中国电力2013，Vol.46Issue(1)：16-20,5.
基于遗传算法和微分进化算法的分布式电源优化配置
Optimal Allocation of Distributed Generation Based on Genetic Algorithms and Differential Evolution Algorithm
袁沔齐 1邹振宇 1孙凯祺 1刘合金 1李可军1
作者信息
摘要
Abstract
Selection of the position and rated capacity of the distributed generation (DG) is crucial for power system in planning, design and investment. Genetic algorithm and differential evolution algorithm are adopted for the optimal allocation of DG based on a 10-node distribution network and an uncertainty DG model is built and added into the optimization analysis with an optimization algorithm program. The load flow is calculated for a distribution network with DG and the relation between installed DG capacity and the system's total transmission loss is analyzed. The computational example shows that the proposed method of optimal allocation is reasonable and effective in improving the voltage distribution of distribution network, reducing transmission loss and improving the system' s output factor.关键词
分布式电源/优化配置/不确定性模型/遗传算法/微分进化算法Key words
Distributed generation/optimal allocation/uncertainty model/genetic algorithm/differential evolution algorithm分类
信息技术与安全科学引用本文复制引用
袁沔齐,邹振宇,孙凯祺,刘合金,李可军..基于遗传算法和微分进化算法的分布式电源优化配置[J].中国电力,2013,46(1):16-20,5.
