Multi-objective timing reserve double-layer optimization strategy considering response priority of demand-side response

郭 玥; 王旭阳; 吴艳娟; 柯紫敏; 周泊宇; 宋 钰

doi:10.3969/j.issn.1009-1831.2025.05.008

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Multi-objective timing reserve double-layer optimization strategy considering response priority of demand-side response

更新时间：2026-03-05

- Multi-objective timing reserve double-layer optimization strategy considering response priority of demand-side response
- Vol. 27, Issue 5, (2025)
- 作者机构：
  
  1. 国网经济技术研究院有限公司,北京,102209
  2. 天津理工大学电气工程与自动化学院,天津,300384
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.05.008
  CLC：
- Published：2025
- 稿件说明：
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郭玥, 王旭阳, 吴艳娟, et al. Multi-objective timing reserve double-layer optimization strategy considering response priority of demand-side response[J]. 2025, 27(5).
DOI：

郭玥, 王旭阳, 吴艳娟, et al. Multi-objective timing reserve double-layer optimization strategy considering response priority of demand-side response[J]. 2025, 27(5). DOI： 10.3969/j.issn.1009-1831.2025.05.008.

摘要

针对源荷双侧不确定新型电力系统存在的可靠性与灵活性问题，以备用市场为研究对象，考虑源网荷储多类型能源的协调互补特性以及峰谷期电价影响备用成本，提出一种计及源网荷储多元备用响应优先级、以备用运行成本、响应时间和碳排放为优化目标的时序备用双层优化策略。首先，对源网荷储多元备用主体的运行特性进行分析和建模，然后，建立多优化目标的源网荷储多元备用协调的双层优化模型，内层采用层次分析法计算不同优化目标配比下多元备用的时序单位容量响应优先级顺序因子，外层进行不同时段多优化目标最佳配比寻优和获取源网荷储多元备用不同时段投入备用容量的最优配置。最后，以某省电网作为实验算例进行仿真验证，结果表明所提方法能有效降低备用成本、响应时间和碳排放量。

Abstract

In order to solve the problem of reliability and flexibility of new power system with uncertainty on both sides of the source and load

taking reserve market as research object

considering coordination and complementarity characteristics of multiple types of energy sources in source-network-load-storage and impact of electricity price on reserve cost during peak and valley periods

a time series double layer reserve optimization strategy is proposed that considers the response prioritization of source-network-load-storage multi-standby with standby operating costs

response time

and carbon emissions as optimization objectives. Firstly

operation characteristics of each reserve body of source- network-load-storage are analyzed and mathematical models are established. Then

a two-layer optimization model for source-network-load-storage multi-reserve coordination with multiple optimization objectives is built. Hierarchical analysis is used in the inner layer to compute the temporal response order factor of unit-capacity multi-reserve under different optimization objective ratios. The optimal ratio of the multi-optimization objective is searched and the standby capacity optimal allocation of source-network-load-storage multi-reserve for different time periods. Finally

Power grid in a province is used as an experimental example for simulation verification

and the results show that the proposed method can effectively reduce reserve cost

response time and carbon emissions.

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