研究了含分布式发电的配电网无功优化问题。结合传统的电容器无功补偿方法,将分布式电源作为连续可调无功源参与到配电网无功优化。针对智能算法容易陷入局部最优解的问题,引入子空间的概念,提出一种基于子空间细菌群体趋药性算法,增强了算法的全局寻优能力。利用 IEEE33节点系统计算表明,分布式电源参与配电网无功优化可有效降低系统的网损,提高各节点电压,改善分布式电源并网点电压稳定性,同时验证了改进算法的有效性和可行性。
The reactive power optimization with distributed generation was discussed. By integrating traditional capacitor reactive power compensation,the distribution generator was used in the reactive power optimization as a continuous ad-justable reactive source. Combining subspace conception,the subspace bacterial colony chemotaxis algorithm was pro-posed,and the global optimization capability of algorithm was enhanced. The application of algorithm in IEEE33 sys-tem showed that reactive power optimization with distributed generation was better to reduce the system loss and improve the voltage level. The validity and possibility of the algorithm was also verified.