面向多场景调节需求的集中式共享储能鲁棒优化配置

doi:10.19595/j.cnki.1000-6753.tces.220726

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摘要

随着高比例新能源电力系统的发展,源网荷不同场景下对储能的需求与日俱增。该文提出一种面向多场景调节需求的集中式共享储能鲁棒优化配置模型。首先,设计了兼顾协调电源侧出力计划和参与电网侧调频的共享储能运营模式,给出了共享储能在不同场景调节需求下的运行策略;然后,考虑源网储的联合出力约束与动态频率约束,同时对发电与用电不确定性采用精确概率分布的鲁棒理论进行分析,建立了考虑随机变量极端偏差情况下的集中式共享储能鲁棒优化配置模型;最后,以修改后的IEEE 39节点对所构建模型进行仿真分析,讨论了影响容量配置模型经济性与鲁棒性的关键因素,验证了该文所提优化共享储能配置模型的有效性。

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关键词 ：集中式共享储能, 容量优化配置, 多场景调节需求, 源网荷不确定性

Abstract：

With the continuous development of the high proportion new energy power system, the demand for energy storage under different scenarios of source network load is increasing day by day. A robust optimal allocation model of centralized shared energy storage for multi-scenario regulation demand is proposed. Firstly, the operation mode of shared energy storage is designed, which takes into account the coordination of the power supply side output plan and participation in power grid side frequency modulation. The operation strategy of shared energy storage under multi-scenario regulation demand is given. Secondly, considering the joint output constraint and dynamic frequency constraint of source network storage, and describing the uncertainty of power generation and consumption by using the robust theory of accurate probability distribution, a robust optimal allocation model of centralized shared energy storage considering the extreme deviation of random variables is established. Finally, the modified IEEE 39 node is used to simulate and analyze the constructed model, and the key factors affecting the economy and robustness of the capacity allocation model are further discussed to verify the effectiveness of the optimal allocation model proposed in this paper.

Key words： Centralized shared energy storage capacity optimization configuration multi-scenario regulation demand source-load uncertainty

收稿日期: 2022-05-04

PACS:

TM910

基金资助:

国家自然科学基金（52077109）和青海省科技成果转化专项（2021-GX-109）资助项目

通讯作者: 陈来军男,1984年生,教授,硕士生导师,研究方向为新能源发电与储能技术。E-mail：chenlaijun@qhu.edu.cn

作者简介: 杜锡力男,1998年生,硕士研究生,研究方向为共享储能的优化配置。E-mail：duxl1017@foxmail.com

引用本文:

杜锡力, 李笑竹, 陈来军, 郝艺博, 梅生伟. 面向多场景调节需求的集中式共享储能鲁棒优化配置[J]. 电工技术学报, 2022, 37(23): 5911-5921. Du Xili, Li Xiaozhu, Chen Laijun, Hao Yibo, Mei Shengwei. Robust and Optimized Configuration of Centralized Shared Energy Storage for Multi-Scenario Regulation Demand. Transactions of China Electrotechnical Society, 2022, 37(23): 5911-5921.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.220726 https://dgjsxb.ces-transaction.com/CN/Y2022/V37/I23/5911

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