikh
October 20, 2016 ESRI GeoConX Enterprise GIS to Support ADMS ESRI GeoConx EGUG 2016 Parag Parikh Parag.Parikh@us.abb.com Slide 1 WE Energies Overview Total accounts: 2,240,640 Electric accounts: 1,148,805
More informationPower Grid State Estimation after a Cyber-Physical Attack under the AC Power Flow Model
Power Grid State Estimation after a Cyber-Physical Attack under the AC Power Flow Model Saleh Soltan, Gil Zussman Department of Electrical Engineering Columbia University, New York, NY Email: {saleh,gil}@ee.columbia.edu
More informationAdvanced load modelling techniques for state estimation on distribution networks with multiple distributed generators
Advanced load modelling techniques for state estimation on distribution networks with multiple distributed generators Weicong Kong, David Wang, Colin Foote, Graham Ault, Andrea Michiorri, Robert Currie
More informationImpacts of Bad Data and Cyber Attacks on Electricity Market Operations
Impacts of Bad Data and Cyber Attacks on Electricity Market Operations Final Project Report Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System Impacts
More informationApplications of GIS in Electrical Power System. Dr. Baqer AL-Ramadan Abdulrahman Al-Sakkaf
Applications of GIS in Electrical Power System Dr. Baqer AL-Ramadan Abdulrahman Al-Sakkaf OUTLINES: Objective Importance of GIS GIS data development Application of GIS Findings Conclusions and Recommendations
More informationQuantifying Cyber Security for Networked Control Systems
Quantifying Cyber Security for Networked Control Systems Henrik Sandberg ACCESS Linnaeus Centre, KTH Royal Institute of Technology Joint work with: André Teixeira, György Dán, Karl H. Johansson (KTH) Kin
More informationOptimal Placement & sizing of Distributed Generator (DG)
Chapter - 5 Optimal Placement & sizing of Distributed Generator (DG) - A Single Objective Approach CHAPTER - 5 Distributed Generation (DG) for Power Loss Minimization 5. Introduction Distributed generators
More informationProper Security Criteria Determination in a Power System with High Penetration of Renewable Resources
Proper Security Criteria Determination in a Power System with High Penetration of Renewable Resources Mojgan Hedayati, Kory Hedman, and Junshan Zhang School of Electrical, Computer, and Energy Engineering
More informationControl Strategies for Microgrids
Control Strategies for Microgrids Ali Mehrizi-Sani Assistant Professor School of Electrical Engineering and Computer Science Washington State University Graz University of Technology Thursday, November
More informationA Framework for Multi-Level Reliability Evaluation of Electrical Energy Systems
A Framework for Multi-Level Reliability Evaluation of Electrical Energy Systems Alejandro D. Domínguez-García and Philip T. Krein Grainger Center for Electric Machinery and Electromechanics Department
More informationMinimum Sparsity of Unobservable. Power Network Attacks
Minimum Sparsity of Unobservable 1 Power Network Attacks Yue Zhao, Andrea Goldsmith, H. Vincent Poor Abstract Physical security of power networks under power injection attacks that alter generation and
More informationEE5250 TERM PROJECT. Report by: Akarsh Sheilendranath
EE5250 TERM PROJECT Analytical Approaches for Optimal Placement of Distributed Generation Sources in Power System Caisheng Wang, student member, IEEE, and M. Hashem Nehrir, senior member, IEEE Report by:
More informationIdentification of False Data Injection Attacks with Considering the Impact of Wind Generation and Topology Reconfigurations
1 Identification of False Data ion Attacks with Considering the Impact of Wind Generation and Topology Reconfigurations Mostafa Mohammadpourfard, Student Member, IEEE, Ashkan Sami, Member, IEEE, and Yang
More informationReal Time Phasor Data Processing using Complex Number Analysis Methods R.A. DE CALLAFON 1, C.H. WELLS 2 USA
21, rue d Artois, F-75008 PARIS CIGRE US National Committee http : //www.cigre.org 2015 Grid of the Future Symposium Real Time Phasor Data Processing using Complex Number Analysis Methods R.A. DE CALLAFON
More informationPowerApps Optimal Power Flow Formulation
PowerApps Optimal Power Flow Formulation Page1 Table of Contents 1 OPF Problem Statement... 3 1.1 Vector u... 3 1.1.1 Costs Associated with Vector [u] for Economic Dispatch... 4 1.1.2 Costs Associated
More informationGENERATOR INTERCONNECTION APPLICATION
GENERATOR INTERCONNECTION APPLICATION FOR BUY-ALL/SELL-ALL PROJECTS WITH AGGREGATE GENERATOR OUTPUT OF MORE THAN 20 KW BUT LESS THAN OR EQUAL TO 1 MW Electric Utility Contact Information Great Lakes Energy
More informationState Estimation and Power Flow Analysis of Power Systems
JOURNAL OF COMPUTERS, VOL. 7, NO. 3, MARCH 01 685 State Estimation and Power Flow Analysis of Power Systems Jiaxiong Chen University of Kentucky, Lexington, Kentucky 40508 U.S.A. Email: jch@g.uky.edu Yuan
More informationPower System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation
PSERC Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation Final Project Report Power Systems Engineering Research Center A National Science Foundation
More informationSection 5. TADS Data Reporting Instruction Manual DRAFT Section 5 and Associated Appendices With Proposed Event Type Numbers
Section 5 TADS Data Reporting Instruction Manual DRAFT Section 5 and Associated Appendices With Proposed Event Type Numbers Rev. 5/10/2010 1 Section 5 Form for Event ID and Event Type Number Data TO s
More informationSeminar Course 392N Spring2011. ee392n - Spring 2011 Stanford University. Intelligent Energy Systems 1
Seminar Course 392N Spring211 Lecture 3 Intelligent Energy Systems: Control and Monitoring Basics Dimitry Gorinevsky Intelligent Energy Systems 1 Traditional Grid Worlds Largest Machine! 33 utilities 15,
More informationEnhancement of State Estimation Results using Phasor Measurements. Presented to: NASPI Work Group Meeting March 6-7, 2008, New Orleans, LA
Enhancement of State Estimation Results using Phasor Measurements Presented to: NASPI Work Group Meeting March 6-7, 2008, New Orleans, LA by Lu Kondragunta San Diego Gas & Electric 2008 San Diego Gas &
More informationModern Power Systems Analysis
Modern Power Systems Analysis Xi-Fan Wang l Yonghua Song l Malcolm Irving Modern Power Systems Analysis 123 Xi-Fan Wang Xi an Jiaotong University Xi an People s Republic of China Yonghua Song The University
More informationBulk Power System Reliability Assessment Considering Protection System Hidden Failures
2007 irep Symposium- Bulk Power System Dynamics and Control - V, Revitalizing Operational Reliability August 19-24, 2007, Charleston, SC, USA Bulk Power System Reliability Assessment Considering Protection
More informationURTDSM Initiative in India and Controlled Islanding using PMU Measurements
URTDSM Initiative in India and Controlled Islanding using PMU Measurements Akhil Raj Gopal Gajjar Meenal Chougule Narayanan Rajagopal Prashant Navalkar Rajeev Gajbhiye S. A. Soman PowerAnser Labs, IIT
More informationFebruary Industry Communique
February 2019 Industry Communique Important notice PURPOSE This communique is to inform on the planned outages required in the North-West Victorian and South-West New South Wales transmission network and
More informationIntroduction to State Estimation of Power Systems ECG 740
Introduction to State Estimation of Power Systems ECG 740 Introduction To help avoid major system failures, electric utilities have installed extensive supervisory control and data acquisition (SCADA)
More informationWIDE AREA CONTROL THROUGH AGGREGATION OF POWER SYSTEMS
WIDE AREA CONTROL THROUGH AGGREGATION OF POWER SYSTEMS Arash Vahidnia B.Sc, M.Sc in Electrical Engineering A Thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy
More informationDetermination of the Minimum-Variance Unbiased Estimator for DC Power-Flow Estimation
Determination of the Minimum-Variance Unbiased Estimator for DC Power-Flow Estimation Mohammadhadi Amini, Arif I. Sarwat, S. S. Iyengar, Ismail Guvenc Department of Electrical and Computer Engineering,
More informationECEN 667 Power System Stability Lecture 20: Oscillations, Small Signal Stability Analysis
ECEN 667 Power System Stability Lecture 20: Oscillations, Small Signal Stability Analysis Prof. Tom Overbye Dept. of Electrical and Computer Engineering Texas A&M University, overbye@tamu.edu 1 Announcements
More informationArchitectures and Algorithms for Distributed Generation Control of Inertia-Less AC Microgrids
Architectures and Algorithms for Distributed Generation Control of Inertia-Less AC Microgrids Alejandro D. Domínguez-García Coordinated Science Laboratory Department of Electrical and Computer Engineering
More informationRenewables and the Smart Grid. Trip Doggett President & CEO Electric Reliability Council of Texas
Renewables and the Smart Grid Trip Doggett President & CEO Electric Reliability Council of Texas North American Interconnected Grids The ERCOT Region is one of 3 North American grid interconnections. The
More informationTHE future smart grid, which leverages advanced information. CCPA: Coordinated Cyber-Physical Attacks and Countermeasures in Smart Grid
CCPA: Coordinated Cyber-Physical Attacks and Countermeasures in Smart Grid Ruilong Deng, Member, IEEE, Peng Zhuang, and Hao Liang, Member, IEEE Abstract Smart grid, as one of the most critical infrastructures,
More informationAS conceived during the 1970 s [1], [2], [3], [4] State
A Framework for Estimation of Power Systems Based on Synchronized Phasor Measurement Data Luigi Vanfretti, Student Member, IEEE, Joe H. Chow, Fellow, IEEE, Sanjoy Sarawgi, Member, IEEE, Dean Ellis and
More informationRobustness Analysis of Power Grid under False Data Attacks Against AC State Estimation
Robustness Analysis of Power Grid under False Data Attacks Against AC State Estimation Presenter: Ming Jin INFORMS 2017 Ming Jin, Prof Javad Lavaei, and Prof Karl Johansson 1 Power system resilience against
More informationECE 476. Exam #2. Tuesday, November 15, Minutes
Name: Answers ECE 476 Exam #2 Tuesday, November 15, 2016 75 Minutes Closed book, closed notes One new note sheet allowed, one old note sheet allowed 1. / 20 2. / 20 3. / 20 4. / 20 5. / 20 Total / 100
More informationA Novel Technique to Improve the Online Calculation Performance of Nonlinear Problems in DC Power Systems
electronics Article A Novel Technique to Improve the Online Calculation Performance of Nonlinear Problems in DC Power Systems Qingshan Xu 1, Yuqi Wang 1, * ID, Minjian Cao 1 and Jiaqi Zheng 2 1 School
More informationAdaptive under frequency load shedding using synchrophasor measurement
Adaptive under load shedding using synchrophasor measurement Abstract - The imbalance between the generation and the demand is the major factor that causes instability in a power system. Conventional Under
More informationBig Data Paradigm for Risk- Based Predictive Asset and Outage Management
Big Data Paradigm for Risk- Based Predictive Asset and Outage Management M. Kezunovic Life Fellow, IEEE Regents Professor Director, Smart Grid Center Texas A&M University Outline Problems to Solve and
More informationOnline Dynamic Security Assessment Using Phasor Measurement Unit and. Forecasted Load. Qiushi Wang
Online Dynamic Security Assessment Using Phasor Measurement Unit and Forecasted Load by Qiushi Wang A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved
More informationCritical Points and Transitions in an Electric Power Transmission Model for Cascading Failure Blackouts
The submitted manuscript has been authored by a contractor of the U.S. Government under Contract No. DE-AC05-00OR22725. Accordingly, the U.S. Government retains a nonexclusive royalty-free license to publish
More informationMinimization of Energy Loss using Integrated Evolutionary Approaches
Minimization of Energy Loss using Integrated Evolutionary Approaches Attia A. El-Fergany, Member, IEEE, Mahdi El-Arini, Senior Member, IEEE Paper Number: 1569614661 Presentation's Outline Aim of this work,
More informationSimulating a Power System
Simulating a Power System Presented by Prof. Tyrone Fernando School of Electrical and Electronic Engineering (EECE), University of Western Australia (UWA) 1. Motivations In an actual power system, it is
More informationURD Cable Fault Prediction Model
1 URD Cable Fault Prediction Model Christopher Gubala ComEd General Engineer Reliability Analysis 2014 IEEE PES General Meeting Utility Current Practices & Challenges of Predictive Distribution Reliability
More informationKeeping medium-voltage grid operation within secure limits
Chaire académique ORES «Smart Grids Smart Metering» Journée d études, Fac. Polytech. UMons, 20 nov. 2014 Keeping medium-voltage grid operation within secure limits Thierry Van Cutsem Hamid Soleimani Bidgoli
More informationBlackouts in electric power transmission systems
University of Sunderland From the SelectedWorks of John P. Karamitsos 27 Blackouts in electric power transmission systems Ioannis Karamitsos Konstadinos Orfanidis Available at: https://works.bepress.com/john_karamitsos/9/
More informationPerformance of Flocking-Based Control Schemes in Smart Grid Applications
Performance of Flocking-Based Control Schemes in Smart Grid Applications Abdallah K. Farraj Eman M. Hammad Jin Wei Deepa Kundur Karen L. Butler-Purry Department of Electrical and Computer Engineering,
More informationOptimal PMU Placement for Power System State Estimation with Random Communication Packet Losses
2011 9th IEEE International Conference on Control and Automation (ICCA) Santiago, Chile, December 19-21, 2011 TueB1.1 Optimal PMU Placement for Power System State Estimation with Random Communication Packet
More informationA Generalized Admittance Based Method for Fault Location Analysis of Distribution System
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com A Generalized Admittance Based Method for Fault Location Analysis of Distribution System Tan, Z.; Sun, H.; Nikovski, D.N.; Tomihiro, T.; Kojima,
More informationA possible notion of short-term value-based reliability
Energy Laboratory MIT EL 1-13 WP Massachusetts Institute of Technology A possible notion of short-term value-based reliability August 21 A possible notion of short-term value-based reliability Yong TYoon,
More informationTOWARDS RESILIENT SMART GRIDS: ROBUST CONTROL FRAMEWORK DESIGN TO ENHANCE TRANSIENT STABILITY
TOWARDS RESILIENT SMART GRIDS: ROBUST CONTROL FRAMEWORK DESIGN TO ENHANCE TRANSIENT STABILITY By MUHARREM AYAR A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT
More informationReal Time Control of Electrical Distribution Grids
ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE Real Time Control of Electrical Distribution Grids Jean Yves Le Boudec 1,2 EPFL Simons Institute / Societal Networks Mar. 26 Mar. 29, 2018 1 https://people.epfl.ch/105633/research
More informationGrid Issues and Challenges Addressed by High Temperature Superconductor (HTS) Technology
CIGRÉ US National Committee 21, rue d Artois, F-75008 PARIS Grid of the Future Symposium http : //www.cigre.org Kansas City, October 28-30, 2012 Grid Issues and Challenges Addressed by High Temperature
More informationEffects of Capacitor Bank Installation in a Medium Voltage (MV) Substation
Effects of Capacitor Bank Installation in a Medium Voltage (MV) Substation Adesina, Lambe Mutalub Department of Engineering & Standardization, Eko Electricity Distribution Plc, 24/25, Marina, Lagos Island,
More informationDIMACS, Rutgers U January 21, 2013 Michael Caramanis
Power Market Participation of Flexible Loads and Reactive Power Providers: Real Power, Reactive Power, and Regulation Reserve Capacity Pricing at T&D Networks DIMACS, Rutgers U January 21, 2013 Michael
More informationSensitivity-Based Line Outage Angle Factors
Sensitivity-Based Line Outage Angle Factors Kai E. Van Horn, Alejandro D. Domínguez-García, and Peter W. Sauer Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign
More informationA Study on Wide-area Measurement-based Approaches for Power System Voltage Stability
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 12-2016 A Study on Wide-area Measurement-based Approaches for Power System Voltage
More informationPower Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications
Power Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications Andrey Bernstein 1, Daniel Bienstock 2, David Hay 3, Meric Uzunoglu 4, Gil Zussman 5 1 Computer and Communication
More informationStochastic Unit Commitment with Topology Control Recourse for Renewables Integration
1 Stochastic Unit Commitment with Topology Control Recourse for Renewables Integration Jiaying Shi and Shmuel Oren University of California, Berkeley IPAM, January 2016 33% RPS - Cumulative expected VERs
More informationDetecting Data Tampering in Synchrophasors using Power Flow Entropy
Detecting Data Tampering in Synchrophasors using Power Flow Entropy Anum Rashid, Muhammad Naveed Aman, Mukhtar Ullah, and Biplab Sikdar Department of Electrical Engineering National University of Computer
More informationExtended Optimal PMU Placement Problem for Voltage Stability Assessment
Extended Optimal PMU Placement Problem for oltage Stability Assessment A.C. ADEWOLE, R. ZONEA Centre for Substation Automation and Energy Management Systems (CSAEMS) Cape Peninsula University of echnology
More informationHPC and High-end Data Science
HPC and High-end Data Science for the Power Grid Alex Pothen August 3, 2018 Outline High-end Data Science 1 3 Data Anonymization Contingency Analysis 2 4 Parallel Oscillation Monitoring 2 / 22 PMUs in
More information, and ignoring all load currents, determine
ECE43 Test 3 Dec 8, 5 Q. (33 pts.) The Zbus for the above 3-bus network with bus as reference, in per unit, is given to be 3.87 j.798 j.8 j Z.798 j.87 j.8 j bus.8 j.8 j j Assuming that the prefault values
More informationMEASUREMENTS that are telemetered to the control
2006 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 19, NO. 4, NOVEMBER 2004 Auto Tuning of Measurement Weights in WLS State Estimation Shan Zhong, Student Member, IEEE, and Ali Abur, Fellow, IEEE Abstract This
More informationA Scenario-based Transmission Network Expansion Planning in Electricity Markets
A -based Transmission Network Expansion ning in Electricity Markets Pranjal Pragya Verma Department of Electrical Engineering Indian Institute of Technology Madras Email: ee14d405@ee.iitm.ac.in K.S.Swarup
More information