Clearing Model for Ramping Ancillary Service Market Considering Multiple Stochastic Delivering Scenarios

GUAN Jinyu; WANG Delin; CHANG Li; CAO Rongzhang; LI Lili

doi:10.7500/AEPS20241025004

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Clearing Model for Ramping Ancillary Service Market Considering Multiple Stochastic Delivering Scenarios

Engineering Application | 更新时间：2026-02-28

- Clearing Model for Ramping Ancillary Service Market Considering Multiple Stochastic Delivering Scenarios
- Automation of Electric Power Systems Vol. 49, Issue 23, Pages: 186-197(2025)
- 作者机构：
  
  1.国网电力科学研究院有限公司（南瑞集团有限公司），江苏省南京市211106
  2.国电南瑞南京控制系统有限公司，江苏省南京市 211106
  3.国家电网有限公司国家电力调度控制中心，北京市100031
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China(5108-202455056A-1-1-ZN)
- DOI：10.7500/AEPS20241025004
  CLC：
- Received：25 October 2024，
  
  Revised：2025-03-03，
  
  Online First：06 May 2025，
  
  Published：10 December 2025
- 稿件说明：
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管金昱,王德林,昌力等.考虑多随机交付场景的爬坡辅助服务市场出清模型[J].电力系统自动化,2025,49(23):186-197.

GUAN Jinyu,WANG Delin,CHANG Li,et al.Clearing Model for Ramping Ancillary Service Market Considering Multiple Stochastic Delivering Scenarios[J].Automation of Electric Power Systems,2025,49(23):186-197.
管金昱,王德林,昌力等.考虑多随机交付场景的爬坡辅助服务市场出清模型[J].电力系统自动化,2025,49(23):186-197. DOI： 10.7500/AEPS20241025004.

GUAN Jinyu,WANG Delin,CHANG Li,et al.Clearing Model for Ramping Ancillary Service Market Considering Multiple Stochastic Delivering Scenarios[J].Automation of Electric Power Systems,2025,49(23):186-197. DOI： 10.7500/AEPS20241025004.

摘要

提升系统爬坡能力是应对新能源高比例接入下超短期供需平衡问题的重要手段，爬坡辅助服务市场已成为爬坡资源优化配置的重要途径。保障预留爬坡容量的可交付性，降低爬坡采购成本，提升市场整体运营效率，是未来爬坡辅助服务市场精细化运营所面临的关键问题。美国中部独立系统运营商（MISO）与美国加州独立系统运营商（CAISO）先后针对爬坡可交付性问题开展了探索性的研究与实践，但依然存在交付场景设置单一、交付率提升有限、多目标优化冲突等问题。为此，文中提出了考虑多随机交付场景的爬坡辅助服务市场出清模型。通过设置多随机交付场景，构建柔性可交付性约束，解决爬坡采购充裕性与可交付性冲突的问题，实现了爬坡辅助服务市场多优化目标出清的平衡可控，并扩展了爬坡节点边际价格的内涵。基于某省级电力实时市场算例分析验证了所提出清模型的有效性。所提出多随机交付场景有助于提升爬坡交付率和采购效率，降低市场价格。

Abstract

Enhancing the ramping capability of power systems is a crucial measure to address the short-term supply-demand balance issues under a high proportion of renewable energy integration. The ramping ancillary service market has become an important pathway for the optimal allocation of ramping resources. Ensuring the deliverability of reserved ramping capacity

reducing the costs of ramping procurement

and improving the overall operational efficiency of markets are key problems for the future refined operation of ramping ancillary service markets. The Midcontinent Independent System Operator (MISO) in the central United States and California Independent System Operator (CAISO) in the United States have successively conducted the preliminary research and practice on ramping deliverability issues

but problems such as rigid settings of delivering scenarios

limited improvement in delivering rate

and conflicts in multi-objective optimization still exist. Therefore

a clearing model for ramping ancillary service market considering multiple stochastic delivering scenarios is proposed. By setting multiple stochastic delivering scenarios and constructing flexible deliverability constraints

the conflict problems between the adequacy and deliverability of ramping procurement are resolved

achieving the balance and controllability of the multi-objective clearing of the ramping ancillary service market

and extending the connotation of ramping nodal marginal prices. Based on the case analysis of a provincial-level real-time electricity market

the effectiveness of the proposed clearing model is verified. The proposed multiple stochastic delivering scenarios can help improve the ramping delivering ratio and procurement efficiency

reducing the clearing price.

关键词

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references

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