Clearing Algorithm for Peer-to-peer Transactive Energy Market Based on Graph-based Equilibrium Metrics

XIA Yuanxing; XU Qingshan; DING Yixing; XU Yang; LI Shujuan; FANG Jicheng

doi:10.7500/AEPS20231015001

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Clearing Algorithm for Peer-to-peer Transactive Energy Market Based on Graph-based Equilibrium Metrics

Basic Research | 更新时间：2025-06-16

- Clearing Algorithm for Peer-to-peer Transactive Energy Market Based on Graph-based Equilibrium Metrics
- Automation of Electric Power Systems Vol. 48, Issue 19, Pages: 51-59(2024)
- 作者机构：
  
  1.河海大学电气与动力工程学院,江苏省南京市 211100
  2.东南大学电气工程学院,江苏省南京市 210096
  3.南京市应用数学中心,江苏省南京市 211135
  4.南京工业大学电气工程与控制科学学院,江苏省南京市 211816
  5.国网江苏省电力有限公司南京供电公司,江苏省南京市 210019
- 作者简介：
- 基金信息：
  
  Fundamental Research Funds for the Central Universities(B240201140);National Natural Science Foundation of China(U23B20140)
- DOI：10.7500/AEPS20231015001
  CLC：
- Received：15 October 2023，
  
  Revised：2024-02-18，
  
  Published Online：22 March 2024，
  
  Published：10 October 2024
- 稿件说明：
移动端阅览
夏元兴,徐青山,丁逸行等.基于图均衡度的端对端可交易能源市场的出清算法[J].电力系统自动化,2024,48(19):51-59.

XIA Yuanxing,XU Qingshan,DING Yixing,et al.Clearing Algorithm for Peer-to-peer Transactive Energy Market Based on Graph-based Equilibrium Metrics[J].Automation of Electric Power Systems,2024,48(19):51-59.
夏元兴,徐青山,丁逸行等.基于图均衡度的端对端可交易能源市场的出清算法[J].电力系统自动化,2024,48(19):51-59. DOI： 10.7500/AEPS20231015001.

XIA Yuanxing,XU Qingshan,DING Yixing,et al.Clearing Algorithm for Peer-to-peer Transactive Energy Market Based on Graph-based Equilibrium Metrics[J].Automation of Electric Power Systems,2024,48(19):51-59. DOI： 10.7500/AEPS20231015001.

摘要

随着分布式可再生能源在用户侧的渗透率不断提高，端对端可交易能源市场逐渐成为了一种消纳末端电能的有效方式。但是，分布式能源出力波动频繁、位置分散、结构异质，难以统一调度和管理。针对该问题，首先，基于共享出行中的司机-乘客匹配度的概念，提出了一种新的发用电时空间匹配度的衡量指标，用以判断该配电网是否适合实施端对端可交易能源市场。其次，基于该衡量指标建立一种兼顾发用电匹配度和社会效益的市场出清模型，并在端对端可交易能源市场的分布式出清过程中调整电价，以引导更多能源产消者参与市场。最后，使用IEEE 69节点算例验证了所提分布式出清模型的有效性，并通过分析不同交易参数下的市场均衡和发用电匹配度验证了模型在提高新能源本地消纳率上的效果。由仿真结果可知，所提出清算法可有效提高新能源本地消纳率。

Abstract

With the increasing penetration rate of distributed renewable energy on the user side

the peer-to-peer transactive energy market has gradually become an effective way to consume the surplus electricity. However

it is difficult to uniformly schedule and manage the distributed energy due to its frequent output fluctuations

dispersed locations and heterogeneous structures. Aimming at this issue

first

based on the concept of driver-passenger matching degree in the shared travel field

a new measurement index of spatial matching degree for power generation and consumption is proposed

which is used to determine whether the distribution network is suitable for implementing peer-to-peer transactive energy market. Then

based on the measurement index

a market clearing model that takes into account the matching degree of power generation and consumption and social benefits is established

and the electricity price is adjusted in the distributed clearing process of peer-to-peer transactive energy market to guide more energy prosumers to participate in the market. Finally

the effectiveness of the proposed distributed clearing model is verified using an IEEE 69-bus case

and the effectiveness of the model in improving local consumption rate of renewable energy is verified by analyzing market equilibrium and matching degree of power generation and consumption with different transaction parameters. According to the simulation results

the proposed clearing algorithm can effectively improve the local consumption rate of renewable energy.

关键词

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references

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