Reconfiguration of Radial Distribution Systems with Fuzzy Multi-objective Approach using Adaptive Particle Swarm Optimization

被引：0
|
作者：
Swarnkar, Anil [1 ]
Gupta, Nikhil [1 ]
Niazi, K. R. [1 ]
机构：
[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur, Rajasthan, India
来源：
IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010 | 2010年
关键词：
Distribution network; fuzzy sets; multi-objective; particle swarm optimization; reconfiguration; NETWORK RECONFIGURATION; GENETIC ALGORITHM; LOSS REDUCTION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents an efficient method for the multi-objective reconfiguration of radial distribution systems in fuzzy framework using adaptive particle swarm optimization. The initial population for particle swarm optimization is created using a heuristic approach and the particles are adapted with the help of graph theory to make feasible solutions. This avoids tedious mesh check and hence reduces the computational burden. The effectiveness of the proposed method is demonstrated on 83-bus test system. The simulation results show that the proposed method is efficient and promising for multi-objective reconfiguration of radial distribution systems.
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页数：8
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