含广义储能的综合能源系统优化运行方法研究

吴迪; 徐俊涛; 杜四鹏; 吴天航; 刘志坚; 李桂强

doi:doi:10.19912/j.0254-0096.tynxb.2024-2123

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含广义储能的综合能源系统优化运行方法研究

更新时间：2026-07-22

- 含广义储能的综合能源系统优化运行方法研究
- Vol. 47, Issue 4, Pages: 511-524(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-2123
  CLC： TK01
- Online First：08 May 2026，
  
  Published：2026
- 稿件说明：
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吴迪, 徐俊涛, 杜四鹏, et al. 含广义储能的综合能源系统优化运行方法研究[J]. 2026, 47(4): 511-524.
DOI：

吴迪, 徐俊涛, 杜四鹏, et al. 含广义储能的综合能源系统优化运行方法研究[J]. 2026, 47(4): 511-524. DOI： doi:10.19912/j.0254-0096.tynxb.2024-2123.

摘要

该文建立一个包含供给侧实体储能、需求响应、车网互动（V2G）电动汽车的综合能源系统架构。针对由多类型建筑物组成的园区进行供能

并以系统总运行成本最低为目标

对含广义储能的综合能源系统进行运行参数优化。进一步研究结合不同类型广义储能的综合能源系统供能特点与运行特性

分析实体储能与需求响应之间的能量耦合关系及运行结果关联关系。结果表明

冬季、夏季典型日的总运行成本较无储能的综合能源系统分别降低了23.96%和55.90%

实体储能与需求响应可使系统总运行成本降低约18.69%与52.36%。需求响应可使冬季典型日电负荷峰谷差率从98.41%降低至78.26%

在夏季典型日电负荷峰谷差率从94.80%降低至93.24%。该方法解决了复杂能源系统设备类型多样、调控参数复杂以及优化运行难度大等问题

为复杂综合能源系统优化设计提供了理论基础。

Abstract

This paper constructs an integrated energy system framework that includes supply-side physical energy storage

demand response

and Vehicle-to-Grid （V2G） electric vehicles. The framework is designed to supply energy to communities composed of multiple types of buildings

with the objective of minimizing the total system operating cost. The operational parameters of the integrated energy system with generalized energy storage are been optimized accordingly. Furthermore

this study investigates the energy supply characteristics and operational features of the integrated energy system integrated with different types of generalized energy storage

and analyzes the energy coupling relationship between physical energy storage and demand response

as well as the correlation between operational outcomes. The results indicate that the total operational costs for typical winter and summer days are reduced by 23.96% and 55.90%

respectively

compared to an integrated energy system without energy storage. The integration of physical energy storage and demand response can lead to a reduction in the total system operating cost by approximately 18.69% and 52.36%

respectively. Demand response reduces the peak-valley difference rate of electricity load on typical winter days from 98.41% to 78.26%

and on typical summer days from 94.80% to 93.24%. This method tackles challenges in complex energy systems

such as diverse equipment types

complex control parameters

and difficult operational optimization. It also offers a theoretical foundation for optimizing complex integrated energy systems.

关键词

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