中国电力 ›› 2021, Vol. 54 ›› Issue (7): 46-55.DOI: 10.11930/j.issn.1004-9649.202103067

• 电网 • 上一篇    下一篇

一种面向配电网负荷恢复力提升的多能源供需资源综合配置优化方法

朱溪, 曾博, 徐豪, 刘教民   

  1. 新能源电力系统国家重点实验室(华北电力大学),北京 102206
  • 收稿日期:2021-03-09 修回日期:2021-04-19 发布日期:2021-07-12
  • 作者简介:佘蕊(1994-),女,通信作者,硕士,助理工程师,从事电力无线通信,电力物联网,信息数据安全传输研究,E-mail:m13730178637@163.com;张宁池(1983-),男,高级工程师,从事电力经济、电力供需研究,E-mail:zhangningchi@sgitg.sgcc.com.cn;王艳茹(1985-),女,硕士,高级工程师,从事电力通信技术研究,E-mail:wangyanru@sgitg.sgcc.com.cn
  • 基金资助:
    国家自然科学基金资助项目(No. 51507061)

An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System

ZHU Xi, ZENG Bo, XU Hao, LIU Jiaomin   

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
  • Received:2021-03-09 Revised:2021-04-19 Published:2021-07-12
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51507061)

摘要: 针对极端天气影响下的配电网终端负荷恢复力提升问题,展开了考虑飓风灾害影响的多能源供需侧资源综合优化配置方法研究。首先,基于产消者集群的概念,构建了配电网中分布式能量耦合元件模型及终端用户的负荷特性模型,在此基础上,以多能供需资源调用成本最小为目标,进一步构建基于移动应急发电机、分布式能量耦合设备和需求响应资源的城市电网应急优化配置的二阶段鲁棒优化模型,并通过引入保守度可调的不确定区间构建在飓风灾害下的配电线路的毁伤度模型。针对所建模型特点,采用列约束生成算法(C&CG)对其进行高效求解。为验证所提方法的有效性,以IEEE 33节点配电网为例进行仿真分析,所得结果表明综合利用多能源背景下的供需侧资源可以更经济有效地改善极端天气时配电系统负荷恢复能力。

关键词: 弹性城市电网, 需求响应, 移动应急发电机, 分布式能源, 二阶段鲁棒优化

Abstract: To deal with the issue of load resilience enhancement of distribution systems under extreme weather, this paper studied the integrated optimal allocation method of multi energy supply and demand side resources considering the effects of hurricane events. Firstly, the load characteristics of end consumers and the distributed energy resources in the prosumer community were modelled. On this basis, a two-stage robust optimization model was further constructed with the objective of minimizing the cost of multi-energy resources, realizing the emergency optimal allocation of mobile emergency generator(MEG), distributed energy coupling equipment and demand side resources in distribution system. Besides, the impact of hurricane on distribution lines was described via the uncertainty set with adjustable conservative degree. In addition, the column-and-constraint generation (C&CG) algorithm was used to efficiently solve the above model. Finally, the IEEE 33-bus distribution test system was adopted for simulation analysis, and the results show that the comprehensive utilization of multi-energy resources can effectively enhance the load resilience of the distribution systems under hurricane events in a more economical way.

Key words: resilient urban distribution system, demand response, mobile emergency generator, distributed energy resources, two-stage robust optimization