Optimization and Evaluation of Urban Integrated Energy System Based on Game Equilibrium-Multidisciplinary Collaborative Theory

被引：0

作者：

Xie M. ^{[1
,2
]}

Ye J. ^{[1
,2
]}

Liu M. ^{[1
,2
]}

Ning N. ^{[3
]}

Yao L. ^{[3
]}

机构：

[1] School of Electric Power, South China University of Technology, Guangzhou

[2] Guangdong Key Laboratory of Clean Energy Technology, South China University of Technology, Guangzhou

[3] Guian Power Supply Bureau of Guizhou Power Grid Co., Ltd., Guiyang

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 17期

关键词：

flexibility evaluation; game equilibrium; multi-energy flow control degree of freedom; multidisciplinary collaborative optimization; urban integrated energy system;

D O I：

10.7500/AEPS20220115003

中图分类号：

学科分类号：

摘要：

With the continuous access of new energy, the urban integrated energy system presents the characteristics of high coupling and high freedom degree. Using the mutual transformation relationship between different forms of energy, the multi-energy flow collaborative adjustment is realized to improve the energy utilization efficiency. Taking the minimum total operation cost as the system objective function and comprehensively considering the network architecture and operation mode of the urban integrated energy system with power grid as the hub platform, the joint optimal operation model of distributed energy unit, combined cooling, heating and power system, natural gas network and urban distribution network is established. Considering the multi-energy flow control of freedom degree as the multi-energy flow flexibility evaluation index of the urban integrated energy system, the game equilibrium-multidisciplinary collaborative optimization theory is used to establish parallel sub-disciplines from different perspectives to solve the model. This method improves the consistency constraints and sub-discipline objectives on the basis of multidisciplinary collaborative optimization theory, and overcomes the problems of slow convergence and local optimization of multidisciplinary collaborative optimization theory. The feasibility and effectiveness of the proposed model and algorithm are verified by an example of connecting a 4-bus distributed energy unit and a 6-bus combined cooling, heating and power system to a 33-bus urban area distribution network, which is coupled with a 7-bus natural gas network. © 2022 Automation of Electric Power Systems Press. All rights reserved.

引用

页码：102 / 113

页数：11

共 34 条

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