Planning and Design of Regional Multi-energy Stations Considering Electric Vehicle Charging Load Characteristics

被引：0

作者：

Yao Z. ^{[1
]}

Jiang B. ^{[1
]}

Gong C. ^{[2
,3
]}

Wang L. ^{[1
]}

Chen H. ^{[3
]}

Bao J. ^{[4
]}

Zhu G. ^{[5
]}

Wang Z. ^{[6
]}

机构：

[1] State Grid Shanghai Electric Power Company, Pudong New District, Shanghai

[2] College of Electrical Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai

[3] College of Automation Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai

[4] Shanghai Xilong Technology Co., Ltd., Jinshan District, Shanghai

[5] Shanghai Chint Power Co., Ltd., Songjiang District, Shanghai

[6] Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai

来源：

Dianwang Jishu/Power System Technology | 2022年 / 46卷 / 09期

关键词：

double-layer Monte Carlo algorithm; electric vehicle charging load; energy supply range division; integrated energy station; station network collaborative planning;

D O I：

10.13335/j.1000-3673.pst.2022.0688

中图分类号：

学科分类号：

摘要：

The electric vehicle (EV) charging load is usually not considered on the load side in the planning of regional integrated energy stations (IES). With the increasing popularization of EVs, the EV charging load has brought about challenges to the planning and operation of IES. In this regard, this paper proposes a planning and design method for the regional multi-IES that takes into account the charging load characteristics of the EVs. The charging behaviors of the three typical types of vehicles, like private cars, taxis and buses, are quantitatively analyzed, and the EV charging load spatio-temporal model is constructed by combining the travel probability matrix with the double-layer Monte Carlo algorithm. The IES energy supply range division evaluation index and its division method is proposed, Based on the space-time characteristics of the cooling & heating loads, the traditional electric load and the EV charging load, and aiming at the lowest annualized total costs of the regional multi-IES, the equipment capacity configuration and management of the IES are determined and the network layout is selected to optimize the site network collaboratively. Finally, an example analysis is carried out in combination with a certain area to be planned with the MATLAB simulation. The results show that the double-layer Monte Carlo algorithm can simulate the spatio-temporal characteristics of the EV charging loads, which is beneficial to the division and optimization of the energy supply range and realizes the load transfer and evenly distribution on the spatiotemporal scale. At the same time, the economy of the design of the IES equipment and pipe network in the area is improved, verifying the effectiveness of the proposed method. © 2022 Power System Technology Press. All rights reserved.

引用

页码：3304 / 3314

页数：10

共 28 条

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