面向区域互联系统的储能调峰分层优化调度策略

马伟; 杨志豪; 汤伟; 李克成; 徐斌; 陶以彬; 谢毓广

doi:10.19799/j.cnki.2095-4239.2025.1006

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面向区域互联系统的储能调峰分层优化调度策略

储能系统与工程 | 更新时间：2026-04-29

- 面向区域互联系统的储能调峰分层优化调度策略
- A hierarchically optimized dispatch strategy for energy storage peak shaving in regionally interconnected power systems
- 储能科学与技术 2026年15卷第4期页码：1292-1301
- 作者机构：
  
  1.国网安徽省电力有限公司电力科学研究院，安徽合肥 230601
  2.中国电力科学研究院有限公司，北京 100192
- 作者简介：
  
  马伟（1992—），男，博士，高级工程师，研究方向为新能源与储能等技术，E-mail：16117385@bjtu.edu.cn；
  李克成，高级工程师，研究方向为新能源与储能优化调度，E-mail：likechengjun@163.com。
- 基金信息：
  
  国网安徽省电力有限公司科技项目(B31205240011)
- DOI：10.19799/j.cnki.2095-4239.2025.1006
  中图分类号： TM 73
- 收稿：2025-11-05，
  
  修回：2025-12-15，
  
  纸质出版：2026-04-28
- 稿件说明：
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马伟, 杨志豪, 汤伟, 等. 面向区域互联系统的储能调峰分层优化调度策略[J]. 储能科学与技术, 2026, 15(4): 1292-1301.

MA Wei, YANG Zhihao, TANG Wei, et al. A hierarchically optimized dispatch strategy for energy storage peak shaving in regionally interconnected power systems[J]. Energy Storage Science and Technology, 2026, 15(4): 1292-1301.
马伟, 杨志豪, 汤伟, 等. 面向区域互联系统的储能调峰分层优化调度策略[J]. 储能科学与技术, 2026, 15(4): 1292-1301. DOI： 10.19799/j.cnki.2095-4239.2025.1006.

MA Wei, YANG Zhihao, TANG Wei, et al. A hierarchically optimized dispatch strategy for energy storage peak shaving in regionally interconnected power systems[J]. Energy Storage Science and Technology, 2026, 15(4): 1292-1301. DOI： 10.19799/j.cnki.2095-4239.2025.1006.

摘要

针对区域间调峰资源失衡及跨层级调度的目标冲突问题，考虑网-省协同调度的电力系统特性及储能系统调峰优势，本研究提出一种面向区域互联系统的储能调峰分层优化调度策略。首先，基于二层规划模型构建区域电能互联系统调度架构，通过联络线功率协同与储能调度实现调峰资源的时空互补。其次，建立含储能区域互联系统的双层调峰优化模型，上层模型基于两区域的全局信息负责省间调峰资源的协调，以系统净负荷波动和运行成本最小为目标，协调优化调峰火电机组、储能充放电功率及区域联络线计划出力；下层模型接收上层指令作为约束，负责省内储能电站间功率分配，以本省储能调度净收益最大为目标，计及储能寿命退化成本和充放电经济权重分配系数优化各储能协同调度。而后，采用改进灰狼优化算法和混合整数线性规划方法分别求解上下层模型，实现了二者的协同优化。最后，以两个区域互联系统为例进行仿真分析，结果表明所提策略可将负荷峰谷差率从18.87%降低至10.26%，进而有效改善区域负荷特性，提高系统整体效益及储能电站的收益。

Abstract

To address the imbalance of interregional peak-shaving resources and conflicting objectives in cross-level dispatch

this study formulates a hierarchical optimal dispatch strategy for energy storage peak shaving in regionally interconnected power systems. The model considers the characteristics of grid-province coordinated dispatch and the peak-shaving advantages of energy storage systems. First

a regional power interconnection dispatch mode is constructed based on a bilevel programming model to achieve spatiotemporal complementarity of peak-shaving resources through coordinated tie-line power and energy storage scheduling. Second

a bilevel peak-shaving optimization model incorporating energy storage is established. The upper-layer model

based on global information from two regions

coordinates interprovincial peak-shaving resources with the objective of minimizing system net load fluctuations and operating costs. It optimizes the coordinated dispatch of peak-shaving thermal units

energy storage charging and discharging power

and planned tie-line power exchanges. The lower-layer model receives upper-level instructions as constraints and allocates power among energy storage stations within a province

aiming to maximize the net revenue of provincial energy storage dispatch while considering energy storage lifespan degradation costs and the economic weight distribution coefficient for charging and discharging. Subsequently

the Improved Grey Wolf Optimization algorithm and the Mixed-Integer Linear Programming method are employed to solve the model and achieve collaborative optimization. Finally

simulation analysis is conducted on a two-region interconnected power system. The results indicate that the proposed strategy reduces the load peak-valley difference rate from 18.87% to 10.26%

effectively improving regional load characteristics

enhancing overall system efficiency

and increasing the revenue of energy storage power stations.

关键词

Keywords

references

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