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考虑灵活调节需求的容量市场出清模型与定价方法

瞿颖 肖云鹏 张臣 王秀丽

电力系统自动化2024,Vol.48Issue(11):64-76,13.
电力系统自动化2024,Vol.48Issue(11):64-76,13.DOI:10.7500/AEPS20230206005

考虑灵活调节需求的容量市场出清模型与定价方法

Clearing Model and Pricing Method for Capacity Market Considering Flexible Regulation Requirement

瞿颖 1肖云鹏 1张臣 1王秀丽1

作者信息

  • 1. 西安交通大学电气工程学院,陕西省西安市 710049
  • 折叠

摘要

Abstract

The increase in the proportion of renewable energy has led to a significant increase in the requirement for flexible regulation resources in the power system.However,the traditional capacity market only aims to guarantee the system adequacy during the peak load period.There may still be a shortage of power supply due to insufficient flexible regulation capacity.Therefore,this paper proposes a robust optimal clearing model and a pricing method for the capacity market that considers the flexible regulation requirement.The settlement rules for different resource types are provided.And it is verified that the proposed capacity market pricing mechanism can satisfy the properties of social efficiency,balance of payments,individual rationality,and incentive compatibility.Finally,the IEEE 118-bus system is used for the case study.The results show that the proposed capacity market mechanism can simultaneously guarantee the adequacy of the system to cope with peak load and flexible regulation requirement,reasonably describe the capacity value of flexible regulation resources,and effectively distinguish between the effective capacity contribution of different types of resources and the responsibility of causing flexible regulation requirement,which helps to guide renewable energy units to suppress their output uncertainty fluctuations and incentivize flexible resources to provide capacity to meet system flexible regulation requirement.

关键词

容量市场/电力系统灵活性/定价机制/鲁棒优化/激励相容

Key words

capacity market/power system flexibility/pricing mechanism/robust optimization/incentive compatibility

引用本文复制引用

瞿颖,肖云鹏,张臣,王秀丽..考虑灵活调节需求的容量市场出清模型与定价方法[J].电力系统自动化,2024,48(11):64-76,13.

基金项目

国家重点研发计划资助项目(2022YFB2403200). This work is supported by National Key R&D Program of China(No.2022YFB2403200). (2022YFB2403200)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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