Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (21): 9-14.

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Distribution network reconfiguration using Improved Knowledge Evolutionary Algorithm

LI Xue1,2, CUI Ying’an1,3, CUI Duwu1, TAO Yongqin1,3   

  1. 1.School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
    2.International Business School, Shaanxi Normal University, Xi’an 710062, China
    3.School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
  • Online:2012-07-21 Published:2014-05-19

改进的知识进化算法在配电网的应用

李  雪1,2,崔颖安1,3,崔杜武1,陶永芹1,3   

  1. 1.西安理工大学 计算机科学与工程学院,西安 710048
    2.陕西师范大学 国际商学院,西安 710062
    3.西安交通大学 电信学院,西安 710049

Abstract: This paper puts forward a novel improved knowledge evolutionary algorithm for distribution network reconfiguration, which consists of  a new coding rule, inheritance operation, innovation operation and inspection operation. In the 100 times simulation tests of  IEEE16-bus, IEEE33-bus and IEEE69-bus distribution networks, IKEA can find the global optimal solution in each time, and the average convergence generations are 9.7, 10.2  and 18.1 respectively. In the optimization of distribution network, IKEA reduces the times of iteration. The simulation results show that IKEA is feasible and efficient for distribution network reconfiguration.

Key words: distribution network reconfiguration, knowledge evolutionary algorithm, inheritance operation, innovation operation, inspection operation

摘要: 分析了配电网的特点,提出使用改进的知识进化算法(Improved Knowledge Evolutionary Algorithm,IKEA)求解配电网重构问题。重点阐述了编码规则,设计了适合于配电网重构的传承操作、创新操作和检验操作,应用IKEA求解配电网重构问题。针对IEEE16、IEEE33和IEEE69节点的100次仿真实验中,IKEA全部找到最优解,平均收敛代数分别为9.7、10.2和18.1。同相关文献的智能算法求解配电网重构问题的测试结果对比发现,IKEA可有效地缩小搜索空间,减少迭代次数,而且解的效果较好,算法的效率较高。

关键词: 配电网重构, 知识进化算法, 传承操作, 创新操作, 检验操作