A comprehensive review of methodologies for the optimal allocation of electric vehicle charging stations alongside distributed generation
Mohd Owais Khan, Sheeraz Kirmani, Mohd Rihan
Abstract
The global urgency regarding fossil fuel depletion has spurred advancements in transportation electrification. Apprehensions about fossil fuel shortages and pollution levels have prompted a switch to electric vehicles (EVs) as a reasonable alternative. The proliferation of EVs necessitates the establishment of a robust charging infrastructure, promoting sustainable energy practices. The integration of EVs within transportation networks exerts substantial effects. Consequently, researchers have been motivated to explore the challenges associated with large-scale EV integration. This paper presents a thorough review of EV integration methodologies, objective function formulations, transportation network incorporation, and optimal placement strategies, encompassing both single and multi-objective problem frameworks, as well as sensitivity analysis methods and load modeling uncertainties. Additionally, it classifies various optimization approaches – analytical, traditional, and nature-inspired – by their prevalence, analyzing their respective advantages and limitations, alongside different constraint management techniques. An extensive evaluation of various optimization algorithms is conducted, and future research directions are outlined. This review underscores the necessity for further exploration of emerging intelligent metaheuristic algorithms and the development of practical models for electrical units while addressing uncertainties in load modeling and renewable energy generation.