Economic Optimal Scheduling Of Virtual Power Plants Considering Distributed Photovoltaic Generation

With the increasingly serious energy crisis and environmental pollution,the distributed renewable energy represented by solar energy has become increasingly prominent in the energy structure.As distributed energy has the characteristics of small capacity,intermittency and dispersion,it is difficult to join the power market operation independently.The virtual power plant(VPP)can realize the coordinated and optimized operation of multiple distributed energy sources through different types of distributed energy sources and higher-level software architectures without changing the grid-connected mode of distributed generation and provide a new idea.In this paper,the energy optimization problem with distributed photovoltaic power generation is studied,and an economical optimal dispatching model of virtual power plant based on distributed photovoltaic power generation is established.The specific research contents are as follows:First of all,according to the characteristics of distributed photovoltaic output power,a short-term photovoltaic power predicting model based on Markov chain is established.By analyzing the statistical characteristics of the photovoltaic output power,the relationship between the acquisition granularity and the characteristic statistics is studied to realize the index evaluation of photovoltaic power fluctuation characteristics.A method of particle size calibration of photovoltaic output power collection based on multi-objective genetic algorithm is proposed.The influence of photovoltaic output power prediction accuracy is verified,and the importance of particle size calibration of photovoltaic output power collection is verified.Secondly,under the condition of ultra-short-term forecasting model of photovoltaic output power,the modules of photovoltaic,thermal power,energy storage system and demand response are aggregated to build the basic structure of the VPP.The power output and demand response are regarded as the objective function,a two-level stochastic optimal scheduling model based on VPP is established.In the upper model,on the basis of the recent ultra-short-term forecast value based on Markov chain the user load dispatch plan is given taking the maximum net system revenue as the objective function.In the lower model,on the basis of real-time power data of the the dispatching day,the plan is adjusted in real time taking the minimize of the system operation cost as the objective function.The simulation analysis is carried out in four kinds of application scenarios,and the simulation examples verify the effectiveness of the model.The model proposed in this paper can not only converge with the previous scheduling and the previous scheduling,but also reduce the penalty cost of the system and improve the operating profit of VPP.Finally,the application platform of economical optimal dispatching model of VPP considering distributed photovoltaic generation was developed using Matlab GUI,and compiled into an independent executable file.The software has good versatility and interactivity,and can be used for economic optimization analysis of VPP with different distributed photovoltaic capacities.