TY - JOUR
T1 - Revolutionizing load management
T2 - A novel technique to diminish the impact of electric vehicle charging stations on the electricity grid
AU - Aggarwal, Surbhi
AU - Kumar Singh, Amit
AU - Singh Rathore, Rajkumar
AU - Bajaj, Mohit
AU - Gupta, Deepak
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/4/27
Y1 - 2024/4/27
N2 - The proliferation of Electric Vehicle Charging Stations (EVCSs) raises challenges for power grids, resulting in increased losses and variations in voltage. The study describes a novel technique for reducing the impact of EVCSs on the electricity grid. Distributed Generators (DGs) are strategically deployed at susceptible nodes. To identify nodes vulnerable to EV charging-induced overloading, the weak bus placement approach is used. DGs are placed at these nodes to increase capacity and maintain grid stability. Contingency analysis is used to simulate the grid's response to various disruptions in order to assess the strategy's efficacy. The study includes 13 EVCSs, each with a 25 MW capacity, located at predetermined load buses. This integration increases the demand from 2,850 MW to 3,175 MW, resulting in 55.65 MW of system losses. Three more DGs, each with a different capacity, contribute to the system losses being effectively reduced to 51.016 MW, which is higher than the base losses of 51.025 MW. This study's main objectives were to: (1) thoroughly evaluate the impact of EVCSs using the Newton-Raphson (NR) load flow; and (2) provide a systematic strategy for addressing the power losses and voltage fluctuations brought on by EVCSs. This approach involves integrating DGs strategically.
AB - The proliferation of Electric Vehicle Charging Stations (EVCSs) raises challenges for power grids, resulting in increased losses and variations in voltage. The study describes a novel technique for reducing the impact of EVCSs on the electricity grid. Distributed Generators (DGs) are strategically deployed at susceptible nodes. To identify nodes vulnerable to EV charging-induced overloading, the weak bus placement approach is used. DGs are placed at these nodes to increase capacity and maintain grid stability. Contingency analysis is used to simulate the grid's response to various disruptions in order to assess the strategy's efficacy. The study includes 13 EVCSs, each with a 25 MW capacity, located at predetermined load buses. This integration increases the demand from 2,850 MW to 3,175 MW, resulting in 55.65 MW of system losses. Three more DGs, each with a different capacity, contribute to the system losses being effectively reduced to 51.016 MW, which is higher than the base losses of 51.025 MW. This study's main objectives were to: (1) thoroughly evaluate the impact of EVCSs using the Newton-Raphson (NR) load flow; and (2) provide a systematic strategy for addressing the power losses and voltage fluctuations brought on by EVCSs. This approach involves integrating DGs strategically.
KW - Distributed generators
KW - Electric vehicles
KW - EV charging stations
KW - Newton-Raphson
KW - Performance index
UR - http://www.scopus.com/inward/record.url?scp=85191578003&partnerID=8YFLogxK
U2 - 10.1016/j.seta.2024.103784
DO - 10.1016/j.seta.2024.103784
M3 - Article
AN - SCOPUS:85191578003
SN - 2213-1388
VL - 65
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 103784
ER -