摘要
针对电力系统经济调度问题,提出一种基于差分进化(DE)算法和Jaya混合优化(DJ)算法的求解方法。通过引入一个概率选择因子,建立DE和Jaya算法在进化过程中的占比,以充分发挥DE算法的探索能力和Jaya算法的开发能力,从而平衡算法的局部寻优能力和全局寻优能力。采用13机组、40机组和110机组电力系统作为仿真算例,以验证该算法的可行性和有效性。仿真结果表明:DJ算法获取更优的调度方案,可作为经济调度(ED)问题求解的一种有效方法。
Aimimg at the economic dispatching problem of power system,a method based on differential evolution(DE)algorithm and Jaya hybrid optimization algorithm,DJ algorithm,is proposed.By introducing a probability selection factor,the ratio of DE and Jaya algorithm in the evolutionary process is established to give full play to the exploration ability of DE algorithm and the development ability of Jaya algorithm,so as to balance the local optimization ability and global optimization ability of the algorithm.The feasibility and effectiveness of the proposed algorithm are verified by using 13,40 and 110 power systems as simulation examples.The simulation results show that DJ algorithm can obtain a better scheduling scheme,and can be used as an effective method for solving the problem of economic dispatch(ED).
作者
蒋承刚
熊国江
帅茂杭
JIANG Chenggang;XIONG Guojiang;SHUAI Maohang(School of Electrical Engineering,Guizhou University,Guiyang 550025,China)
出处
《传感器与微系统》
CSCD
北大核心
2023年第8期157-160,164,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(51907035,52167007)
贵州省教育厅青年科技人才成长项目(黔教合KY字[2018]108)。
关键词
电力系统
经济调度
阀点效应
差分进化算法
Jaya算法
power system
economic dispatch(ED)
value point effect
differential evolution(DE)algorithm
Jaya algorithm
