新能源电力系统国家重点实验室(华北电力大学),北京 102206
[ "朱溪(1992—),女,博士研究生,从事综合能源系统优化调度与安全运行研究,E-mail:brookxizhu@126.com" ]
[ "曾博(1987—),男,通信作者,博士,副教授,从事综合能源系统规划运行、需求响应建模与仿真等研究,E-mail:alosecity@126.com" ]
收稿:2021-03-09,
修回:2021-04-19,
纸质出版:2021-07-05
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朱溪, 曾博, 徐豪, 等. 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[J]. 中国电力, 2021,54(7):46-55.
Xi ZHU, Bo ZENG, Hao XU, et al. An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System[J]. Electric power, 2021, 54(7): 46-55.
朱溪, 曾博, 徐豪, 等. 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[J]. 中国电力, 2021,54(7):46-55. DOI: 10.11930/j.issn.1004-9649.202103067.
Xi ZHU, Bo ZENG, Hao XU, et al. An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System[J]. Electric power, 2021, 54(7): 46-55. DOI: 10.11930/j.issn.1004-9649.202103067.
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。
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.
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