基于细菌菌落优化算法含分布式电源的无功优化

摘要

By integrating the reactive power of the distributed generators ( DGs) with the traditional voltage regulation of the distribution network, the reactive power optimization problem in distribution power system with DGs is dis-cussed.This paper analyzed the change of the network loss when DGs access to distribution network, and established the minimum active network loss as the objective function of optimization model.A new bacterial colony optimization ( BCO) algorithm based on the basic growth and death law of bacterial colony is presented and used for solving the re-active power optimization problems of DGs in distribution network.Finally, the effectiveness of the proposed algorithm is illustrated by experiment of IEEE-33 nodes system.%将分布式电源与传统的配电网电压调节方式相结合,分析包含分布式电源的配电网系统无功优化的问题,并建立了有功网损最小的优化数学模型,并将细菌菌落优化算法应用在无功优化的求解模型中. 细菌菌落算法根据群体菌落生长演化过来程来寻找最优解,建立了细菌菌落的生成和死亡的寻优机制,并提供了一种新的寻优算法的结束方式. 并将其用在解决分布式电源在配电网中的无功优化问题. 通过IEEE-33测试系统验证所提算法具有良好实用性和适应性,并且也验证所提模型的实际意义.