Research on reactive power optimization based on adaptive genetic simulated annealing algorithm

被引：0
|
作者：
Liu, Keyan [1 ]
Sheng, Wanxing [2 ]
Li, Yunhua [1 ]
机构：
[1] Beihang Univ, Beijing 100083, Peoples R China
[2] CEPRI, Beijing 100085, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6 | 2006年
关键词：
genetic algorithm; reactive power optimization; simulated annealing; decimal integer encoding; adaptive genetic algorithm;
D O I：
暂无
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：
This paper proposes the integration of simulated annealing into an adaptive genetic algorithm in order to solve reactive power optimization problems. The idea of using a genetic algorithm as global search strategy while simulated annealing is used local improvements, helps to improve the optimization if done appropriately. The decimal encoding and decoding are used. The Flow chart of proposed algorithm is presented and the parameter of the proposed hybrid algorithm is illustrated. The steps of algorithm procedure are designed. Two systems of IEEE 14-bus and IEEE 30-bus are tested. The results show that the proposed algorithm in the paper is more feasible and effective.
引用
收藏
页码：1625 / +
页数：3
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