Research On The Optimal Configuration Of DSTATCOM With Distributed Generator And Electric Vehicles

The situation of energy crisis,air pollution and greenhouse effect is severe,which seriously affects the production and life of human beings.Thus,it is urgent to develop and utilize new energy.With the support of national policies,the distributed energy resources(DER)represented by distributed generator(DG)and electric vehicles(EV)are developing vigorously due to the clean and non emission.After large-scale grid connection of DER,reversal of power flow,voltage fluctuation and system voltage collapse may occur due to uncertain output.The probabilistic power flow method is used to quantify the random output of DER,which can effectively analyze the impact of random output on the distribution network.Connecting the reactive power compensation device to compensate the system power can effectively reduce the series of problems caused by the grid connection of distributed energy.DSTATCOM,a static synchronous reactive power compensation generator in distribution network,has been widely studied and applied for its smooth output of reactive power and satisfying the random output characteristics of distributed energy.While,the compensation performance of DSTATCOM is closely related to the installation node,and the installation capacity directly determines the investment cost of DSTATCOM.The operation strategy of DSTATCOM directly affects the real-time performance of the system.Therefore,it is a vital task to optimize the location and capacity of DSTATCOM and reactive power optimization to maximize its compensation performance and ensure the safe and economic operation of the system.In this paper,2m + 1 point estimation method is used to calculate the power flow of the distribution network including distributed wind power,distributed photovoltaic and electric vehicles,to analyze the impact of random output on the node voltage of the distribution network.The optimal allocation model of DSTATCOM is constructed with the objective function of active power loss,voltage deviation and the minimum total investment cost,and the node voltage as the main constraint condition.Considering that the optimal allocation problem is a non convex,nonlinear multi-objective optimization problem,this paper proposes an improved multi-objective differential grey wolf optimization(MODEGWO)based on the grey wolf optimization(GWO)which has fast convergence speed and strong search ability.Taking IEEE 33 node system as an example,the model is simulated and analyzed,and the configuration scheme of DSTATCOM is proposed.The results verify the accuracy and effectiveness of the proposed model and the excellent performance of the algorithm.Finally,considering the actual situation of the parallel capacitor bank(CB)installed in the distribution network,this paper establishes the joint coordination reactive power optimization model of DSTATCOM and CB,solves the model by improving the multi-objective algorithm,and puts forward the dynamic operation strategy of DSTATCOM and CB in the whole day.The results verify the feasibility and accuracy of the proposed model.