Optimal allocation of distributed generation and electric vehicle charging stations‐based SPOA 2 B approach

2021 ◽  
Author(s):  
I. Thangaraju
Keyword(s):  
Electric Vehicle ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

Optimal allocation of electric vehicle charging stations in a highway network: Part 2. The Italian case study

2019 ◽  
Vol 26 ◽  
pp. 101015 ◽  
Author(s):  
Giuseppe Napoli ◽  
Antonio Polimeni ◽  
Salvatore Micari ◽  
Giorgio Dispenza ◽  
Vincenzo Antonucci
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Italian Case ◽  
Highway Network ◽  
Vehicle Charging ◽  
Charging Stations

scholarly journals Optimal Network Reconfiguration with Distributed Generation and Electric Vehicle Charging Stations

2021 ◽  
Vol 6 (4) ◽  
pp. 1174-1185
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Distributed Generation ◽  
Network Reconfiguration ◽  
Multi Objective ◽  
Electric Vehicle Charging ◽  
Optimal Network ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Single Objective

This paper proposes an optimal network reconfiguration (ONR) by integrating the renewable energy (RE) based distributed generation (DG) resources, i.e., wind and solar photovoltaic (PV) modules, and electric vehicle charging stations (EVCS). The uncertainties related to renewable energy sources (RESs) are handled by using probability analysis. In this work, wind uncertainty is handled by using Weibull probability density function (PDF), and solar PV uncertainty is modeled by using Beta PDF. This paper also models the load of EVCSs. The ONR is a tool to operate distribution systems (DSs) at optimum cost/loss. In the literature, most of the ONR problems are solved as single objective type. This neccessiate the development of multi-objective based ONR problem and solved using the multi-objective algorithms by considering multiple objectives. Therefore in this paper, total cost of operation and power losses are considered as two objectives functions. The single objective-based ONR is solved using crow search algorithm (CSA) and multi-objective-based ONR is solved using multi-objective-based CSA. As the DS is unbalanced, the power flow for the unbalanced system will include the three-phase transformer. The ONR problem has been solved by considering 17 bus unbalanced and balanced DSs.

scholarly journals Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 196908-196919
Author(s):  
Emad Hadian ◽  
Hamidreza Akbari ◽  
Mehdi Farzinfar ◽  
Seyedamin Saeed
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Smart Charging ◽  
Vehicle Charging ◽  
Charging Stations

Optimal allocation of electric vehicle charging stations in a highway network: Part 1. Methodology and test application

2020 ◽  
Vol 27 ◽  
pp. 101102 ◽  
Author(s):  
Giuseppe Napoli ◽  
Antonio Polimeni ◽  
Salvatore Micari ◽  
Laura Andaloro ◽  
Vincenzo Antonucci
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Test Application ◽  
Highway Network ◽  
Vehicle Charging ◽  
Charging Stations
Sign in / Sign up

Export Citation Format

Share Document