含分布式电源的配网重构改进算法

华电技术 ›› 2013, Vol. 35 ›› Issue (12): 4-6.

含分布式电源的配网重构改进算法

(1.石家庄铁道大学土木工程学院，河北石家庄〓050043； 2.北京兴华景成科技发展有限公司，北京〓100048)

出版日期:2013-12-25 发布日期:2014-02-19

Improved algorithm for reconstruction of power distribution network containing distributed power sources

(1.School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China; 2.Beijing Xinghua Jingcheng Science and Technology Development Company Limited, Beijing 100048, China)

Online:2013-12-25 Published:2014-02-19

摘要/Abstract

摘要： 摘要：分布式发电技术被认为是解决人类社会未来能源危机的最可能、最有效途径。分别从网络可行解、最优解等方面分析了分布式电源接入对配网重构的影响，并实现了含分布式电源的配网重构。同时对配网重构算法进行了研究，在差分进化法的基础上提出了改进算法，并在IEEE33标准算例上对改进算法进行了对比验证。结果表明，改进差分进化算法不仅计算效率有了较大提高，全局寻优能力也要优于改进前的差分进化算法。

关键词: 关键词：分布式电源, 配电网络重构, 最优解, 差分进化算法

Abstract: Abstract:The distributed power generation technology is known as a most probable and most effective way to solve the future energy crisis of human society. Considering the feasible solution, the optimal solution of the network and other aspects, the influence of access of distributed power sources on the distribution network reconstruction was analyzed, and the reconstruction of the distribution network containing distributed power sources was realized. Simultaneously, the algorithm for reconstruction of distribution network was studied. Based on the differential evolutionary algorithm, an improved algorithm was proposed, and the improved algorithm was compared and verified on IEEE33 standard example. The result shows that the improved differential evolutionary algorithm has higher calculation efficiency and better global optimization ability comparing with the original differential evolutionary algorithm.

Key words: Key words:distributed power source, reconstruction of power distribution network, optimal solution, differential evolutionary algorithm

孙洪硕1，胡延林2. 含分布式电源的配网重构改进算法[J]. 华电技术, 2013, 35(12): 4-6.

SUN Hongshuo 1, HU Yanlin 2. Improved algorithm for reconstruction of power distribution network containing distributed power sources[J]. Huadian Technology, 2013, 35(12): 4-6.