电测与仪表2017，Vol.54Issue(21)：17-25,9.
一种求解配电网多阶段规划的改进遗传膜算法
An improved genetic membrane algorithm for solving multi-stage planning of distribution network
摘要
Abstract
For the medium and long term planning of distribution network,a multi-stage planning method is proposed to describe the dynamic changes of load during plan years and the large-scale distributed generation(DG)integrated into distribution network.The method can complete the sizing and siting of DG and the network expansion.The model of distribution network multi-stage planning based on the minimum life cycle cost(LCC)is presented.To solve the complex model,an improved genetic membrane algorithm(IGMA)is proposed.IGMA includes exchange recombina-tion rule,arc cotangent-exponential self-adaptive cross transposition rule and arctangent-exponential self-adaptive mu-tation rewrite rule.An encoding method based on the adjacency matrix of digraph is used,which does not need to de-code in the optimization process.A new method is proposed to quickly generate feasible initial solutions and revise all infeasible conditions(the isolated node,chain and the closed loop)by changing the in-degree of node.Finally,the numerical simulation on IEEE 54-bus system shows that IGMA has the advantages of fast convergence speed and the strong capability of global search as well as stability.关键词
分布式电源/配电网规划/多阶段/改进遗传膜算法/邻接矩阵Key words
distributed generation/distribution network planning/multi-stage/improved genetic membrane algo-rithm/adjacency matrix分类
信息技术与安全科学引用本文复制引用
刘洋,李逐云,雷霞,张晓华,刘增庆,邱少引..一种求解配电网多阶段规划的改进遗传膜算法[J].电测与仪表,2017,54(21):17-25,9.基金项目
国家自然科学基金(51677020) （51677020）
教育部春晖计划项目(Z2016145) （Z2016145）
