基于细菌菌落优化算法分布式电源优化配置

分布式电源位置和容量的优化配置可确保其发挥更好的技术经济效用。在分析DG特性的基础上,建立了考虑含分布式电源的有功网损费用最小和综合投资成本以及购电成本最小模型的多目标优化模型,并且提出了一种新颖的智能优化算法细菌菌落算法。细菌菌落优化算法根据单个细菌的生长方式及其群体菌落繁殖的特性演化而来。该算法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。最后,通过算例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。

Optimal power flow of distribution network with distributed generation based on bacterial colony optimization

The optimal configuration of location and capacity of the distributed generation (DG) can ensure its better technical and economic utility. Based on the detailed analysis on peculiarity of DG, this paper establishes a model of DG which takes the minimal active network loss of DG and the least cost into consideration. A bacterial colony optimization (BCO) algorithm based on the basic growth law of bacterial colony is presented. An information sharing method is built for the colony. This BCO algorithm provides a new type of termination; it will terminate the iteration when the colony vanishes, regardless of the iteration number or the precision value. Finally, the effectiveness of the proposed algorithm is illustrated by experiments.