Research on large-scale renewable energy efficient aggregation based on virtual power plant operation method
In order to improve the grid connected efficiency of large-scale renewable energy and reduce the impact on traditional power grid,this paper studies the method of aggregating distributed renewable energy and energy storage stations into virtual power plants.By describing the feasible operation domain after aggregation,peak shaving and load filling can be realized,and fossil energy consumption and envi-ronmental pollution can be reduced.A virtual power plant flexible polymerization method based on Minkowski sum and convex cell edge detection is proposed.Based on Multiple Objective Particle Swarm Optimization(MOPSO)algorithm,A set of objective functions was established considering both conventional unit operation constraints and energy conservation and capacity constraints of energy storage power station.The multi-objective optimization problem of optimal output of multi-type units and charge and discharge sequence of the distributed energy storage was solved,and the unit commitment optimization with virtual power plant was realized.Furthermore,wind power plant and distributed energy storage are added into the standard case of IEEE-11 units for simulation verification.The calculation results show that the virtual power plant scheme based on MOPSO optimization has significant effects on renewable energy accommodation,operation cost reduction and fossil energy saving.
renewable energy resourcesvirtual power plantdistributed energy storageaggregate equivalence
万方数据
维普
