Research On Optimized Configuration And Optimized Operation Of Distributed Power Sources Considering Active Management

With the rapid development of the society,the human's demand for electrical energy continues to increase.While the traditional thermal power generation exacerbated the increasingly serious energy crisis and environmental problems to a certain extent.All of these problems restrict the progress of society,therefore,changing energy development strategy is imperative.As a new generation method,distributed generation(DG)has the advantages of environment friendliness and flexible control,it is a powerful complement to traditional centralized generation.DG's integration to distribution network would have great impact on reliability,economy and security of the system's operation.So,how to reasonably plan and operate the DG in the distribution network has very important theoretical and practical significance.Aiming at the problem,main contents in this thesis are as follows:1.Aiming at the uncertainty of DG and load,the corresponding probabilistic models are established,and the Latin hypercube sampling method is used to calculate the probabilistic power flow of the distribution network.Based on the analysis of IEEE33-bus system,the influence caused by the randomness of DG and load on system voltage and network loss is studied in this thesis,and also preparations are made for probabilistic power flow involved in the following part of this thesis.2.The optimal allocation and operation model of DG are established.In the optimal allocation model of DG,the time series model of DG and load are established,and the DG optimal allocation scheme is obtained with the objective of optimal annual expected comprehensive cost.In the optimal operation model of DG,three types of active management are considered,such as:regulating the active power output of DG,regulating the secondary voltage of the on-load transformer and reactive power compensation.Considering the randomness of the load in the time sequence scenario,the optimal operating states of the DG are obtained with the aim of minimizing the actual operating cost of the system.3.The improved Particle Swarm Optimization(PSO)algorithm and interior point method are employed to solve the model.The problem of DG allocation is solved by the improved PSO.In order to improve the optimization performance of the algorithm,the characteristic of chaotic motion is introduced into PSO to avoid the algorithm falling into local optimum in this thesis.The optimal operation model of DG can be attributed to the problem of optimal power flow,the interior point method is chosen to solve the problem.A case study is carried out on IEEE33-bus system to verify the effectiveness of the proposed model and the effectiveness of the proposed solving algorithm.Furthermore,the case study analyzes the effect of load randomness on system operation index,which has a certain guiding effect on engineering practice.4.From the perspective of practical engineering applications,based on the built model and the proposed solution,a software is developed by the mixed programming technology of Qt and MATLAB.By applying this software,the functions of parameter setting,optimization calculation,data management and so on can be realized conveniently.