Chaotic particle swarm optimization based robust load flow

被引：29
|
作者：
Acharjee, P. [1 ]
Goswami, S. K. [2 ]
机构：
[1] Natl Inst Technol, Dept Elect Engn, Durgapur 713209, India
[2] Jadavpur Univ, Dept Elect Engn, Kolkata 700032, India
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2010年 / 32卷 / 02期
关键词：
Chaotic particle swarm optimization; Load flow; Critical conditions; POWER-FLOW; ALGORITHM; SYSTEMS;
D O I：
10.1016/j.ijepes.2009.06.020
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：
A reliable load flow algorithm based on chaotic particle swarm optimization (CPSO) technique has been developed. To obtain optimum solution efficiently and accurately, an innovative formula for adaptive inertia weight factor (AIWF) has been introduced. Novel formulae for constriction factors have been designed for the load flow problems which are also adaptive. In addition to that, chaotic local search (CLS) is used with PSO to get rid of the local optima. To the best of our knowledge, it is the first report of applying CPSO to solve load flow problems. The efficiency and effectiveness of the proposed algorithm has been tested on different standard and ill-conditioned test systems. The proposed method shows its robustness under critical conditions when conventional load flow methods fail. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：141 / 146
页数：6
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