Research On Optimal Scheduling Of Virtual Power Plants With Multiple Energy Types And Operators

The virtual power plant can effectively integrate the distributed resources of different regions and reduce the influence of the rapid growth of distributed resources on the safe and reliable operation of the power grid by coordinating and optimizing the control.At present,there is not enough research on the optimal scheduling of virtual power plants with multiple operators or multiple energy sources and uncertainties.In order to make up for the deficiencies of existing studies,this paper studies the optimal scheduling method of virtual power plants with multiple energy types and multiple operators.The main work is as follows:(1)Based on the development trend of the virtual power plant,the architecture and dispatching mode of virtual power plant with multiple energy sources and operators are analyzed.The communication architecture of a virtual power plant is constructed to realize the interconnection and management of various intelligent terminals.The interactive dispatching mode of the source side and load side of virtual power plant with multiple energy sources and multiple operators is established,which provides ideas for good interaction between operators and the dispatching center of the virtual power plant,and realizes the coordinated control of multiple energy sources within the control scope.(2)A bi-level multi-time scale scheduling method based on bidding for the multioperator virtual power plant is proposed to provide a framework for solving the interest distribution between operators and optimal scheduling problems of the multiple-operator virtual power plant.The upper layer uses the bidding method to reasonably allocate the operator’s power generation and form the internal power price of the virtual power plant.The lower layer establishes a multi-time scale optimal scheduling method that includes a dispatch model and adjustment strategy and considers the impact of demand response based on the internal electricity price on the adjustment strategy.Simulation results show that the proposed method can realize the optimal distribution of operators’ power generation and reduce the impact of uncertainty on dispatching results.(3)A two-stage robust stochastic optimal scheduling method is proposed for a virtual power plant with multiple energy sources in consideration of the uncertainties of the external environment and the source and load sides.The method uses a radix uncertain set with adjustable robust coefficients to describe the output of renewable energy and establishes a two-stage robust stochastic optimization model.The original problem is decomposed into the main problem and the sub-problem by using the column constrained generation algorithm,and the dual transformation theory and the big M method are applied to transform and solve iteratively.The effectiveness of the proposed model and algorithm is verified by simulation analysis.