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计及合作联盟的园区综合能源系统随机优化及收益分配模型
作者:
作者单位:

华北电力大学经济与管理学院,北京市 102206

摘要:

为了兼顾系统经济和环境效益,对耦合清洁能源机组的园区综合能源系统的研究具有重要意义。首先,计及外部备用系统、用户和园区综合能源系统等三大主体,设计了各主体达成合作联盟的途径。然后,在考虑清洁能源不确定性的基础上,构建了独立和合作2种运营模式下的园区综合能源系统随机优化模型。进而为稳定三方合作,体现不同主体对联盟收益的贡献,构建了基于改进Shapley值法的收益分配模型。最后,选取中国北方某一工业园区为对象进行仿真分析,验证了所提模型的有效性。

关键词:

基金项目:

国家自然科学基金资助项目(71573084)。

通信作者:

作者简介:

杨莘博(1995—),女,博士研究生,主要研究方向:电力市场、综合能源系统、能源经济与管理。E-mail:ysbo@ncepu.edu.cn
谭忠富(1964—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力市场、能源经济、综合能源系统。E-mail:tzhf@ncepu.edu.cn
林宏宇(1996—),男,硕士研究生,主要研究方向:电力市场、能源经济、综合能源系统。E-mail:hone@ncepu.edu.cn


Stochastic Optimization and Income Allocation Model for Park Integrated Energy System Considering Cooperation Alliance
Author:
Affiliation:

School of Economics and Management, North China Electric Power University, Beijing 102206, China

Abstract:

In order to balance system economic and environmental benefits, it is of great significance to study park integrated energy system (PIES) where clean energy units are incorporated. Firstly, considering the three main entities including external backup system, park users and PIES, the way for each entity to achieve cooperation alliance is designed. Secondly, a stochastic optimization model for PIES with independent and cooperative operation modes is constructed considering the uncertainty of clean energy. Thirdly, in order to stabilize the tripartite cooperation and reflect the contribution of different entities to the alliance income, an income allocation model based on the improved Shapley value method is constructed. Finally, a simulation analysis is carried out with a certain industrial park in Northern China as the research object to verify the effectiveness of the proposed model.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 71573084).
引用本文
[1]杨莘博,谭忠富,林宏宇,等.计及合作联盟的园区综合能源系统随机优化及收益分配模型[J].电力系统自动化,2020,44(19):36-46. DOI:10.7500/AEPS20200218009.
YANG Shenbo, TAN Zhongfu, LIN Hongyu, et al. Stochastic Optimization and Income Allocation Model for Park Integrated Energy System Considering Cooperation Alliance[J]. Automation of Electric Power Systems, 2020, 44(19):36-46. DOI:10.7500/AEPS20200218009.
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  • 收稿日期:2020-02-18
  • 最后修改日期:2020-06-12
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  • 在线发布日期: 2020-10-15
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