Multi-objective artificial physical optimization algorithm for daily economic environmental dispatch of hydrothermal systems
Multi-objective artificial physical optimization algorithm for daily economic environmental dispatch of hydrothermal systems
复制标题
水热系统日常经济环境调度多目标人工物理优化算法
DOI：
10.1080/15325008.2015.1118578
复制
发表时间：
2016
影响因子：
1.5
通讯作者：
Zhang Xiaopan
中科院分区：
文献类型：
--
作者：
Yuan Xiaohui;Tian Hao;Yuan Yanbin;Zhang Xiaopan
摘要本文将日常经济/环境水热调度问题转化为一个多目标优化问题。通过引入非支配排序和拥挤距离，提出了一种多目标人工物理优化算法来求解日常经济/环境水热调度问题。为了提高算法的性能，采用了新的速度更新方程，该方程充分利用了个体记忆和种群信息。为克服多目标人工物理优化算法早熟收敛的缺点，在算法中引入混沌变异。特别是对于处理等式约束的日常经济/环境水热调度，新的启发式策略被开发来修复不可行的解决方案。为了证明多目标人工物理优化算法求解日常经济/环境水热调度的有效性，所提出的方法实施的水热系统和数值结果进行了比较，与几种优化方法。结果表明，所提出的多目标人工物理优化算法可以有效地解决日常经济/环境水热调度问题。
Abstract This article formulates the daily economic/environmental hydrothermal scheduling problem as a multi-objective optimization problem. By introducing non-dominated sorting and crowding distance, the multi-objective artificial physical optimization algorithm is proposed to solve the daily economic/environmental hydrothermal scheduling problem. To enhance the performance of the proposed algorithm, new velocity update equation, which takes advantage of the individual memory and population information, is utilized. To overcome the drawback of premature convergence, a chaotic mutation is adopted in the multi-objective artificial physical optimization algorithm. Especially for handling the equality constraints of daily economic/environmental hydrothermal scheduling, novel heuristic strategies are developed to repair the infeasible solutions. To demonstrate the effectiveness of the multi-objective artificial physical optimization algorithm for solving daily economic/environmental hydrothermal scheduling, the proposed method is implemented on a hydrothermal system and the numerical results are compared with several optimization approaches. It demonstrates that the proposed multi-objective artificial physical optimization algorithm is competent as an alternative for the daily economic/environmental hydrothermal scheduling problem.