A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC

Zhou Bo; Li Erchao

doi:10.19912/j.0254-0096.tynxb.2023-1855

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A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC

更新时间：2025-10-18

- A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC
- Vol. 46, Issue 3, Pages: 189-198(2025)
- 作者机构：
  
  兰州理工大学电气工程与信息工程学院,兰州 730050
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1855
  CLC： TM73
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
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周勃, 李二超. 一种考虑风光不确定性的热电混合共享储能双层优化配置方法[J]. 太阳能学报, 2025, 46(3): 189-198.

Zhou Bo, Li Erchao. A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC[J]. 2025, 46(3): 189-198.
周勃, 李二超. 一种考虑风光不确定性的热电混合共享储能双层优化配置方法[J]. 太阳能学报, 2025, 46(3): 189-198. DOI： 10.19912/j.0254-0096.tynxb.2023-1855.

Zhou Bo, Li Erchao. A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC[J]. 2025, 46(3): 189-198. DOI： 10.19912/j.0254-0096.tynxb.2023-1855.

摘要

针对基于多区域综合能源系统的混合共享储能系统容量优化配置问题开展研究。首先

建立含混合共享储能的多区域综合能源系统总体架构

并阐述各主体的收益途径及交互模式;其次

针对区域综合能源系统提出一种考虑负荷侧电-热-冷耦合转换的综合需求响应机制;在此基础上

提出双层优化配置模型

其中上层模型以热电混合共享储能系统年运行成本最优为目标

下层模型以多区域综合能源系统年运行成本最优为目标;同时

针对下层优化模型中存在的风光出力不确定性的问题

将其转变为一类含时变参数的动态鲁棒优化问题

并提出一种基于特征变化引导的时域鲁棒优化算法（PCCG-ROOT）对问题进行求解。算例仿真结果表明所提双层优化配置算法能够合理配置混合共享储能系统的额定容量及运行功率。

Abstract

In this paper

the capacity optimization configuration of hybrid shared energy storage system based on multi-area integrated energy system is studied. Firstly

the overall architecture of multi-regional integrated energy system with hybrid shared energy storage is established

and the income approach and interaction mode of each subject are expounded. Secondly

an integrated demand response mechanism considering the load-side electricity-heat-cooling coupling conversion is proposed for the regional integrated energy system. On this basis

a bi-level optimal configuration model is proposed

in which the upper model aims at the optimal annual operating cost of the thermoelectric hybrid shared energy storage system

and the lower model aims at the optimal annual operating cost of the multi-regional integrated energy system. Meanwhile

aiming at the uncertainty of wind and solar output in the lower-level optimization model

it is transformed into a dynamic robust optimization problem with time-varying parameters

and a robust optimization over time algorithm based on problem characteristic change guidance （PCCG-ROOT） is proposed to solve the problem. The simulation results show that the proposed bi-level optimal configuration algorithm can reasonably configure the rated capacity and operating power of the hybrid shared energy storage system.

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