期刊
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
卷 46, 期 10, 页码 9399-9411出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13369-020-05308-6
关键词
Hybrid multi-objective algorithm; Economic emission dispatch; Valve-point effect; Constraints handling; Multi-objective optimization
资金
- National Natural Science Foundation of China [61671222]
- Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX19_1693]
In this study, a hybrid multi-objective algorithm combining Harris hawks optimization and differential evolution is proposed to solve the economic emission dispatch problem in power systems with valve-point effect. Experimental results demonstrate that the quality of solutions obtained by the suggested approach is superior to several existing algorithms.
Economic emission dispatch with valve-point effect in power systems is a complex multimodal, nonconvex and constrained multi-objective optimization problem. To solve this problem, a hybrid multi-objective algorithm with effective constraint handling method based on Harris hawks optimization and differential evolution is proposed: (1) the concept of Pareto domination is integrated into Harris hawks optimization to deal with economic emission dispatch problem with two conflicting objectives; (2) the optimization mechanism of Harris hawks optimization is modified to enhance its optimization capabilities; (3) a non-dominated sorting method based on new crowding distance, which can obtain Pareto optimal front with excellent uniformity, is used to maintain the external archive and to select the guiders; (4) aiming at the constraints of economic emission dispatch problem, a feasible solution dominated constraint processing method is adopted to obtain feasible solutions; (5) moreover, to enhance the convergence performance of the algorithm, a differential evolution is used to evolve the individuals in the archive. Experimental results on the IEEE 30-bus 6-unit test system demonstrate that the quality of the solutions obtained by the suggested approach is better than that of several existing algorithms.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据