Maximum loadability limit of a power system using multiagent-based hybrid particle swarm optimization

被引:7
作者
Shunmugalatha, A. [1 ]
Slochanal, S. Mary Raja [1 ]
机构
[1] KLN Coll Engn, Dept Elect & Elect Engn, Pottapalayam 630611, Tamil Nadu, India
关键词
voltage stability; maximum loadability limit; particle swarm optimization; genetic algorithm; multiagent system;
D O I
10.1080/15325000701801579
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
Estimating the maximum loadability limit of power systems is one of the approaches to voltage stability. The maximum loadability limit is the margin between the operating point of the system and the maximum loading point that can be formulated as an optimization problem. This article utilizes the newly developed multiagent-based hybrid particle swarm optimization method for solving this problem. Details of the implementation of the proposed method to two test systems (IEEE 30-bus and IEEE 118-bus) are presented. Simulation results show that the proposed approach converges to a better solution much faster, which proves the loadability and applicability of the proposed method.
引用
收藏
页码:575 / 586
页数:12
相关论文
共 11 条
[1]   THE CONTINUATION POWER FLOW - A TOOL FOR STEADY-STATE VOLTAGE STABILITY ANALYSIS [J].
AJJARAPU, V ;
CHRISTY, C .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1992, 7 (01) :416-423
[2]   Maximum loadability of power systems using hybrid particle swarm optimization [J].
El-Dib, AA ;
Youssef, HKM ;
El-Metwally, MM ;
Osman, Z .
ELECTRIC POWER SYSTEMS RESEARCH, 2006, 76 (6-7) :485-492
[3]   Maximum loadability of power systems using interior point non-linear optimization methods [J].
Irisarri, GD ;
Wang, X ;
Tong, J ;
Mokhtari, S .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (01) :162-169
[4]  
KARYSTINOS ME, 2005, 15 POW SYST COMP C A, P1
[5]  
SATO H, 2002, IEEE T POWER SYST, V4, P1707
[6]  
SETTLES M, 2005, GEN EV COMP C 05 WAS
[7]  
VLACHOGIANNIS JG, 2005, INTELLIGENT SYSTEM A, P494
[8]  
WOOLDRIDGE M, 2001, MULTIAGENT SYSTEM MO
[9]   A multiagent-based particle swarm optimization approach for optimal reactive power dispatch [J].
Zhao, B ;
Guo, CX ;
Cao, YJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :1070-1078
[10]   A multiagent genetic algorithm for global numerical optimization [J].
Zhong, WC ;
Liu, J ;
Xue, MZ ;
Jiao, LC .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (02) :1128-1141