基于多策略多目标差分进化算法的风光储系统协调优化调度  

Coordinated and Optimal Dispatching for Wind-photovoltaic-storage Systems Based on Multi-strategy Multi-objective Differential Evolution Algorithm

作　　者：任旭阳 卜旭辉[1] 尹艳玲 刘静滑 Ren Xuyang;Bu Xuhui;Yin Yanling;Liu Jinghua(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China;School of Business Administration,Henan Polytechnic University,Jiaozuo 454003,China)

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454003 [2]河南理工大学工商管理学院,河南焦作454003

出　　处：《系统仿真学报》2025年第2期450-461,共12页Journal of System Simulation

基　　金：国家自然科学基金(U1804147,62273133);河南省高校科技创新团队项目(20IRTSTHN019)。

摘　　要：新能源发电单元的引入,使得电力系统组成结构愈发复杂,现有经济调度求解方法遇到诸多挑战。构建了一个风光储系统协调动态经济调度模型,给出了一种利用修补策略的约束条件处理方法,提出了一种基于竞争机制的多策略多目标差分进化算法(competitive partitioning-based multi-strategy multi-objective differential evolutionary algorithm,CMMODE)。利用竞争机制将种群分区,并根据分区结果构建多个差分变异算子,以此生成多策略方案;采用精英自探索机制令种群具有跳出局部最优能力与局部开发能力。仿真实验验证了CMMODE算法在解决动态经济调度问题上的有效性,约束处理方法具有良好的可行性。The introduction of new energy generation units makes the power system structure more and more complex,and the existing economic dispatching methods face many challenges.A coordinated and optimal dispatching for wind-photovoltaic-storage systems is constructed and a constraint handling method is given,a competitive mechanism-based multi-strategy multi-objective differential evolutionary(CMMODE)algorithm is proposed.The CMMODE algorithm utilizes a competitive mechanism to partition the population and constructs multiple diferential variance operators based on the partitioning results,thus generating a multi-strategy scheme,employs an elite self-exploration mechanism to make the population have the ability to jump out of the local optimum and the ability of exploitation.The results show the effectiveness of the CMMODE algorithm in solving the dynamic economic dispatch problem,and the constraint processing method has good feasibility.

关 键 词：差分进化算法 竞争机制 多策略方案 约束处理 动态经济调度 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TM734[自动化与计算机技术—计算机科学与技术]