Research On Dynamic Reconfiguration And Maintenance Optimization Of Distribution Network With Photoyoltaic Outout

With the increasing environmental pollution and energy crisis,the penetration level of clear and renewable PV power generation is becoming higher and higher in the power system.However,due to the influence of solar radiation intensity,the output power of PV power generation is uncertain,which has a profound impact on the planning and operation of distribution network.Therefore,by considering more and more uncertain factors in distribution network with the PV output,the uncertainty theory is introduced to study the problems related to the distribution system with PV power generation,including the dynamic reconfiguration and the maintenance schedule optimization of distribution network with PV power output in this thesis.First,with the predictive cloud amount,the prediction model of PV output is established by considering the randomness and fuzziness.The PV output is determined by the solar radiation intensity and the solar radiation intensity is affected by the cloud amount,so the cloud cover coefficient method is used to predict the solar radiation in the cloudy weather.Further,considering the uncertainty of the cloud coverage forecast,the random fuzzy theory is introduced to analyze the uncertain relationship between cloud amount and cloud cover coefficient and then calculate the corresponding solar radiation intensity.Then,the active power of PV generation is predicted by using the photovoltaic output model in HOMER.Second,based on the prediction model of PV output,a new method of dynamic reconfiguration of distribution network is proposed.The network loss can be reduced as much as possible by optimizing the network structure while considering the constraints of switching times and the fluctuation of PV output power in a given period of time.The simulation results in IEEE-33 distribution system show that the proposed method for distribution network reconfiguration is effective and feasible.Finally,with the uncertainty theory,the optimization of distribution network maintenance schedule with PV output is studied.The maintenance scheduling model with chance measure constraint is established with a variety of uncertain factors considered,including the fluctuation of PV output and electricity demand,and the uncertainty of equipment historical failure rate.The optimization objective is to minimize the pessimistic value of maintenance cost and reliability cost.And a two layer hybrid optimization algorithm is used to solve the model.The simulation experiments in IEEE-33 distribution system demonstrate the effectiveness and feasibility of the proposed method.