Research on system optimization scheduling considering multi energy conversion and demand response

王佳颖; 陆春光; 严华江; 石 坤

doi:10.3969/j.issn.1009-1831.2025.01.005

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Research on system optimization scheduling considering multi energy conversion and demand response

更新时间：2026-03-05

- Research on system optimization scheduling considering multi energy conversion and demand response
- Vol. 27, Issue 1, (2025)
- 作者机构：
  
  1. 国网浙江省电力有限公司营销服务中心,杭州,311121
  2. 中国电力科学研究院有限公司,北京,100192
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.01.005
  CLC：
- Published：2025
- 稿件说明：
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王佳颖, 陆春光, 严华江, et al. Research on system optimization scheduling considering multi energy conversion and demand response[J]. 2025, 27(1).
DOI：

王佳颖, 陆春光, 严华江, et al. Research on system optimization scheduling considering multi energy conversion and demand response[J]. 2025, 27(1). DOI： 10.3969/j.issn.1009-1831.2025.01.005.

摘要

多能转换以及电力需求响应是提高能源利用率、减轻系统供能压力、平衡供需两侧的有效途径。考虑多能转换的电力需求响应技术

针对系统中多种能源的相互转换相互替代

结合价格型电力需求响应

来提高系统的供能能力、平抑负荷侧波动、促进系统对风光的消纳。首先

对能源输入、多能转换、多能储能等环节的相关设备进行线性化建模

建立电力负荷多能转换的统一模型

分析由此形成的电能存储特性；其次

基于峰谷分时电价

建立可削减、可转移、可替代3种负荷模型；最后

考虑系统运行的4大约束条件

以系统运行综合成本最低为目标函数

研究考虑多能转换电力需求响应对系统运行的优化作用

通过Yalmip建模语言建模

并调用Cplex求解器进行求解。以目标函数最优求解结果作为依据

来验证模型的有效性与可行性

可以进一步减少系统运行成本

最大限度提升电力系统消纳风电能力。

Abstract

Multi-energy conversion and power demand response are effective ways to improve energy utilization

reduce system energy supply pressure

and balance supply and demand. Power demand response technology considers multi-energy conversion

aiming at the mutual conversion and substitution of multiple energy sources in the system

combined with price-based power demand response

to improve the energy supply capacity of the system

stabilize the load side fluctuation

and promote the system to eliminate wind and solar energy. First

linearize the modeling of related equipment in energy input

multi-energy conversion

multi-energy storage and other links a unified model for multi- energy conversion of electrical loads is proposed

and the resulting electrical energy storage characteristics are analyzed. Second

based on the peak-valley time-of-use electricity price

establish three load models that can be reduced

transferable

and replaceable. Finally

considering the four constraints of system operation

taking the lowest comprehensive cost of system operation as the objective function

the optimization effect of multi-energy conversion power demand response on system operation is studied

modeled by Yalmip modeling language

and Cplex solver is called to solve. Based on the optimal solution result of the objective function

the validity and feasibility of the model in this thesis are verified

which can further reduce the operating cost of the system and maximize the ability of the power system to absorb wind power.

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