Research On Optimal Dispatching Of Active Distribution Network Considering Distributed Photovoltaic Generation

With the increase of the penetration rate of photovoltaic power generation in the distribution network,the characteristics of intermittence and fluctuation will have a huge impact on the distribution network scheduling.At the same time,with the development of smart home,the adjustable load as an important demand side response resource gradually participates in the power market scheduling.In order to coordinate and dispatch all kinds of resources in the active distribution network and ensure the safe and economic operation of the active distribution network,it is of great practical significance to study the optimal scheduling of the active distribution network considering the distributed photovoltaic power generation.In view of the optimal scheduling problem of active distribution network considering distributed photovoltaic power generation,the following research was carried out in this paper:A distributed photovoltaic output prediction model based on wavelet transform(WT)and ESN(ESN)was established.Based on cosine similarity and Euclidean distance,the algorithm and determination process of similar day of photovoltaic power generation were proposed.Based on DB4 wavelet basis function,the decomposition and reconstruction method of photovoltaic power was proposed.Further,the approximate and detailed components of photovoltaic power were predicted by ESN,and then the linear superposition was used to build the photovoltaic power prediction method based on WT + ESN.Considering the influence of photovoltaic grid connection on the power supply capacity of distribution network,a time-sharing electricity price time division method based on fuzzy method was proposed;the quantitative method of customer satisfaction was analyzed,and a multi-objective demand side electricity price response model considering customer satisfaction was proposed based on the research of electricity price elasticity matrix.A two-stage optimal day ahead and day inside scheduling method for active distribution network was established,which taked into account the photovoltaic prediction error and demand side response.In the ADN day ahead dispatching model,based on the demand side price response,with the minimum total daily cost of ADN scheduling as the optimal target,the controllable dispatch units such as ADN distributed controllable power supply and battery energy storage could be reasonably implemented.In the ADN day scheduling model,the minimum cost of redispatch of the active distribution network was taken as the optimization objective,including the controllable distributed power source and battery energy storage caused by the PV prediction error.Power adjustment cost,interruptible load compensation cost and default cost of main network power purchase,made full use of the regulation ability of distributed resources of active distribution network,and reduced the incremental scheduling cost of active distribution network caused by photovoltaic prediction error.Based on an example of an improved 33 node active distribution network,it was verified that the proposed two phase optimal dispatching model of active distribution network can solve the problem of poor accuracy of daily dispatching of active distribution network caused by the PV prediction error.It could fully tap the demand side resource regulation capability and achieve ADN safe and economic operation,so as to optimize the active distribution network for the demand side resources.Degree research provides theoretical support.