• Sunil Jangid
• Hitesh Saini

The proposed work is projected as how to manage the charging process caused by increased number of EVs. Parking-lot must be designed ensuring of optimal charging scheduling of EV fleet with the primary objective for maximizing profit of PLO. Installation of solar rooftop PV array at work-place provide the key solution of aforementioned challenges. Energy price of grid vary due to load demand on grid and PLO faces price volatility issue. To resolve this issue, PLO computes Quantity Bound (QB) of uncoordinated EV charging load by estimating overlying area. QB indicates higher usage of the available solar generation so that extreme number of EVs are charged over the solar generation and small amount of electricity is drawn at peak hours when price of energy is relatively high. The algorithm used to reduce the dependency on the grid and shift a load of EV fleet from the grid to PV generation that increases the profit of PLO for coordinated charging of EVs by using the solar output from PV array and also reduces the charging cost of EV owners.

Parking-lot operator (PLO), Quantity Bound (QB), Electric vehicle (EV), System Operator (SO)

"Smart Optimal Charging Scheduling of EVs with Rooftop Solar Charging Park ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.203-216, June-2019, Available :http://www.jetir.org/papers/JETIR1908C26.pdf

"Smart Optimal Charging Scheduling of EVs with Rooftop Solar Charging Park ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp203-216, June-2019, Available at : http://www.jetir.org/papers/JETIR1908C26.pdf