Analysis of Unbalanced Cost in Real-time Market Settlement Based on Agent-based Model Simulation

Peibo SUN; Ming ZHOU; Lei ZHANG; Zhaoyuan WU; Jianxiao WANG; Gengyin LI

doi:10.7500/AEPS20210425007

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Analysis of Unbalanced Cost in Real-time Market Settlement Based on Agent-based Model Simulation

Engineering Application | 更新时间：2025-06-16

- Analysis of Unbalanced Cost in Real-time Market Settlement Based on Agent-based Model Simulation
- Automation of Electric Power Systems Vol. 46, Issue 5, Pages: 171-178(2022)
- 作者机构：
  
  新能源电力系统国家重点实验室（华北电力大学），北京市 102206
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U1866204)
- DOI：10.7500/AEPS20210425007
  CLC：
- Received：25 April 2021，
  
  Revised：2021-09-08，
  
  Published Online：14 October 2021，
  
  Published：10 March 2022
- 稿件说明：
移动端阅览
孙培博,周明,张磊等.基于ABM仿真的实时市场结算不平衡费用分析[J].电力系统自动化,2022,46(5):171-178.

SUN Peibo,ZHOU Ming,ZHANG Lei,et al.Analysis of Unbalanced Cost in Real-time Market Settlement Based on Agent-based Model Simulation[J].Automation of Electric Power Systems,2022,46(5):171-178.
孙培博,周明,张磊等.基于ABM仿真的实时市场结算不平衡费用分析[J].电力系统自动化,2022,46(5):171-178. DOI： 10.7500/AEPS20210425007.

SUN Peibo,ZHOU Ming,ZHANG Lei,et al.Analysis of Unbalanced Cost in Real-time Market Settlement Based on Agent-based Model Simulation[J].Automation of Electric Power Systems,2022,46(5):171-178. DOI： 10.7500/AEPS20210425007.

摘要

随着中国电力市场改革进程的深化，首批电力现货试点地区陆续完成了按现货价格结算的工作。然而在实际结算过程中出现了大量结算不平衡费用，影响了市场的公平和效率。如何在市场设计阶段充分预估结算不平衡费用从而降低市场风险、提高市场效率是市场设计者需要重点关注的方向。文中从实时平衡市场中结算机制及市场主体交互行为的角度开展结算不平衡费用仿真分析。首先，提取与结算不平衡费用紧密联系的平衡市场要素。然后，基于主体代理模型(ABM)仿真方法建立平衡市场仿真模型，市场主体采用强化学习算法制定参与市场交易的交互策略。最后，通过算例详细分析了平衡服务提供商策略行为、不平衡结算价格机制和新能源免考核区间对结算不平衡费用的影响。

Abstract

With the deepening of China’s electricity market reform process

the first batch of spot electricity pilot areas have completed the work of spot price settlement. However

in the actual settlement process

there is a large number of unbalanced settlement cost

which affects the fairness and efficiency of the market. How to fully estimate the unbalanced settlement cost in the market design stage to reduce the market risk and improve the market efficiency is the direction that market designers need to focus on. The simulation analysis of unbalanced settlement cost is carried out from the perspective of the settlement mechanism in the real-time balancing market and the interaction behavior of market subjects. Firstly

the balancing market elements closely related to the unbalanced settlement cost are extracted. Then

the simulation model of balancing market is built based on agent-based model (ABM) simulation method. The interaction strategy for participating in market transactions is formulated by market subjects using reinforcement learning algorithm. Finally

the impact of the strategic behavior of the balancing service provider

the unbalanced settlement price mechanism

and the tolerance margin of renewable energy on the unbalanced settlement cost is analyzed through the cases.

关键词

Keywords

references

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