电测与仪表2018，Vol.55Issue(5)：38-45,8.
基于改进多目标粒子群算法的微网双层优化调度策略
Bi-level optimization scheduling strategy of micro-grid based on improved MOPSO
李雪松 1滕欢 1郭宁 1梁梦可 1吴泽穹1
作者信息
- 1. 四川大学智能电网四川省重点实验室,成都610065
- 折叠
摘要
Abstract
This paper considers economic cost,environmental costs and system operation risk of micro-grid,establi-shes a multi-objective optimization scheduling model,and introduces a bi-level optimal model at the end of the iteration which solves the problem that the traditional optimization model is easy to miss the best solution.In view of the defects of traditional MOPSO,a MOPSO based on the collaborative filtering strategy of "grid-degree of congestion" is proposed in this paper.When there is few numbers of particles in the external file,we choose the grid method to get the optimum value,when the number is large,we choose the degree of congestion sorting method.As a result,the convergence and diversity of sets are enhanced.The decision algorithm based on the combinatorial weighting method of relative entropy which synthesizes the advantages of methods of subjectively and objectively is established in the lower floor of the method,which makes the final result more reasonable.Finally,the necessity of bi-level optimization and the superiority of the improved MOPSO are verified with a small micro-grid.关键词
微网/多目标优化/双层优化/栅格法/拥挤度/组合赋权法Key words
micro-grid/multi-objective optimization/bi-level optimization/grid method/degree of congestion/combinatorial weighting method分类
信息技术与安全科学引用本文复制引用
李雪松,滕欢,郭宁,梁梦可,吴泽穹..基于改进多目标粒子群算法的微网双层优化调度策略[J].电测与仪表,2018,55(5):38-45,8.
