Multi-Objective Optimal SVC Installation for Power System Loading Margin Improvement

被引:70
作者
Chang, Ya-Chin [1 ]
机构
[1] Cheng Shiu Univ, Dept Elect Engn, Kaohsiung 833, Taiwan
关键词
Continuation power flow; loading margin; modal analysis; Pareto front; risk index; static voltage stability; FACTS DEVICES; STABILITY;
D O I
10.1109/TPWRS.2011.2176517
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Proper installation of flexible ac transmission systems (FACTS) in existing transmission networks can improve transmission system loading margin (LM) to a certain degree and reduce network expansion cost. In the paper, under each contingency with high risk index (RI) value, the modal analysis (MA) technique is used to determine which buses need static var compensator (SVC) installation, and with maximum LM and minimum SVC installation cost composed into the multi-objective function the optimal LM enhancement problem is formulated as a multi-objective optimization problem (MOP) and solved by using the fitness sharing multi-objective particle swarm optimization (MOPSO) algorithm for a Pareto front set. In the Pareto front set for each considered contingency, the solution with the biggest performance index value is determined for SVC installation. Finally, an SVC installation scheme derived from the union of the SVC installations for all considered contingencies is recommended for LM enhancement. The proposed method is validated on the IEEE 24-bus reliability test system (RTS) and a practical power system.
引用
收藏
页码:984 / 992
页数:9
相关论文
共 28 条
[1]
Optimal location of the unified power flow controller in electrical power systems [J].
Abdelsalam, HA ;
Aly, GEM ;
Abdelkrim, M ;
Shebl, KM .
2004 LARGE ENGINEERING SYSTEMS CONFERENCE ON POWER ENGINEERING, CONFERENCE PROCEEDINGS: ENERGY FOR THE DAY AFTER TOMORROW, 2004, :41-46
[2]
[Anonymous], 2007, P 2007 IEEE POW ENG
[3]
Athamneh A. A., 2006, P IEEE PES GEN M JUN
[4]
Azadani EN, 2008, 2008 12TH INTERNATIONAL MIDDLE EAST POWER SYSTEM CONFERENCE, VOLS 1 AND 2, P525
[5]
Baghace HR, 2008, PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL I, P209
[6]
Bhasaputra P, 2002, IEEE ICIT' 02: 2002 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS I AND II, PROCEEDINGS, P285, DOI 10.1109/ICIT.2002.1189908
[7]
Cai L. J., P 2004 IEEE PES POW, P201
[8]
Chen A. X., P 7 INT POW ENG C IP, V2, P1019
[9]
Chung T. S., 2001, IEEE Power Engineering Review, V21, P47, DOI 10.1109/39.896822
[10]
Handling multiple objectives with particle swarm optimization [J].
Coello, CAC ;
Pulido, GT ;
Lechuga, MS .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (03) :256-279