Distributed Optimization of Power Grid Considering Dispatching of Electric Vehicle Battery Swapping Stations and Data Storage of Blockchain

被引：0

作者：

Wang G. ^{[1
]}

Yang J. ^{[1
]}

Wang S. ^{[1
]}

Duan L. ^{[1
]}

Zhang J. ^{[2
]}

Wu Y. ^{[3
]}

机构：

[1] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai

[2] Economic and Technological Research Institute of State Grid Shanxi, Taiyuan

[3] State Grid Shanxi Electric Power Company, Taiyuan

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 08期

基金：

国家重点研发计划;

关键词：

Data storage of blockchain; Distributed optimization; Dynamic constraint set; Electric vehicle battery swapping station; Electricity price guidance; Vehicle-to-grid (V2G);

D O I：

10.7500/AEPS20180214011

中图分类号：

学科分类号：

摘要：

With the rapid growth of electric vehicles and the development of active distribution networks, the dispatching optimization of power systems containing electric vehicles is increasingly important. In this paper, a three levels distributed algorithm including the dispatching optimization of electric vehicle battery swapping stations is proposed. When compared with traditional centralized algorithms, this distributed algorithm is more suitable for modern power systems with dispersed layouts. On this basis, a data storage of blockchain and consensus mechanism for this model is constructed to guarantee tamper resistance and traceability of all the historical data. In addition, a vehicle-to-grid (V2G) pricing model for electric vehicle battery swapping stations is proposed, which can accurately guide the V2G behaviors of electric vehicle battery swapping stations. For potential line congestions during the optimization process, a dynamic constraint set method is used to revise the optimization results. Finally, a 15-node test system is built to verify the applicability of the model in power systems with a distributed layout. © 2019 Automation of Electric Power Systems Press.

引用

页码：110 / 116and182

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