考虑配电网状态的共享储能优化运行方法

doi:10.3969/j.issn.1008-0198.2024.01.010

湖南电力 ›› 2024, Vol. 44 ›› Issue (1): 67-76.doi: 10.3969/j.issn.1008-0198.2024.01.010

考虑配电网状态的共享储能优化运行方法

姚军¹, 陆俊¹, 廖一璞², 王振宇^3,4, 梁恩民¹, 龚钢军¹

1.北京市能源电力信息安全工程技术研究中心(华北电力大学),北京昌平 102206;
2.浙江大学,浙江杭州 310000;
3.国网电力科学研究院有限公司(南瑞集团有限公司),江苏南京 211100;
4.国网电力科学研究院武汉能效测评有限公司,湖北武汉 430074

收稿日期:2023-11-03 修回日期:2023-12-08 出版日期:2024-02-25 发布日期:2024-03-11
通信作者: 陆俊(1976),男,副教授,主要研究方向为电力系统通信和智能用电。
基金资助:
国家重点研发计划(2022YFB3105103)

Optimal Operation Method of Shared Energy Storage Considering Distribution Network State

YAO Jun¹, LU Jun¹, LIAO Yipu², WANG Zhenyu^3,4, LIANG Enmin¹, GONG Gangjun¹

1. Beijing Engineering Research Center of Energy and Electric Power Information Security (North China Electric Power University), Beijing 102206, China;
2. Zhejiang University, Hangzhou 310000, China;
3. State Grid Electric Power Research Institute Co., Ltd. (Nanrui Group Co., Ltd.), Nanjing 211100, China;
4. State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Co. Ltd., Wuhan 430074, China

Received:2023-11-03 Revised:2023-12-08 Online:2024-02-25 Published:2024-03-11

摘要/Abstract

摘要： 考虑共享储能接入对配电网的影响,提出一种考虑配电网状态的共享储能优化运行方法。首先,阐述了共享储能的运行模型,通过共享储能运营商将储能资源统一起来,构建共享储能电站的运行模型、配电网稳定性模型和用户用电成本模型。然后,构建考虑配电网状态的双目标优化模型,基于多目标优化的概念完成配电网和共享储能电站的博弈,基于欧氏距离法满足用户用电期望。最后,基于33节点配电网系统进行仿真,证明了所提方法的优越性。算例表明,该方法可有效降低共享储能电站运行成本,使电网运行更加稳定,同时降低了用户用电成本。

关键词: 共享储能, 潮流优化, 多目标, 粒子群优化

Abstract: Considering the influence of the access of shared energy storage on the distribution network, this paper proposes an optimal operation method of shared energy storage considering the state of the distribution network. Firstly, the operation model of shared energy storage is described, and the operation model of shared energy storage power station, the stability model of distribution network and the cost model of user electricity are constructed by unifying energy storage resources through shared energy storage operators. Then, a two-objective optimization model considering the state of distribution network is constructed. The game between distribution network and shared energy storage power station is completed based on the concept of multi-objective optimization, and the power consumption expectation is met based on Euclidean distance method. Finally, simulation based on 33-node distribution system proves the superiority of this paper. The numerical example shows that the proposed method can effectively reduce the operation cost of shared energy storage power station, make the power grid operation more stable, and reduce the cost of electricity consumption.

Key words: shared energy storage, power flow optimization, multi-objective, particle swarm optimization

中图分类号:

F426
TM727

姚军, 陆俊, 廖一璞, 王振宇, 梁恩民, 龚钢军. 考虑配电网状态的共享储能优化运行方法[J]. 湖南电力, 2024, 44(1): 67-76.

YAO Jun, LU Jun, LIAO Yipu, WANG Zhenyu, LIANG Enmin, GONG Gangjun. Optimal Operation Method of Shared Energy Storage Considering Distribution Network State[J]. Hunan Electric Power, 2024, 44(1): 67-76.

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考虑配电网状态的共享储能优化运行方法

Optimal Operation Method of Shared Energy Storage Considering Distribution Network State

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