Research On The Optimal Dispatching Strategy Of New Energy Distribution Network With Energy Storage And Fast Charging Station

Energy storage device can effectively alleviate the low voltage of distribution network nodes caused by overload of fast charging station.At the same time,it can also solve the problems of distribution network power flow changing from one-way to two-way,reverse power flow and high voltage of access nodes,which are caused by randomness and uncertainty of the output of new energy sources such as photovoltaic power plants.Traditional distribution network dispatching strategy does not take into account that photovoltaic power plants,energy storage devices and fast charging stations are connected to the distribution network at the same time,which cannot optimize the dispatching result of the new energy distribution network.Therefore,it is of great practical significance to study the optimal scheduling strategy of new energy distribution network with energy storage and fast charging stations.In this thesis,two scheduling strategies are studied: global centralized optimal scheduling of new energy distribution networks with energy storage and fast charging stations and distributed optimal scheduling among new energy distribution networks with energy storage and fast charging stations.The main research work is as follows:In order to make up for the deficiency that network loss cost and voltage deviation penalty cost are not considered at the same time,in the study of global centralized optimal scheduling strategy of new energy distribution network with energy storage and fast charging stations,a global centralized optimal scheduling model is established with the objective function of minimizing the power purchase cost of main network,network loss cost and voltage deviation penalty cost.The model is linearized by the second-order cone programming method and the large M method,solved by the Cplex solver.An example simulation is carried out based on the modified IEEE 33-bus system,and the effectiveness of the studied global centralized optimal scheduling strategy is verified from three dimensions: peak load regulation,voltage regulation and economy.In order to improve management efficiency and reduce network loss,a distributed optimal scheduling strategy among new energy distribution networks with energy storage and fast charging stations is studied.Firstly,the distribution network is clustered by genetic algorithm and community analysis method,taking the modularity degree considering the electrical distance as the dividing index.Secondly,on the basis of cluster division,a distributed optimal scheduling model among clusters is established by using bi-level programming.The upper-level planning takes clusters as the unit and takes the minimum cost of electricity purchase in the main network as the objective function.In the lower layer,nodes are taken as the unit,the minimum network loss cost and voltage deviation penalty cost are taken as the objective function.Taking the modified IEEE 33-bus system as an example,simulation analysis is also made from three aspects of peak shaving,voltage regulation and economy to verify the effectiveness of the distributed optimal scheduling strategy among clusters.