崔崇雨,朱瑞金,龚雪娇.采用混沌蝙蝠算法的含DG配电网无功优化[J].电测与仪表,2021,58(10):95-100. Cui Chongyu,Zhu Ruijin,Gong Xuejiao.Reactive Power Optimization of Distribution system with Distributed Generation Based on Chaotic Bat Algorithm[J].Electrical Measurement & Instrumentation,2021,58(10):95-100.
采用混沌蝙蝠算法的含DG配电网无功优化
Reactive Power Optimization of Distribution system with Distributed Generation Based on Chaotic Bat Algorithm
分布式发电(Distributed Generation,DG)接入配电网可同时降低网损和改善电压质量。提出了一种混沌蝙蝠算法(Chaotic Bat Algorithm,CBA)求解含DG的配电网无功优化问题。CBA算法在基本蝙蝠算法(Bat Algorithm,BA)的基础上,采用Tent混沌映射初始化蝙蝠位置和更新脉冲发射率以提高全局收敛性,同时动态自适应更新蝙蝠速度以增加种群多样性。采用CBA算法对含DG接入的的IEEE 33节点系统进行无功优化分析,计算结果验证了所提算法的有效性。
英文摘要:
Integrating DG to distribution system can reduce the active power loss and improve the voltage quality. A chaotic bat algorithm (CBA) is proposed to solve the reactive power optimization of distribution system penetrated with distributed generation. Based on the basic bat algorithm (BA), CBA algorithm implements Tent map to initialize bat’s position and update the pulse emission rate, which can increase the global search ability of population. In addition, bat’s velocity is updated by using adaptive weighting method, which can enhance the diversity of population. The CBA algorithm is tested on IEEE 33-bus distribution system with photovoltaic power plant, the simulation result shows that the proposed algorithm is effective.
