配网居民用户侧应急抢修资源多目标选址研究
作者:
作者单位:

作者简介:

通讯作者:

王华昕(1975-),男,博士,副教授,主要从事配电网自动化研究;E-mail:2009000032@shiep.edu.cn

中图分类号:

TM72

基金项目:

国家自然科学基金(51307104)


Research on multi objective location of rush repair resources in residents’ side for distribution network
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    配网居民用户侧应急抢修主要针对10kV 以下的居民用户故障,其抢修处理量大、到达时间要求短。现有的应急抢修存在问题:未考虑不同地区的差异性及不确定性进行布置;抢修资源选址模型单一。在此背景下,考虑不同目标对资源配置的影响,建立配电网应急抢修资源多目标选址模型。模型中根据故障工单及天气、路况等数据构建距离、成本目标函数,同时设置覆盖面积、到达距离约束。采用基于 Pareto支配的多目标粒子群算法进行优化求解,通过基于信息熵的序数偏好法得到最终优化方案。最后,通过算例验证所述模型的可行性。

    Abstract:

    The rush repair work of the distribution network is mainly aimed at the faultsof residential users below 10 kV. The rush repair is heavy workload and the requirement of the arrival time is short. The existing rush repair has the following problems: the differences and uncertainties of different regions are not fully considered for layout; the location selection model ofrepairing resources is simple. Considering the influence of different objectives on resources allocation, a multiobjective optimization location model for repair resources in distribution network is built. The distance and cost objective functions are constructed according to the failure schedule, weather and road conditions, and the constraints of the coverage area and arrival distance are set at the same time. A multiobjective particle swarm optimization (PSO) algorithm based on Pareto dominance is used to solve the optimization problem. The final optimization scheme is obtained by the ordinal number preference method based on information entropy. Finally, an case study is performed to illustrate the feasibility of the proposed model.

    参考文献
    相似文献
    引证文献
引用本文

王华昕,倪静,赵永熹,徐晨,陆斌.配网居民用户侧应急抢修资源多目标选址研究[J].电力科学与技术学报,2021,(4):73-80. Wang Huacuan, Ni Jing, Zhao Yongxi, Xu Chen, Lu Bin. Research on multi objective location of rush repair resources in residents’ side for distribution network[J]. JOURNAL OF EIECTRIC POWER SCIENCE AND TECHNOLOGY,2021,(4):73-80.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-08-28
  • 出版日期: