基于场景生成的构网型储能优化配置技术研究

李明; 亚夏尔吐尔洪; 甫日甫才仁; 郑云平

doi:10.13296/j.1001-1609.hva.2026.08.023

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基于场景生成的构网型储能优化配置技术研究

研究与分析 | 更新时间：2026-08-12

- 基于场景生成的构网型储能优化配置技术研究
- Research on Optimal Configuration of Grid-forming Energy Storage Based on Scenario Generation
- 高压电器 2026年62卷第8期页码：191-202
- 作者机构：
  
  国网新疆电力有限公司电力科学研究院，乌鲁木齐 830000
- 作者简介：
  
  李明（1990—），男，硕士研究生，工程师，主要研究方向为新能源及储能并网运行与检测技术研究（通信作者）（E-mail：hanfenliming07@163. com）。
  亚夏尔·吐尔洪（1994—），男，硕士研究生，高级工程师，研究方向为新能源及储能并网运行、检测技术研究（E-mail ：532130292@qq.com）。
  甫日甫才仁（1995—），男，硕士研究生，工程师，研究方向为新能源及储能并网运行与检测技术研究（E-mail：purvee23@163. com）。
  郑云平（1994—），男，硕士研究生，工程师，研究方向为新能源及储能并网运行与检测技术研究（E-mail：zyp mess@163. com）。
- 基金信息：
  
  2024年国网新疆公司科技项目2024 Science and Technology Project of State Grid Xinjiang Electric Power Co., Ltd.(SGXJDK00XXJS2400110)
- DOI：10.13296/j.1001-1609.hva.2026.08.023
  中图分类号：
- 收稿：2025-12-08，
  
  修回：2026-02-26，
  
  纸质出版：2026-08-16
- 稿件说明：
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李明, 亚夏尔吐尔洪, 甫日甫才仁, 等. 基于场景生成的构网型储能优化配置技术研究[J]. 高压电器, 2026,62(8):191-202.

LI Ming, YAXIAER Tuerhong, FURIFU Cairen, et al. Research on Optimal Configuration of Grid-forming Energy Storage Based on Scenario Generation[J]. High Voltage Apparatus, 2026, 62(8): 191-202.
李明, 亚夏尔吐尔洪, 甫日甫才仁, 等. 基于场景生成的构网型储能优化配置技术研究[J]. 高压电器, 2026,62(8):191-202. DOI： 10.13296/j.1001-1609.hva.2026.08.023.

LI Ming, YAXIAER Tuerhong, FURIFU Cairen, et al. Research on Optimal Configuration of Grid-forming Energy Storage Based on Scenario Generation[J]. High Voltage Apparatus, 2026, 62(8): 191-202. DOI： 10.13296/j.1001-1609.hva.2026.08.023.

摘要

大规模可再生能源例如风电和光伏接入电网，构网型储能作为新兴辅助可再生能源发电的关键技术在电网的削峰填谷等具有较好的应用前景。文中以场景分析为基本理论，以历史发电数据为典型数据生成应用场景。并在应用场景的基础上提出计及时间相关性的场景生成技术，最后提出了构网型储能在不同应用场景下的优化配置方法，建立了储能电池统一寿命模型与考虑多种因素的构网型储能优化配置的综合收益模型，通过算例分析表明基于多场景的期望值模型获得的综合收益比确定场景的收益高，验证了所提方法的有效性。

Abstract

Large scale renewable energy sources such as wind power and photovoltaic are connected to the power grid. Grid-forming energy storage

as a key emerging technology to assist renewable energy power generation

has promising applications in peak shaving and valley filling of the power grid. In this paper

the scenario analysis is taken as the basic theory and historical power generation data as the typical data to generate application scenarios. On the basis of application scenarios

the scenario generation technology that takes into account the time correlation is proposed. Finally

an optimal configuration method for grid-forming energy storage under different application scenarios is proposed.A unified life model of energy storage battery and a comprehensive benefit model for the optimal configuration of grid-forming energy storage considering multiple factors are set up. It is shown through example analysis that the comprehensive benefit obtained by the expected value model based on multiple scenarios is higher than that obtained by the determined scenarios. The effectiveness of the proposed method is verified.

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Keywords

references

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