摘要
针对带阀点效应的经济负荷分配(ELD)问题高维、非凸、非线性的特点,应用混合蛙跳算法(SF-LA)解决电力系统ELD问题。该算法结合了模因演算算法(MA)和粒子群优化(PSO)算法二者的优点,在确保全局收敛和满足约束条件下,能够快速有效地搜索到最优解。通过对多个ELD问题实例进行仿真计算,并与参考文献做比较,结果表明:SFLA对于解决电力系统ELD问题是有效、可行的。
Aiming at high dimensional,nonconvex and nonlinear characteristics of economic load dispatch(ELD)problem with value-point effect,shuffled frog leaping algorithm(SFLA) is applied to solve ELD problem in electric power system.The algorithm combines the advantages of memetic algorithm and particle swarm optimization(PSO)algorithm,and can rapidly and effectively search the best optimization solution under the condition of ensuring global convergence and constraint.Through simulation computation on several ELD problems and compared with references,the results show that the algorithm is valid and feasible to solve ELD problem of power system.
出处
《传感器与微系统》
CSCD
北大核心
2012年第6期58-61,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61063028)
关键词
群体智能
混合蛙跳算法
经济负荷分配
阀点效应
电力系统
swarm intelligence
shuffled frog leaping algorithm(SFLA)
economic load dispatch(ELD)
value-point effect
electric power system
