Model predictive control considering scenario optimisation for microgrid dispatching with wind power and electric vehicle

For optimal microgrid (MG) operation, one significant challenge is the inherent randomness of renewable energy sources (RESs) within MG should be accommodated by it itself. Here, a robust model predictive control (MPC) by considering scenario optimisation is proposed for MG dispatching to achieve the accommodation of uncertain RES and electricity demand by utilising discharging/charging of electric vehicle (EV) with a certain constraints violation probability of EV allowed. The method is based on the iterated solution, at each step, of a finite‐horizon optimal control that takes into account a suitable number of randomly extracted scenarios of uncertain RES and electricity demand while the economic objective and operational constraints are included. The optimisation of a number of uncertain scenarios embedded in a receding horizon of MPC can provide a probabilistic guarantee of EV constraints satisfaction. Simulation on an MG case is implemented and the results demonstrate that with the proposed control strategy, the coordination between uncertain RES and EV can be achieved to make the MG be controllable as seen from the main grid.