Evaluation Of Power Supply Capacity Of Active Distribution Network Considering Wind And Solar Uncertainty

The difference between active distribution network and traditional distribution network is not only the change of network elements,but also the active management of each element in the network.No matter the addition of new elements or active management,the evaluation model and evaluation scale of power supply capacity have changed significantly compared with that of passive distribution network.It is urgent to consider the influence of random characteristics of source and charge on power supply capacity of distribution network,so as to evaluate the power supply capacity of active distribution network more reasonably.Therefore,this paper takes the active distribution network as the research object,and carries out a research on the power supply capacity assessment taking into account the wind-landscape uncertainty.Specific research contents include:Firstly,the mathematical model of traditional power supply capacity of distribution network,namely LSC model,is established,and the maximum power supply capacity of distribution network is calculated by using repeated power flow method to solve the model.Then,RPF algorithm was used to calculate the objective function and binary particle swarm optimization was used to reconstruct and optimize the distribution network,so as to explore the potential of power supply capacity of the distribution network,and realize the evaluation of the maximum power supply capacity of the passive distribution network and the active distribution network without randomness considering the distribution network reconstruction.Secondly,considering the evaluation model for the processing of DG output too ideal,there is no meter and the source of randomness,in order to solve this problem,the probability of based on estimating method of the three active distribution network power flow calculation method,through the PG&E69 nodes in the distribution network to improve numerical example verification,comparing probability trend based on the Monte Carlo simulation method,The calculation results are consistent and the calculation time is greatly reduced.Finally,the evaluation index of power supply capacity of active distribution network is established and the probabilistic evaluation of power supply capacity of active distribution network considering network reconfiguration is proposed.1)On the basis of considering wind/light uncertainty,the distribution function of DG in active distribution network is used to calculate the expected value of each DG,which is used as an optimization method for the reconstruction of distribution network with deterministic power supply to get the operation mode that is most conducive to power supply capacity.2)In this operation mode,the combination of RPF and three-point estimation method is used to obtain the probability density function of the maximum supply capacity of active distribution network through Cornish-Fisher series expansion.The three-point estimation method and Monte Carlo algorithm are compared to prove the effectiveness of the results,and then the comprehensive,comprehensive and reliable power supply capacity evaluation results of the active distribution network are obtained.