Optimal allocation ofEVcharging spots along with capacitors in smart distribution network for congestion management

被引:25
|
作者
Sachan, Sulabh [1 ]
Amini, M. Hadi [2 ]
机构
[1] Mahatma Jyotiba Phule Rohilkhand Univ, Fac Engn & Technol, Dept Elect Engn, Bareilly, Uttar Pradesh, India
[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
关键词
biogeography based optimization; electric vehicles; parking lots; vehicle-to-grid (V2G); ELECTRIC VEHICLES; PARKING LOTS; SYSTEM; GENERATION; ENERGY;
D O I
10.1002/2050-7038.12507
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Rapid growth of electric vehicles (EVs) has necessitated the devolvement of sustainable and easily accessible charging stations. Transport sector electrification and increased popularity of EVs make researcher to search for charging stations. In this paper, a new methodology regarding electric vehicle charging spot is proposed. In the study, allocation of the parking lot and capacitor is suggested for congestion management along with reactive power compensation. To this end, sensitivity analysis is performed by evaluating the inverse Jacobian matrix from the power flow studies. In order to optimally determine the size of parking lot, biogeography-based optimization (BBO) technique is adopted. The effectiveness of the anticipated technique is tested on adapted IEEE 34-bus distribution network. The outcome attained by BBO technique is equated with particle swarm optimization.
引用
收藏
页数:14
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