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基于周交易框架的源荷互动市场机制

胡江溢 李宛洳 王建学 肖云鹏 徐泰山 王秀丽

电力系统自动化2025,Vol.49Issue(6):47-55,9.
电力系统自动化2025,Vol.49Issue(6):47-55,9.DOI:10.7500/AEPS20240424001

基于周交易框架的源荷互动市场机制

Market Mechanism for Source-Load Interaction Based on Weekly-trading Framework

胡江溢 1李宛洳 2王建学 2肖云鹏 2徐泰山 3王秀丽2

作者信息

  • 1. 国网重庆市电力公司,重庆市 400014
  • 2. 西安交通大学电气工程学院,陕西省 西安市 710049
  • 3. 电网运行风险防御技术与装备全国重点实验室,江苏省 南京市 211106||国电南瑞科技股份有限公司,江苏省 南京市 211106
  • 折叠

摘要

Abstract

The variation of renewable energy power output and loads often exhibit spatio-temporal asymmetry.Designing a reasonable market mechanism to promote source-load interaction is an important direction for the development of electricity market.On the basis of analyzing the existing load adjustment characteristics and operation characteristics of power resources,the necessity of establishing interactive market based on weekly-trading framework is discussed,and a source-load interactive market mechanism based on a weekly-trading framework is proposed.The mechanism divides the day-ahead electric power energy market into the weekly time-scale electric power energy market and the day-ahead electric power energy regulating market for clearing in two phases.The mechanism promotes source-load interaction by announcing electricity price signals in advance,introducing demand side bidding,adopting call auction in the trading declaration stage,and designing reasonable connection and information transmission between various electricity markets.Furthermore,the trading cycle,trading submission form,trading modes,and pricing mechanisms of the weekly time-scale electric power energy market and the day-ahead electric power energy regulating market are designed in detail.Finally,the feasibility of the proposed mechanisms is verified through case analysis.

关键词

电力市场/源荷互动/电能量市场/多时间尺度

Key words

electricity market/source-load interaction/electric power energy market/multi-time scale

引用本文复制引用

胡江溢,李宛洳,王建学,肖云鹏,徐泰山,王秀丽..基于周交易框架的源荷互动市场机制[J].电力系统自动化,2025,49(6):47-55,9.

基金项目

江苏省自然科学基金资助项目"高维不确定性电力系统安全防御前沿基础理论与方法"(BK20222003). This work is supported by Jiangsu Provincial Natural Science Foundation of China(No.BK20222003). (BK20222003)

电力系统自动化

OA北大核心

1000-1026

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