Optimal sizing and allocation of solar based distributed generation and wireless charging station for transportation electrification

Decarbonizing the grid unlocks EVs’ environmental benefits by leveraging renewable energy. DGs like solar minimize losses and defer network upgrades. Additionally, challenges associated with EVs, such as charging infrastructure and range anxiety, can be conveniently addressed through Wireless Charging Stations (WCS). This manuscript introduces a novel planning model for the allocation of WCSs based on DGs with an aggressor-based approach. A Mixed-Integer Non-Linear Program (MINLP) is formulated to optimize the allocation process. Probabilistic models are developed to accurately represent the stochastic behaviour of WCSs, residential loads, and DGs. The proposed model takes into account the cost and revenue components of both WCSs and solar-based DGs. Furthermore, a distinct distribution network is depicted on a geographical map to illustrate the connectivity of the network within the urban area while considering practical constraints for the installation of WCSs and solar-based DGs at each bus location. A new scoring scheme incorporating geographical aspects is presented to estimate the demand for WCS locations for EV riders. This scoring scheme aims to maximize revenue for investors by ensuring the installation of solar-based WCSs. The results demonstrate the financial viability and effectiveness of solar-based WCSs from a revenue perspective.