Abstract
Electric vehicle (EV) plays an important role to escape from environmental issues like increasing air pollution and limited stock of fossil fuel. EVs run on an electric motor, which is powered by its onboard rechargeable battery. EVs need a charging station to fulfil the energy demand of the battery. Recently, the penetration of EVs is increasing drastically in the modern power system. Therefore, the optimal planning of the electric vehicle charging stations (EVCSs) is necessary. The charging stations should maintain the power system parameters as well as it should provide services to the maximum EV users, which is a challenging job to the system planning engineers. However, the environmental benefits of EVs cannot be achieved if renewable energy resources are not incorporated into the system. The renewable-based distributed generation (DG) also helps to reduce the losses and improve the voltage profile of the system. Therefore, the distribution system with the charging stations must be renewably supported. However, the flow of EVs and generation from renewables are uncertain which is a matter of concern. This chapter describes the available planning for EVCSs in different distribution networks along with their methodologies. The results are also analyzed with their merits and demerits. The results of differenttypes of literature review show that the optimal allocation of charging stations helps to reduce the power loss of the distribution system as well asthe installation cost. Optimal allocation of DG contributes to additional power loss minimization. Moreover, technical information and specifications about EV and its charging infrastructure are presented in this chapter. The uncertain attributes associated with EV and DG are described. Also, the steps of different established methods to handle uncertainties are explained in this chapter.
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Abbreviations
- EV:
-
Electric vehicle
- EVCS:
-
Electric vehicle charging station
- DG:
-
Distributed generation
- PEM:
-
Point estimation method
- IC:
-
Internal combustion
- EM:
-
Electric motor
- HEV:
-
Hybrid electric vehicle
- PHEV:
-
Plug-in hybrid electric vehicle
- BEV:
-
Battery electric vehicle
- BSS:
-
Battery swapping station
- G2V:
-
Grid to vehicle
- V2G:
-
Vehicle to grid
- SOC:
-
State of charge
- STD:
-
Subsequent trip distance
- AER:
-
All-electric range
- MCS:
-
Monte-carlo simulation
- RES:
-
Renewable energy source
- BES:
-
Battery energy storage
- PV:
-
Photovoltaic
- MT:
-
Micro turbine
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Pal, A., Bhattacharya, A., Chakraborty, A.K. (2022). Planning of Electric Vehicle Charging Station with Integration of Renewables in Distribution Network. In: Bohre, A.K., Chaturvedi, P., Kolhe, M.L., Singh, S.N. (eds) Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid. Energy Systems in Electrical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-0979-5_10
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