Research On The Collaborative Scheduling Model Of Distributed Photovoltaic Power Generation And Energy Storage

After many years of development the scale of distributed photovoltaic power generation is becoming larger and larger,showing the characteristics of "distributed,low-voltage access,in-situ absorption".The power generation has the characteristics of randomness.This kind of uncertainty in time will have a certain impact on the distribution network.To large-scale use of wind power,photovoltaic and other distributed power supply,must be combined with the energy storage unit,for the grid can be effectively optimized distributed photovoltaic(pv)power supply for power quality,trend after the grid distribution,the influence of the peak peel etc,for users and can make use of time-sharing electricity prices to create a certain economic benefits,thus has great prospects for development.In order to find the optimal scheduling strategy of energy storage unit,the research work is carried out.Firstly,this paper makes an in-depth study of the research status quo at home and abroad,refers to a large number of relevant literature at home and abroad,studies the optimal scheduling strategy of photovoltaic and energy storage,and determines the research direction and goal of this paper on this basis.In addition,the operating form of the actual photovoltaic power supply and the factors influencing the orutput of photovoltaic power are briefly discussed,and the distributed photovoltaic power generation power prediction model is introduced.Secondly,the capacity configuration and charging and discharging scheduling strategy of energy storage system are studied.Under the condition of reasonable assumption,aiming at energy storage unit in micro network can improve the output peak power quality and cut features,in combination with lime price principle,for optimal scheduling of micro net energy storage unit set up the minimum cost as the expected objective function,and set about energy storage battery remaining power and charging and discharging power constraints.Dynamic programming algorithm is proposed to solve the charging and discharging scheduling problem of energy storage system.The core point of this paper is to convert the example problem into a model that can be calculated by dynamic programming method.Finally,the basic framework of energy storage and peak regulation engineering application system and the distributed photovoltaic micro-grid framework in the park are introduced.Based on this,a simulation example is established to calculate the optimized daily load curve of four seasons,which verifies the effectiveness of the proposed algorithm.The estimated investment return years of lithium battery energy storage power station are calculated according to time-sharing electricity price and charging and discharging power.