考虑不同需求弹性的爬坡辅助服务市场出清模型

赵越; 蔡秋娜; 王龙; 戴晓娟; 王泽林; 邹文滔

doi:10.7500/AEPS20221124005

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考虑不同需求弹性的爬坡辅助服务市场出清模型

学术研究 | 更新时间：2025-06-16

- 考虑不同需求弹性的爬坡辅助服务市场出清模型
- Clearing Model for Ramping Ancillary Service Market Considering Various Demand Elasticities
- 电力系统自动化 2024年48卷第5期页码：48-57
- 作者机构：
  
  1.广东电网有限责任公司电力调度控制中心，广东省广州市 510600
  2.北京清能互联科技有限公司，北京市 100080
- 作者简介：
  
  赵越（1989—），男，博士，工程师，主要研究方向：电力调度、电力市场。E-mail：zhaoyue165@126.com
  蔡秋娜（1987—），女，硕士，高级工程师，主要研究方向：电力调度、电力市场。E-mail：caiqiuna@gd.csg.cn
  王龙（1991—），男，硕士，工程师，主要研究方向：电力调度、电力市场。E-mail：wanglong@gd.csg.cn
  戴晓娟（1988—），女，通信作者，硕士，工程师，主要研究方向：电力市场、电力调度。E-mail：xiaojuandai@sina.cn
- 基金信息：
  
  广东省重点领域研发计划资助项目(2019B111109002)
- DOI：10.7500/AEPS20221124005
  中图分类号：
- 收稿：2022-11-24，
  
  修回：2023-06-09，
  
  纸质出版：2024-03-10
- 稿件说明：
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赵越,蔡秋娜,王龙等.考虑不同需求弹性的爬坡辅助服务市场出清模型[J].电力系统自动化,2024,48(5):48-57.

ZHAO Yue,CAI Qiuna,WANG Long,et al.Clearing Model for Ramping Ancillary Service Market Considering Various Demand Elasticities[J].Automation of Electric Power Systems,2024,48(5):48-57.
赵越,蔡秋娜,王龙等.考虑不同需求弹性的爬坡辅助服务市场出清模型[J].电力系统自动化,2024,48(5):48-57. DOI： 10.7500/AEPS20221124005.

ZHAO Yue,CAI Qiuna,WANG Long,et al.Clearing Model for Ramping Ancillary Service Market Considering Various Demand Elasticities[J].Automation of Electric Power Systems,2024,48(5):48-57. DOI： 10.7500/AEPS20221124005.

摘要

在新型电力系统建设背景下，高比例新能源出力间歇性和波动性给电网稳定和安全运行带来新的挑战，而提高电力系统灵活爬坡能力是应对新能源挑战的重要手段。为此，基于不同弹性的爬坡需求曲线，构建爬坡辅助服务市场出清模型，通过爬坡辅助服务市场激励灵活性爬坡资源建设，提升电力系统灵活爬坡能力。考虑不同区间的爬坡容量对电力系统的价值有所不同，建立不同需求弹性的爬坡需求曲线计算模型。在此基础上，设计了3种考虑不同爬坡需求弹性的爬坡与电能量市场联合出清模型，分析了这3种模型的爬坡影子价格定价方式及出清结果。构建算例展示弹性需求曲线计算方法及流程，基于IEEE 39节点系统对3种爬坡市场出清模型进行仿真分析。结果表明，增加爬坡需求弹性可提高系统整体运行的经济性。

Abstract

In the context of new power system construction

the intermittent and fluctuating output of high proportion of renewable energy brings new challenges to the stable and secure operation of power grids. However

improving the flexible ramping capability of power systems is an important means to cope with the challenges of renewable energy. Therefore

a clearing model for ramping ancillary service markets based on the ramping demand curves with different elasticities is proposed to stimulate the construction of flexible ramping resources through the ramping ancillary service market

and the flexible ramping capability of the power system is enhanced. The calculation model for ramping demand curves with different demand elasticities is established considering that the value of ramping capacity to power systems varies in different intervals. On this basis

three joint clearing models for the ramping and electric energy market considering the different ramping demand elasticities are designed

and the pricing methods for the ramping shadow price and the clearing results of the three models are analyzed. A case is constructed to demonstrate the calculation method and process of the elastic demand curves

and the simulation analysis of the three ramping market clearing models is conducted based on the IEEE 39-bus system. The results show that increasing the ramping demand elasticity can improve the overall operation economy of systems.

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references

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