基于改进BCC算法的含分布式发电的配电网无功优化

摘要

Introduction was made to the reactive power optimization of distribution network with distributed generation and the bacterial colony chemotaxis (BCC) algorithm was improved. This paper introduced the differential evolution operator and mixed mapping chaos model of linear power function to adjust the moving speed and perception range of bacteria dynamically. The improved BCC increased the calculation speed and the capability of global search. Case calculation results show that after the improved bacterial colony chemotaxis algorithm was optimized, the distribution network has the lowest network loss and the least iteration times.%介绍了含分布式发电的配电网无功优化问题，改进了细菌群体趋药性算法(BCC)，引入微分进化算子和线性幂函数混合映射混沌模型，动态调整细菌移动速度和感知范围，提高了算法的寻优速度和全局搜索能力。算例结果表明采用改进的BCC算法优化后的配电网网损最低，迭代次数最少。