考虑多种负荷需求响应的综合能源系统优化运行

邹鑫; 陈丹昊; 邹爱孟; 马天男

doi:10.19805/j.cnki.jcspe.2025.230647

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考虑多种负荷需求响应的综合能源系统优化运行

综合能源系统 | 更新时间：2026-02-05

- 考虑多种负荷需求响应的综合能源系统优化运行
- Optimized Operation of Integrated Energy Systems Considering Multiple Load Demand Response
- 动力工程学报 2025年45卷第1期页码：154-164
- 作者机构：
  
  1. 华北电力大学经济管理系,河北,保定,071003
  2. 国网湖北省电力有限公司宜昌供电公司,湖北,宜昌,443002
  3. 国网四川省电力公司经济技术研究院,四川,成都,610041
- 作者简介：
  
  [ "邹鑫(1988—),男,贵州遵义人,副教授,博士,研究方向为优化调度" ]
  [ "陈丹昊(通信作者),男,硕士,E-mail:cdhdyx1999@163.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(72171081);中央高校基本科研业务费专项资金资助项目(2023MS153)
- DOI：10.19805/j.cnki.jcspe.2025.230647
  中图分类号： TK01;TM73
- 网络首发：2025-01-15，
  
  纸质出版：2025
- 稿件说明：
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邹鑫,陈丹昊,邹爱孟,马天男. 考虑多种负荷需求响应的综合能源系统优化运行动力工程学报, 2025, 45(1): 154-164 https://doi.

org/10.19805/j.cnki.jcspe.2025.230647
邹鑫,陈丹昊,邹爱孟,马天男. 考虑多种负荷需求响应的综合能源系统优化运行动力工程学报, 2025, 45(1): 154-164 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230647.

org/10.19805/j.cnki.jcspe.2025.230647 DOI：

摘要

考虑冷热电多种负荷需求响应(Demand response

DR)

引入碳排放成本

并以日总成本最小为目标

构建了一个含先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage

AA-CAES)的冷电热综合能源系统(Integrated cold-electricity-heat energy system

ICEHS)优化运行模型。首先

考虑冷热电3种负荷的需求响应

对AA-CAES产生的电能、热能和冷能进行建模。其次

对源荷不确定性采用拉丁超立方采样与

-means聚类相结合的方法进行处理。最后

以ICEHS购能成本、运维成本、需求响应成本、碳排放成本之和最小为目标函数进行研究。以一个典型的社区综合能源系统作为算例

设置4种典型场景对所提模型的有效性进行验证。结果表明:AA-CAES和DR能有效降低ICEHS成本和碳排放量。

Abstract

An integrated cold-electricity-heat energy system (ICEHS) operation optimization model with advanced adiabatic compressed air energy storage (AA-CAES) was proposed

considering the demand response (DR) of multiple loads including cooling

heating and power

introducing the carbon emission cost

and aiming at minimized total daily cost. Firstly

the cold

heat and power generated by AA-CAES was modeled considering the demand response of the three types of loads. Source-load uncertainty was then generated with combined Latin hypercubic sampling and

-means clustering. Finally

e minimization of the total cost summing the energy purchase cost

operation and maintenance cost

demand response cost

and carbon emission cost of the ICEHS was analyzed. Using a typical community ICEHS as an example

four typical scenarios were set up to verify the effectiveness of the proposed model. Results show that AA-CAES and DR can effectively reduce ICEHS cost and carbon emission.

关键词

Keywords

references

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