In this thesis an effort has been made to find the optimal size and location of DG for an unbalanced system. In this work, cost minimization and emission minimization has been emphasized while satisfying the microgrid constraints.

This case study highlights that a judicious approach to siting ensures funds for public projects are used efficiently, efforts are not duplicated, and regulators account for siting considerations when planning for charging infrastructure.

Increasing the fleet of electric vehicles (EV) and charging infrastructure in India are key to improving air quality in cities, enhancing energy security by reducing dependence on imported crude oil, and fighting climate change. India aims to have at least 30 percent of new vehicle sales be electric by 2030 and could potentially have 102 million EVs on the road.

. This paper presents an extensive literature review of EVs and allied interface technology with the power grid. The main findings and statistical details are drawn from up-to-date publications highlighting the latest technological advancements, limitations, and potential future market development.

The essence of this study is to cover the main components of the EV, the needed infrastructure, and investigate the impacts of the high insertion in the power systems.

This study aims at forecasting the number of batteries due to be collected yearly from 2020 to 2050 in Catalonia (Northeast Spain).

This research aims to investigate charging facilities planning for electric transit systems under the BOT model. As transit electrification is conducted in a gradual manner, the authors consider the planning under a multistage setting.

The study recommends that systematic study and support in the creation of EV charging Infrastructure (EVCI) would benefit the commodity haulage services while optimizing electricity grid impact and revenue maximization.

This paper investigates the influence of driving in intense traffic conditions while considering the ambient temperature and driving behavior on BEV energy efficiency in a field study.

The authors contribute by collecting a large dataset with matching GPS tracks, booking data and survey data for more than 500 travellers, and by estimating a first choice model between eight transport modes, including shared e-scooters, shared e-bikes, personal e-scooters, and personal e-bikes.