Electric Vacherie' optimization using non-linear programmin

This code optimize the sequence of charging in electric vehicles station using NLP

In the current study, we propose a full scenario for an EVS with a maximum of 14 EVs at peak hours. Multiple charging methodologies have been provided including DC constant current constant voltage, DC multi-stage constant currents and AC 120/240 V. Over and above, four various Photovoltaic/grid integration scenarios have been introduced seeking for the optimum EVS operation concerning; Levelized cost of energy, charging time and capacity. Finally, two charging schemes have been demonstrated, targeting a minimum total charging time as well as queuing delay, where the water cycle optimization technique has been enrolled in parallel with nonlinear programing. A significant reduction in the total charging time, nearly 90%, has been reached with respect to the overnight in-home AC charging time.