Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model

Guoqiang Sun; Jinghong Sun; Sheng Chen; Zhinong Wei; Hangxiang Zang

doi:10.17775/CSEEJPES.2021.03970

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model

Regular Papers | 更新时间：2026-10-15

- Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model
- Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model
- 中国电机工程学会电力与能源系统学报(英文) 2025年11卷第3期页码：1370-1379
- 作者机构：
  
  College of Energy and Electrical Engineering, Hohai University,Nanjing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.03970
  中图分类号：
- 纸质出版：2025-05-01
- 稿件说明：
移动端阅览
Guoqiang Sun, Jinghong Sun, Sheng Chen, 等. Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1370-1379.

Guoqiang Sun, Jinghong Sun, Sheng Chen, et al. Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1370-1379.
Guoqiang Sun, Jinghong Sun, Sheng Chen, 等. Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1370-1379. DOI： 10.17775/CSEEJPES.2021.03970.

Guoqiang Sun, Jinghong Sun, Sheng Chen, et al. Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1370-1379. DOI： 10.17775/CSEEJPES.2021.03970.

摘要

Abstract

The increasing penetration of distributed energy sources in electric power and natural gas distribution networks in recent years has led to a shift from the conventional centralized trading mode to decentralized trading. However

current decentralized energy trading developments

such as those based on the peer-to-peer (P2P) paradigm

have mainly focused on electric power grids

while regional integrated energy systems coupled by multiple energy sources are currently restricted to centralized scheduling generally. This present work addresses this issue by developing a P2P market transaction model for regional integrated energy systems. First

the privacy of each participating agent is preserved by conducting a trade matching process between producers and consumers

and the P2P trading strategy is constructed. Then

the feasibility of the obtained trading strategy is confirmed by the operation center of the regional integrated energy system by conducting collaborative optimization scheduling based on the P2P energy trading results. Moreover

the locational marginal price is employed to calculate the P2P network usage charge. This charge is then equally distributed between producers and consumers to incentivize balanced utilization of the distribution network and ensure equitable benefits from P2P transactions. The effectiveness and superiority of the proposed P2P trading framework are demonstrated based on numerical results obtained for realistic regional integrated electric and natural gas systems.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Real-Time Dispatch via Expert Knowledge Driven Deep Reinforcement Learning

Multi-Objective Optimization for Assessing Tradeoffs Between Energy Sharing and Ancillary Services in Local Energy Communities

Pricing Strategy for Regional Integrated Energy System Considering Privacy Based on Deep Reinforcement Learning

Distributionally Robust Optimization Based Restoration for Integrated Electricity-Gas Systems Incorporating Wind Power and Flexible Reserve Capacity Allocations

Multiple Renewable Short-Circuit Ratio for Assessing Weak System Strength with Inverter-Based Resources