PMU Measurements and EMS Models based Transient Stability On-line Forecasting

被引：0

作者：

Liu, Mingsong ^{[1
]}

Sun, Hongbin ^{[1
]}

Zhang, Boming ^{[1
]}

Yao, Liangzhong ^{[2
]}

Han, Min ^{[3
]}

Wu, Wenchuan ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China

[2] AREVA T&D Technol Ctr, Stafford, England

[3] AREVA T&D Automat, Shanghai, Peoples R China

来源：

2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8 | 2009年

关键词：

Phasor Measurement Unit (PMU); Energy Management System (EMS); Transient Stability; On-line Forecasting;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A transient stability on-line forecasting algorithm, based on PMU measurements and EMS models, is proposed in this paper. This algorithm makes full use of both fast speed of PMU measurements and detailed models of EMS, which could deal with the situations with single fault or cascading faults. Several main factors that affect the accuracy of the forecasting algorithm are studied, and a binary search method is presented to decrease the errors caused by different sampling types. The proposed algorithm is tested on IEEE 39-Bus system. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.

引用

页码：4974 / 4981

页数：8

共 24 条

[1] Causes of the 2003 major grid blackouts in north America and Europe, and recommended means to improve System Dynamic Performance
Andersson, G
Donalek, P
Farmer, R
Hatziargyriou, N
Kamwa, I
Kundur, P
Martins, N
Paserba, J
Pourbeik, P
Sanchez-Gasca, J
Schulz, R
Stankovic, A
Taylor, C
Vittal, V
[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) : 1922 - 1928
[2] [Anonymous], 2006, IEEE StandardC37.118-2005
[3] [马进 MA Jin], 2007, [电力系统自动化, Automation of Electric Power Systems], V31, P11
[4] Gomes P, 2004, 2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2, P1703
[5] GUO Q, 1996, P CSU EPSA
[6] Wide area system monitoring and control
Karlsson, Daniel
Hemmingsson, Morten
Lindahl, Sture
[J]. IEEE Power and Energy Magazine, 2004, 2 (05): : 68 - 76
[7] Li CY, 2007, 2007 CONFERENCE PROCEEDINGS IPEC, VOLS 1-3, P807
[8] SOFM based support vector regression model for prediction and its application in power system transient stability forecasting
Li, D. H.
Cao, Y. J.
[J]. IPEC: 2005 INTERNATIONAL POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2005, : 765 - 770
[9] New methods for computing power system dynamic response for real-time transient stability prediction
Liu, CW
Thorp, JS
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2000, 47 (03) : 324 - 337
[10] Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements
Liu, CW
Su, MC
Tsay, SS
Wang, JY
[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (02) : 685 - 692

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