短流程钢企参与高比例可再生能源系统调峰控制方法

李军徽; 张炯; 范田振; 王顺江; 李翠萍; 朱星旭

doi:10.19912/j.0254-0096.tynxb.2025-0654

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短流程钢企参与高比例可再生能源系统调峰控制方法

更新时间：2026-10-15

- 短流程钢企参与高比例可再生能源系统调峰控制方法
- Vol. 47, Issue 9, Pages: 448-459(2026)
- 作者机构：
- 作者简介：
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- DOI：10.19912/j.0254-0096.tynxb.2025-0654
  CLC： TM732
- Online First：10 October 2026，
  
  Published：2026
- 稿件说明：
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李军徽, 张炯, 范田振, et al. 短流程钢企参与高比例可再生能源系统调峰控制方法[J]. 2026, 47(9): 448-459.
DOI：

李军徽, 张炯, 范田振, et al. 短流程钢企参与高比例可再生能源系统调峰控制方法[J]. 2026, 47(9): 448-459. DOI： 10.19912/j.0254-0096.tynxb.2025-0654.

摘要

针对短流程钢企参与含高比例可再生能源电力系统调峰时源荷互动机制不清导致系统调峰效果受限的问题

提出一种短流程钢企参与电力系统调峰的优化控制方法。首先

设计融合短流程钢企生产负荷的可再生能源系统调峰架构

依据负荷调控特性构建分级响应模型。其次

基于电网需求发布、企业响应求解及聚合商信息交互的非合作博弈过程

兼顾高比例可再生能源电力系统中电网调峰需求与企业生产用电制定电价与激励双信号响应机制。最后

构建源荷双层经济调度模型

分层迭代求解并达成源荷利益均衡。仿真结果表明

该方法可降低负荷峰谷差2.74%

提升电网可再生能源消纳5.53%

同时降低企业综合用电成本17.72%

可显著提高企业响应积极性进而改善电网调峰效果。

Abstract

In order to solve the problem that the source-load interaction mechanism is unclear when short-process steel enterprises participate in peak regulation of power system with high proportion of renewable energy

resulting in the limited effect of system peak regulation

an optimal control method for short-process steel enterprises to participate in power system peak regulation is proposed. Firstly

the peak regulation architecture of the renewable energy system integrating the production load of short-process steel enterprises is designed

and a hierarchical response model is constructed according to the load regulation characteristics. Secondly

based on the non-cooperative game process of grid demand release

enterprise response solution and aggregator information interaction

the dual signal response mechanism of electricity price and incentive is formulated

taking into account power grid peak regulation demand and enterprise production electricity consumption in the high proportion of renewable energy power system. Finally

a two-layer economic scheduling model of source and load is constructed

and the model is solved through hierarchical iterative and the balance of source and load interests is achieved. The simulation results show that the proposed method can reduce the peak-to-valley difference of load by 2.74%

increase the renewable energy accommodation of the power grid by 5.53%

and reduce the comprehensive electricity cost of enterprises by 17.72%

which significantly improves the response enthusiasm of enterprises and improves the peak regulation effect of the power grid.

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