Emad Hadian - Department of Electrical Engineering, Yazd Branch, Islamic Azad University
Hamidreza Akbari - Department of Electrical Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
Mehdi Farzinfar - School of Engineering, Damghan University, Damghan
Seyed Amin Saeed - Department of Electrical Engineering, Yazd Branch, Islamic Azad University

Management and control of charging/discharging of Electric vehicles (EVs) with the aim of profitability for the Distribution System Operator (DSO) and the private sector is one of the challenges in operating Electric vehicles Charging Stations (EVCS). This paper proposes a novel methodology for optimal planning of charging/discharging of the hybrid wind- EVCS which on the one hand, lead to correction of the load curve and on the other hand, improves the grid resilience in extreme weather conditions. In the proposed methodology, since the weather-based outages lead to consumer interruptions, the idea of profit-sharing between DSO and EVCS owners is proposed to incentivize the owner to implement the obtained charging/discharging schedule. To this end, firstly, a Monte-Carlo based stochastic framework for forecasting the probability of weather-based line outages and also modelling uncertainties is devised. Then, a resilience-oriented multi-objective optimization algorithm is presented that, while coordinating the operation of the wind turbine, EV management and Demand Response Programs (DRP), the profits of both EVCS and DSO are maximized during daily operation planning. The resiliency improvement of the proposed method is evaluated by using metrics. The obtained optimal results prove the effectiveness of the proposed method in increasing resiliency and benefits for all players.

control of charging/discharging, Electric Vehicle, Multi-objective optimization, extreme weather condition, Resilience