Research on optimal Operation of Multi-integrated Energy System Considering Multiple Uncertainties and P2P Transaction Mode&nbsp;

YU Na; YUAN Zhihao; HUANG Dawei; CHANG Yingjie#br#<div>	#br#</div>

doi:10.19718/j.issn.1005-2992.2025-02-0093-11

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Research on optimal Operation of Multi-integrated Energy System Considering Multiple Uncertainties and P2P Transaction Mode

更新时间：2025-10-16

- Research on optimal Operation of Multi-integrated Energy System Considering Multiple Uncertainties and P2P Transaction Mode
- Journal of Northeast Electric Power University Vol. 45, Issue 2, (2025)
- 作者机构：
  
  1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学）,吉林,吉林,132012
  2. 中国石化集团胜利石油管理局有限公司新能源开发中心,山东,东营,257000
- 作者简介：
- 基金信息：
- DOI：10.19718/j.issn.1005-2992.2025-02-0093-11
  CLC：
- Published Online：30 April 2025，
  
  Published：2025
- 稿件说明：
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YU Na, YUAN Zhihao, HUANG Dawei, et al. Research on optimal Operation of Multi-integrated Energy System Considering Multiple Uncertainties and P2P Transaction Mode [J]. Journal of northeast electric power university, 2025, 45(2).
DOI：

YU Na, YUAN Zhihao, HUANG Dawei, et al. Research on optimal Operation of Multi-integrated Energy System Considering Multiple Uncertainties and P2P Transaction Mode [J]. Journal of northeast electric power university, 2025, 45(2). DOI： 10.19718/j.issn.1005-2992.2025-02-0093-11.

摘要

随着能源系统互联化和能源交易市场化的高度发展，通过多综合能源系统（Multi-Integrated Energy System

MIES）的区域互联使综合能源系统（Integrated Energy System

IES）的能源利用率更高效、经济收益更可观。首先，文中构建多能源市场背景下的MES合作联盟的能量共享架构，建立MIES之间的电能和备用点对点（Point To Point，P2P）交易模型；其次，对新能源出力的不确定性，电价及备用价格波动风险进行分析，文中采用条件风险价值（Conditional Value-at-Risk

CVaR）理论，构建风险成本函数，并将其纳入综合运行成本模型；最后，选择交替方向乘子法（Alternating Direction Method Of Multipliers

ADMM）进行分布式求解，并通过算例分析验证模型的正确性与合理性，实现ME$运行成本的最小化和支付收益最大化，体现不同条件风险厌恶系数对MIES的影响。

Abstract

With the high development of energysystem interconnection and energy transaction marketization

the regional interconnection of Multi-Integrated Energy System（MIES）makes the energy utilization efficiency of Integrated Energy System （IES）more efficient and the economic benefits more considerable.Firstly

this paper constructs the energy sharing architecture of MIES cooperation alliance under the background of multi-energy market

and establishes the power and backup point to point （P2P）transaction model between MIES.Secondly

the uncertainty of new energy output

the risk of electricity price and reserve price fluctuation are analyzed.In this paper

the conditional value-at-risk （CVaR）theory is used to construct the risk cost function and incorporate it into the comprehensive operation cost model.Finally

the Alternating Direction Method of Multipliers （ADMM）is selected for distributed solution

and the correctness and rationality of the model are verified by an example analysis.The minimization of MIES operating cost and the maximization of payment income are realized

which reflects the influence of different conditional risk aversion coefficients on MIES.

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