Multi-energy dispatching for uncertainty EV demand: A simulation approach

Uncertainty and randomness in demand supply bring significant challenges to the stable operation of grid scheduling planning multi-energy sources. To solve these challenges, we propose analyze a dispatching model which minimizes total cost enhances efficiency supplying power. Specifically, design matching algorithms that simulate an appropriately scaled sequence stochastic EV demand. We also four different energy scenarios proving synergistic microgrid structure can higher lower costs. Our main contribution is using simulation approach take EVs into account for demand-side uncertainty, significantly improves dispatch.