Cuckoo Search Algorithm based Optimal Reactive Power Dispatch

被引:0
作者
Biswas , Syamasree [1 ]
Som, Trina [1 ]
Mandal, Kamal Krishna [1 ]
Chakraborty, Niladri [1 ]
机构
[1] Jadavpur Univ, Dept Power Engn, Kolkata 700098, WB, India
来源
2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC) | 2014年
关键词
Optimal reactive power dispatch; Stable voltage profile; Real power loss minimization; Cuckoo search algorithm; DIFFERENTIAL EVOLUTION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Optimal reactive power dispatch (ORPD) is real power loss minimization aspect of power system which has gained several attentions from the researchers. Here by ORPD, real power loss of the network is attempted to be minimized and bus voltages are kept within stable voltage margin. ORPD is generally solved by controlling generator bus voltages, transformer tap settings and by placing shunt Var compensator in few buses. The optimal determination of the said variables are organized in this paper by applying a newly proposed nature inspired meta-heuristics technique i. e., Cuckoo search algorithm (CSA). As a test case IEEE 14-bus system is considered. The CSA based obtained results are compared with other reported evolutionary technique based results. The comparative study shows the effectiveness of the applied Cuckoo Search Algorithm technique.
引用
收藏
页码:412 / 416
页数:5
相关论文
共 16 条
[1]   Optimal power flow using tabu search algorithm [J].
Abido, MA .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2002, 30 (05) :469-483
[2]   Optimal reactive power dispatch algorithm for voltage stability improvement [J].
Bansilal ;
Thukaram, D ;
Parthasarathy, K .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1996, 18 (07) :461-468
[3]   OPTIMAL POWER FLOW SOLUTIONS [J].
DOMMEL, HW ;
TINNEY, WF .
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1968, PA87 (10) :1866-+
[4]   Study of differential evolution for optimal reactive power flow [J].
Liang, C. H. ;
Chung, C. Y. ;
Wong, K. P. ;
Duan, X. Z. ;
Tse, C. T. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2007, 1 (02) :253-260
[5]   Comprehensive learning particle swarm optimization for reactive power dispatch [J].
Mahadevan, K. ;
Kannan, P. S. .
APPLIED SOFT COMPUTING, 2010, 10 (02) :641-652
[6]   A review of selected optimal power flow literature to 1993 part I: NonLinear and quadratic programming approaches [J].
Momoh, JA ;
El-Hawary, ME ;
Adapa, R .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (01) :96-104
[7]   A review of selected optimal power flow literature to 1993 part II: Newton, linear programming and interior point methods. [J].
Momoh, JA ;
El-Hawary, ME ;
Adapa, R .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (01) :105-111
[8]   A solution to the optimal power flow using genetic algorithm [J].
Osman, MS ;
Abo-Sinna, MA ;
Mousa, AA .
APPLIED MATHEMATICS AND COMPUTATION, 2004, 155 (02) :391-405
[9]   A solution to the optimal power flow using simulated annealing [J].
Roa-Sepulveda, CA ;
Pavez-Lazo, BJ .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2003, 25 (01) :47-57
[10]  
Sadat H., 2008, POWER SYSTEM ANAL