Optimal planning and utilisation of existing infrastructure with electric vehicle charging stations

Abstract

In order to address the increased demand for utility with the adoption of electrification in the transport sector, infrastructure development plays an important role. This research helps in planning the optimum utilisation of the existing infrastructure. The planning of electric vehicle (EV) infrastructure is analysed by considering various loads such as (1) static (2) dynamic and (3) heuristic on balanced radial distribution system (BRDS). The introduction of electric vehicle charging station (EVCS) into BRDS increases the total losses. The optimised reconfiguration helps in reducing the losses and ensures increased reliability of the system. The major objective of this process is to minimise both the real power loss and the reliability index energy not supplied of the radial distribution system (RDS) with the placement of charging stations. The planning is accomplished with a single‐step process in which the optimum location of the EVCS along with reconfiguration of BRDS is done using the multiple objective particle swarm optimisation (MOPSO). The performance of the BRDS with the proposed method is elaborated under three scenarios with three internal cases. The proposed methodology is validated through simulation for a three feeder IEEE 16 bus BRDS considering various load scenarios using MATLAB.

Strategies and sustainability in fast charging station deployment for electric vehicles

“…The problem formulation modeling may be complicated to include several dynamics related to FCS’s electrical behaviors, such as voltage profile, power losses, load fluctuations, harmonics distortion… etc. 98 – 103 .…”

“…The optimization models aim to find optimal solutions that balance technical, economic, and environmental benefits, ensuring efficient and sustainable operation of the EV charging infrastructure. 99 , 101 , 103 , 108 , 109 .…”

Special transformer sharing mode: Utilizing special transformers of buildings to supply power for charging stations

“…When optimizing the operation strategy of the joint station, the operator regulates the charging prices, and the transformer owners adjust the rental prices. Based on this, the particle swarm algorithm [30] for optimization is used, and every particle includes the charging prices of the stations and the rental prices of the transformers. Suppose that a day is divided evenly into 24 periods, then the spatial dimension of the particle search is $$(48 \times {g_1})$$.…”

Loss Minimization of Distribution Systems by Coordinated Operation of Battery and EVs in the Presence of DGs

“…Here, parking lot and capacitor allocation is suggested for congestion management along with reactive power compensation. Te study of [14] research helps in planning the optimum utilization of the existing infrastructure. Te planning of electric vehicle (EV) infrastructure is analyzed by considering various loads such as static, dynamic, and heuristic on balanced radial distribution system (BRDS).…”