Optimal Scheduling Research For Virtual Power Plant Cluster Considering Uncertainty And Deviation Electric Quantity Complementation

Distributed generation has been gradually applied in a large scale due to its characteristics of green environmental protection,flexible,economical,low investment cost under the background of building a clean,low carbon,safe and efficient energy system.The number and permeability of distributed generation show a large and rapid growth trend,but it also increases the complexity and uncertainty of the operation of the power network with disadvantage of small monomer capacity and uneven distribution.As a new energy aggregation and management organization,virtual power plant can manage the distributed units,energy storage systems and controllable loads by the communication technology,so as to participate in the operation and scheduling of the power grid and the exchange of electricity market.As a result,optimal scheduling and short-term market bidding transactions research of virtual power plants under uncertain factors and deviation power complementation strategy can promote renewable energy consumption such as wind and light,and promote the development of energy Internet industry and new round of power system reform in China.Firstly,in view of the uncertainty of wind power output in the single virtual power plant,it is considered that a large number of wind power scenarios are provided by multiple wind energy prediction providers based on different prediction technologies and methods.The virtual power plants respectively formulate the optimal operation plan corresponding to each scenario with the goal of minimizing the expected operating cost.To deal with random large fluctuations in wind conditions,the virtual power plant will consider all the wind power output scenarios in the next period and adjust the operation plan.During this process,some of the controllable units and loads will be rescheduled to produce adjustment operation cost.At the time of decision,the virtual power plant aims at minimizing the total operation cost,and selects the optimal scheduling plan for the next period from multiple operating plans.A flexible Optimal Scheduling model of virtual power plant based on multi wind energy prediction results is constructed.A dispatch strategy based on day-ahead optimization and day rolling is designed.The operation cost of the virtual power plant under different operation plans is compared,and the feasibility of the proposed model is verified.Secondly,in view of the deviation between the actual output of the virtual power plant on the trading day and the day-ahead bidding output,a multi-stage punishment mechanism for electric quantity is introduced.In order to reduce the punishment cost of deviation electric quantity for single virtual power plant in the short term market transaction process,a strategy of deviation electric quantity complementation between virtual power plants is proposed,taking virtual power plant clusters composed of multiple virtual power plants through information interconnection as the research object.The complementary strategy is equivalent to the transfer of electric quantity in multiple virtual power plants in the way of settlement of electricity transfer cost.To a certain extent,it reduces the amount of deviation electric quantity generated by the virtual power plants themselves.The stochastic planning method of multi scenario analysis is applied to deal with the uncertainty of wind power output and electricity price in the in the day-ahead market.The two stage decision optimization model of virtual power plant considering complementary strategy is constructed.The model includes two phases of day-ahead scheduling and intraday optimization decision.The validity and feasibility of the proposed model and method are verified by simulation results.The flexible optimal dispatch model considering the uncertainty of wind power can effectively reduce the adverse effects of weather change and wind prediction error on the operation economy of the system,which is beneficial to improve the capacity of wind power consumption.The optimal decision method for short-term trading of virtual power plant cluster under the complementary strategy of deviation electric quantity can significantly reduce the punishment cost of deviation electric quantity for each virtual power plant in the balanced market and maximize the operating income,and promote the virtual power plant to participate in the competition of the electricity market with the new type of electricity selling main body,and stimulate the vitality of the market.