Optimal Configuration Method of Park-level Integrated Energy System Considering Optimal Construction Time Sequence and Cloud Energy Storage

被引：0

作者：

Chen C. ^{[1
]}

Zhang Q. ^{[2
]}

Huang Y. ^{[1
]}

Wang X. ^{[2
]}

Wang D. ^{[2
]}

Yang L. ^{[1
]}

Lin Z. ^{[1
]}

机构：

[1] College of Electrical Engineering, Zhejiang University, Hangzhou

[2] Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 02期

关键词：

Bi-level optimal configuration; Cloud energy storage; Karush-Kuhn-Tucker condition; Optimal construction time sequence; Park-level integrated energy system;

D O I：

10.7500/AEPS20210309007

中图分类号：

学科分类号：

摘要：

Park-level integrated energy system (PIES) is one of the typical applications of multiple energy coupling and supply on user side, whose optimal configuration is of great significance to improve the configuration economy and energy efficiency of PIES. In this context, an optimal configuration method of PIES considering optimal construction time sequence and cloud energy storage is proposed. First, an overview of the mechanism for cloud energy storage and the structure of PIES with cloud energy storage are given, and the set of PIES construction time sequences is analyzed. And then, a bi-level optimal configuration model of PIES considering the optimal construction time sequence and the cloud energy storage is constructed. In the proposed bi-level model, the optimal configuration strategy of PIES is formulated in the upper layer and passed to the lower layer. The optimal scheduling strategy of PIES is obtained in the lower layer according to the optimal configuration strategy of PIES, and the total operation cost of PIES is fed back to the upper layer. Then, the Karush-Kuhn-Tucker (KKT) condition and big-M method are utilized to transform the bi-level optimal configuration model into a single-layer mixed-integer linear programming model, which can be easily solved by the Gurobi solver. Finally, the case studies verify that the proposed model can improve the configuration economy and the equipment utilization of PIES. © 2022 Automation of Electric Power Systems Press.

引用

页码：24 / 32

页数：8

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