基于改进的差分进化算法求解SWMP问题  

Solving the SWMP Problem Based on Improved Differential Evolution Algorithm

作　　者：罗翠云 冯源 李凌 李佩杰[2] 梁振成 阳育德[2] 宁阳天 李滨[2] 朱敦麟 LUO Cuiyun;FENG Yuan;LI Ling;LI Peijie;LIANG Zhencheng;YANG Yude;NING Yangtian;LI Bin;ZHU Dunlin(Power Dispatching and Control Center of Guangxi Power Grid Co.,Ltd.,Nanning 530023,China;Key Laboratory of Power System Optimization and Energy Saving Technology,Guangxi University,Nanning 530000,China)

机构地区：[1]广西电网有限责任公司电力调度控制中心,南宁530023 [2]广西大学电力系统最优化与节能技术重点实验室,南宁530000

出　　处：《南方电网技术》2024年第8期89-98,共10页Southern Power System Technology

基　　金：国家自然科学基金资助项目(52267006);广西电网有限责任公司科技项目(GXKJXM20210339)。

摘　　要：需求侧响应可以为电网带来可观的收益,计及需求响应的电力系统经济调度优化方法研究成为国内外学者的关注的课题。提出了一种可以用于解决计及需求侧响应的电力系统经济调度问题的基于随机黑洞模型的差分进化算法(sequence-based differential evolution hole,S-DEH),该算法基于原始的差分进化算法结合随机黑洞模型,对初始序列敏感性高,稳定可靠,计算量小,能够针对不同的问题选择最佳的控制参数,能够减少人为的操作失误和调整优化算法参数所需要的时间,具有很高的求解效率。同时所采用的演算模型为计及需求侧响应的求解电力系统的单时段的社会效益最大化问题(social welfare maximization problem,SWMP),以验证算法的性能,并通过求解多时段的SWMP优化调度问题验证了算法在处理高维度复杂优化问题时仍能保持高效的性能。Demand side response can bring considerable benefits to the power grid,and research on economic dispatch optimization methods for power systems that takes into account demand response has become a topic of concern for domestic and foreign scholars.A differential evolution algorithm based on a stochastic black hole model,called the differential evolution hole algorithm(S-DEH),has been proposed to solve the economic dispatching problem of power systems considering demand-side response.This algorithm bases on the original differential evolution algorithm combined with the stochastic black hole model,which is highly sensitive to initial sequence,stable and reliable,and requires little computation.It can select the best control parameters for different problems,reduce artificial operation errors and the time required to adjust the optimization algorithm parameters,and has high solving ef⁃ficiency.At the same time,the calculation model adopted in this paper is to solve the social welfare maximization problem(SWMP)of the power system in a single period considering the demand-side response to verify the performance of the algorithm.By solving the SWMP scheduling problem in a multi-period,the algorithm can still maintain efficient performance when dealing with complex optimization problems of high dimensions.

关 键 词：自适应差分进化算法 差分进化黑洞算法 电力系统经济调度 需求侧管理 

分 类 号：TM73[电气工程—电力系统及自动化]