Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm

被引:105
作者
Pandi, V. Ravikumar [1 ]
Panigrahi, Bijaya Ketan [1 ]
机构
[1] IIT, Dept Elect Engn, Delhi 110016, India
关键词
Harmony search; Particle swarm optimization; Dynamic load dispatch; Transmission losses; Ramp rate limit; Valve point loading; OPTIMIZATION; UNITS; PSO; SQP; EP;
D O I
10.1016/j.eswa.2011.01.050
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the hybrid harmony search algorithm with swarm intelligence (HHS) to solve the dynamic economic load dispatch problem. Harmony Search (HS) is a recently developed derivative-free, meta-heuristic optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This work is an attempt to hybridize the HS algorithm with the powerful population based algorithm PSO for a better convergence of the proposed algorithm. The main aim of dynamic economic load dispatch problem is to find out the optimal generation schedule of the generators corresponding to the most economical operating point of the system over the considered timing horizon. The proposed algorithm also takes care of different constraints like power balance, ramp rate limits and generation limits by using penalty function method. Simulations were performed over various standard test systems with 5 units, 10 units and 30 units and a comparative study is carried out with other recently reported results. The findings affirmed the robustness and proficiency of the proposed methodology over other existing techniques. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:8509 / 8514
页数:6
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