Wide Area Inter-Area Oscillation Monitoring Using Fast Nonlinear Estimation Algorithm

被引：33

作者：

Cai, Deyu ^{[1
]}

Regulski, P. ^{[2
]}

Osborne, M. ^{[3
]}

Terzija, V. ^{[2
]}

机构：

[1] Shanghai Elect Power Corp Ltd, Shanghai 600021, Peoples R China

[2] Univ Manchester, Manchester M13 9PL, Lancs, England

[3] Natl Grid Ltd, Warwick CV34 6DA, England

来源：

IEEE TRANSACTIONS ON SMART GRID | 2013年 / 4卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

Inter-area oscillations; Newton type algorithm; nonlinear parameter estimation; wide area monitoring systems; FREQUENCY ESTIMATION; ONLINE ESTIMATION; PRONY ANALYSIS; POWER; MODE; PHASOR;

D O I：

10.1109/TSG.2013.2257890

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the results of the development of Smart Grid transmission network applications in the Great Britain (GB) power system. A new Wide Area Monitoring System (WAMS) application for monitoring inter-area oscillations is developed. The core of this novel application is a fast nonlinear algorithm for the real-time estimation of the dominant inter-area oscillation mode, which processes GPS synchronized information obtained from Phasor Measurement Units (PMUs) installed in the power system. It is based on the Newton-Type Algorithm (NTA), an efficient parameter estimator. The paper focuses on the practical application of the new WAMS application: two data sets were tested, one based on computer simulations and the other based on real-life data records. The computer simulated oscillatory signals were obtained through dynamic simulations of the full GB power system model consisting of over 200 generators. The real-life data records used information collected by the FlexNet Wide Area Monitoring System (FlexNET-WAMS) installed in the GB network. Based on these data records, the features of inter-area oscillations in the GB network are drawn.

引用

页码：1721 / 1731

页数：11

共 28 条

[1]

[Anonymous], P 2011 IEEE POW EN S

[2] Measurements Get Together [J].

Chakrabarti, Saikat ;

Kyriakides, Elias ;

Bi, Tianshu ;

Cai, Deyu ;

Terzija, Vladimir .

IEEE POWER & ENERGY MAGAZINE, 2009, 7 (01) :41-49

[3] Two-Step Spectral Clustering Controlled Islanding Algorithm [J].

Ding, Lei ;

Gonzalez-Longatt, Francisco M. ;

Wall, Peter ;

Terzija, Vladimir .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) :75-84

[4] APPLICATION OF PRONY ANALYSIS TO THE DETERMINATION OF MODAL CONTENT AND EQUIVALENT MODELS FOR MEASURED POWER-SYSTEM RESPONSE [J].

HAUER, JF .

IEEE TRANSACTIONS ON POWER SYSTEMS, 1991, 6 (03) :1062-1068

[5] INITIAL RESULTS IN PRONY ANALYSIS OF POWER-SYSTEM RESPONSE SIGNALS [J].

HAUER, JF ;

DEMEURE, CJ ;

SCHARF, LL .

IEEE TRANSACTIONS ON POWER SYSTEMS, 1990, 5 (01) :80-89

[6] Monitoring of interarea oscillation mode by synchronized phasor measurement [J].

Kakimoto, N ;

Sugumi, M ;

Makino, T ;

Tomiyama, K .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (01) :260-268

[7] Real-time monitoring of electromechanical oscillations in power systems: first findings [J].

Korba, P. .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2007, 1 (01) :80-88

[8]

Korba P., 2009, IET GENER TRANSM DIS, V4, P1116

[9]

Kumaresan R., 1980, P IEEE, V72

[10]

Kundur P., 1993, Power System Stability And Control

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