Load optimization scheduling decision for virtual power plants with distributed energy accessed
Aiming to solve the problems of the variation in load characteristics and the complication in optimization scheduling caused by distributed energy access,the potential role of electric vehicles(EVs)in load optimization scheduling of virtual power plant is discussed.Firstly,the upper and lower bounds of EV charging behavior are defined,and the power and capacity prediction model of EV aggregates is constructed based on the behavior boundary,providing guarantee for the load optimal scheduling of virtual power plants.Considering that EVs have different dynamic response characteristics in power regulation,an EV clustering method based on an improved SOM algorithm is proposed.The Davis-Bouldin index is used to evaluate its clustering result,so as to ensure the accuracy of EV clustering with different power regulation characteristics.Further,considering the adverse effects of wind power and grid-connected EVs,power balance and other constraints,the load optimization scheduling model for virtual power plants is constructed.Finally,the simulation results show that the virtual power plant load optimization scheduling model can ensure the safe operation of power grid,given the circumstances that the capacities of EV aggregates are reasonably allocated.
distributed energyvirtual power plantload optimal schedulingelectric vehiclesmart gridDavies-Bouldin indeximproved SOMintegrated energy
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维普
