采用MOEA/D算法的含风电系统环境经济调度  

Environmental Economic Dispatch Integrating Wind Power Adopting MOEA/D Algorithm

作　　者：朱永胜[1,2] 王杰[1] 

机构地区：[1]郑州大学电气工程学院,河南郑州450001 [2]中原工学院电子信息学院,河南郑州450007

出　　处：《郑州大学学报（工学版）》2014年第4期96-100,共5页Journal of Zhengzhou University（Engineering Science）

基　　金：国家自然科学基金资助项目(61305080);河南省科技攻关计划项目(132102210521);河南省教育厅科学技术研究重点项目(14A470010)

摘　　要：建立含风电系统的环境经济调度(Environmental Economic Dispatch,EED)模型,提出采用基于分解的多目标进化算法(Multi-objective Evolutionary Algorithm Based on Decomposition,MOEA/D)来求解,并在算法中加入约束处理,归一化及变异操作来改善算法的性能并保持解的多样性,以获得理想的Pareto最优前沿.通过仿真计算,并与其他优化算法进行对比分析,验证了MOEA/D算法解决含风电EED问题的可行性和有效性.The Environmental Economic Dispatch （EED） model integrating wind power is established. The Multi-objective Evolutionary Algorithm based on Decomposition （MOEA/D） is proposed to solve the model with the constraint handling methods, normalization and mutation operation to improve the performance of the algorithm and maintain the diversity of solutions, which can obtain the ideal Pareto optimal front. Simulation tests were performed and the results show that, through comparative analysis with other optimization algorithms, the MOEA/D is more feasible and effective in solving EED problems with wind power.

关 键 词：风电 环境经济调度 多目标进化算法 MOEA D PARETO最优前沿 

分 类 号：TM732[电气工程—电力系统及自动化]