Research On Economic Scheduling Model Of Distributed Photovoltaic Power System

Distributed photovoltaic power generation is an important technical means to deal with major social problems such as environmental pollution and energy shortage.As its penetration rate in regional distribution networks continues to increase,it is necessary to fully consider the economics of distributed generation systems and how to effectively play a role in improving the power structure.The traditional "spontaneous self-use,surplus power online" scheduling strategy can not meet the above requirements,so the paper takes the solution to the above problems as the main research goal,and completes the economic dispatching model of distributed photovoltaic power generation system.Construct.Firstly,the components of the distributed photovoltaic power generation system are analyzed in depth,and the active power output model of the photovoltaic array is established.The model simulation verification is carried out by taking the typical daylight intensity and ambient temperature as an example.At the same time,Aiming at the important storage unit battery energy storage equipment,the charge and discharge model is constructed.In-depth analysis of the shortcomings of traditional scheduling strategies is done,which lays the foundation for the construction of the subsequent economic dispatch model.Secondly,the factors such as photovoltaic power generation subsidy,electricity sales revenue,electricity purchase cost and system operation and maintenance cost are considered to construct the economic dispatching model.The model selects the max benefit in the scheduling period as objective function,selects system scheduling,power balance,charge and discharge of energy storage devices as restrictions,and selects distribution ratio of remaining power and insufficient power as optimization variable.The improved particle swarm optimization algorithm is used as the model solving algorithm.The simulation analysis of a typical distributed photovoltaic power generation system in Qinhuangdao area is carried out to verify the effectiveness of the model.Finally,considering the influence of the uncertainty of weather factors,two improved models based on direct energy storage method and energy storage assessment method areproposed.The models can solve the quantification problem of energy storage at the end of the dispatching,and can effectively cope with various weathers ensuring that the economic benefits of the system are optimal throughout the scheduling period.The traditional scheduling scheme,the scheduling model without considering the weather factor,the scheduling improvement model based on the direct storage method and the scheduling improvement model based on the energy storage assessment method are simulated and compared,and the advantages and disadvantages of each scheduling scheme are visually displayed.