Study on Quantity Planning of Charging Piles Considering Multi-objective Constraints

被引：0
作者：
Fang Z. [1 ]
Zhang J. [1 ,2 ]
Sun Y. [1 ]
Chen S. [1 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan, 430072, Hubei Province
[2] Qingdao Academy of Intelligent Industries, Qingdao, 266109, Shandong Province
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 02期
关键词：
Charging pile; Distributed photovoltaic; Electric vehicle; Programming model; Unbalanced supply and demand;
D O I：
10.13335/j.1000-3673.pst.2019.0359
中图分类号：
学科分类号：
摘要：
Most current studies on charging pile planning methods lack consideration of electric vehicle (EV) optimal scheduling capability, and the utilization rate of a large schedulable capacity is very low. In order to reduce the idle rate of charging piles and promote the distributed photovoltaic absorption capacity of the system, this paper proposes a quantity planning model of charging piles with reasonable application of EV optimal dispatching capacity. This model combines equipment cost and charge-discharge loss to propose a charging pile planning method to assist regional power network to configure an appropriate number of charging piles. Firstly, a detailed EV and charging-discharging model of energy storage equipment is constructed, with the objective function of minimizing the imbalance between supply and demand of the system and comprehensive economic cost. Finally, particle swarm optimization algorithm is used to solve the charge and discharge power of EV cluster and energy storage equipment successively. When EV cluster adjustment capacity is insufficient or limited, energy storage equipment is used for supplementary adjustment. A simulation example verifies effectiveness of the proposed programming model. © 2020, Power System Technology Press. All right reserved.
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页码：704 / 710
页数：6
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