基于改进万有引力搜索算法的微网优化运行  

Optimal Operation of Microgrid Based on Improved Gravitational Search Algorithm

作　　者：李鹏[1] 徐伟娜[2] 周泽远 李锐[1] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),河北省保定市071003 [2]国网浙江省电力公司绍兴供电公司,浙江省绍兴市312000

出　　处：《中国电机工程学报》2014年第19期3073-3079,共7页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50977029);河北省自然科学基金(E2013502074)~~

摘　　要：微网为分布式电源并网提供了有效的技术途径,微网的优化运行是微网领域的重要研究课题。综合考虑经济成本、环境效益和网损等多个运行指标对微网的优化运行进行数学建模;通过引入反向学习机制、精英策略和全局记忆性,提出基于改进万有引力搜索算法的微网优化运行方法,并将其应用于解决多目标多约束的微网优化运行问题;最后,通过算例验证了所提出的算法的正确性和可行性。Microgrid provides an effective technical approach for distributed generation systems connected to the grid. The optimal operation is an important research topic in the field of microgrid. This paper established a mathematical model for the optimal operation of microgrid composed of several objective functions such as economic cost, environmental benefits and the network loss. And an improved gravitational search algorithm was proposed to settle this optimal problem by the introduction of opposition-based learning mechanism, elite strategy and global memory. Finally, the correctness and feasibility of the proposed method were verified through the simulation.

关 键 词：微网 优化运行 万有引力搜索算法 反向学习机制 精英策略 

分 类 号：TM71[电气工程—电力系统及自动化]