中国电力 ›› 2013, Vol. 46 ›› Issue (11): 57-61.DOI: 10.11930/j.issn.1004-9649.2013.11.57.4

• 电网 • 上一篇    下一篇

配网负荷转供最优方案确定新方法

孙大雁1, 林济铿2, 袁龙3, 王刚4, 王文杰4, 秦岭5, 郭兴5   

  1. 1. 江苏省电力公司,江苏 南京 210002; 2. 同济大学 电子信息与工程学院 电力系,上海 201804; 3. 天津大学 智能电网教育部重点实验室,天津 300072; 4. 辽宁省电力有限公司电力科学研究院,辽宁 沈阳 110006; 5.天津市电力公司滨海供电公司,天津 300450
  • 收稿日期:2013-07-10 出版日期:2013-11-23 发布日期:2015-12-10
  • 作者简介:孙大雁(1970—),男,江苏无锡人,高级工程师,从事电力系统运行、优化和监视研究。

A New Method for Determining Optimal Load Transfer Scheme in Distribution Network

SUN Da-yan1, LIN Ji-keng2, YUAN Long3, WANG Gang4, WANG Wen-jie4, QIN Ling5, GUO Xing5   

  1. 1. Jiangsu Electric Power Company, Nanjing 210002, China; 2. Department of Electric Power of Electronic Information and Engineering School , Tongji University, Shanghai 201804, China; 3. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China; 4. Electrical Power Research Institute of Electrical Company of Liaoning Province, Shenyang 110006, China; 5. Binhai Utility of Electrical Company of Tianjin, Tianjin 300384, China
  • Received:2013-07-10 Online:2013-11-23 Published:2015-12-10

摘要: 针对基于随机类算法确定负荷转供方案往往计算速度慢的缺点,提出了基于具有不可行解修复能力的自适应免疫算法结合基本树拓扑快速判断的负荷转供最优方案确定新方法。该方法全面计及了负荷转供的各个因素,具有模型完整的特点。因该方法具有不可行解修复能力,比其他方法计算速度更快。在优化的过程中,为了增加计算速度,进一步采用了基于基本树的拓扑放射性快速辨识策略,使得当前解无需进行相应的遍历而能快速判断当前解是否满足放射性。多个算例验证了该方法的有效性。

关键词: 自适应免疫算法, 不可行解修复能力, 负荷转供, 基本树, 拓扑放射性快速辨识

Abstract: In view of the slow calculation process of stochastic algorithm in determining the optimal load transfer scheme, a new method is proposed to solve the problem based on the adaptive immune algorithm with infeasible solution recovery in combination with the basic-tree topology fast judging method. With consideration of all the factors of load transfer, this method is characterized by a complete mathematical model. Due to its infeasible solution recovery technology, it has an advantage over stochastic optimization methods in calculation time. Furthermore, to increase the calculation speed, the basic-tree based topology radial fast identification strategy is used to judge the topological radial constraint limits in distribution system for each new solution during the iteration process, as a result, the calculation time for the evolution optimization process is further reduced. Several case studies have proved the effectiveness and validity of this method.

Key words: adaptive immune algorithm, infeasible solution recovery, load transfer, basic-tree, fast determination of the radial topology property

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