Robust Optimal Scheduling of Virtual Power Plants Considering Travel Rules of Electric Vehicles
The uncertainty of wind power and the randomness of electric vehicle travel will affect the safe and economic operation of the power grid.The probability distribution of wind speed is considered to generate the uncertainty interval of wind power output,and Monte Carlo sampling is used to simulate the travel status of electric vehicles.Scheduling electric vehicles for orderly charging and discharging through discharge subsidies and charging compensation measures,taking into account the constraints of the operation of each unit and the travel law of electric vehicles.A robust optimization model with the objective function of minimizing the operating cost of a virtual power plant is constructed.The worst case in different scenarios is considered to perform equivalent model conversion,and Gurobi is called to solve the model.By analyzing the results of the calculation example,it is proved that the optimized strategy obtained by the solution can significantly improve the economy and safety of the virtual power plant operation,the model is reliable for restraining the fluctuation of wind power output.
Virtual power plantwind power generationelectric vehiclesMonte Carlorobust optimization
万方数据
维普
