Grid-Connection Planning And Evaluation Of Distributed Generation Based On Distribution Network In Northern Hebei

Distribution network is an important link connecting the high-voltage transmission network with users.Scientific and rational planning of the distribution network is beneficial to the safe and reliable operation of the power grid.In recent years,distributed generation has been rapidly developed with the increasingly prominent environmental issues,and it has become an important trend in power development.However,distributed generation is a double-edged sword.The impact on the grid is different with different configurations and matching,so it is of great significance to make reasonable planning of distributed generation in the traditional distribution network.This thesis focuses on the "Grid-Connection Planning and Evaluation of Distributed Generation Based on Distribution Network in Northern Hebei" and starts the following work:Firstly,several common distributed generations are introduced,and the impact of distributed generation planning on the traditional distribution network is qualitatively analyzed from the aspects of power system reliability,network loss,voltage level,and environment.Secondly,the commonly used output models of distributed generation such as wind turbines and photovoltaic are introduced.Based on the actual light intensity and wind speed data of distribution network in northern Hebei,the output models of wind turbines and photovoltaic are established;Then,considering the fluctuation of power load,an uncertain load model is established;Finally,scheduling strategies for energy storage batteries are formulated.Thirdly,a multi-objective planning model considering the investment costs of distributed generation,network loss costs,reliability costs,environmental benefits,delaying the benefits of network updating,energy-saving benefits,and annual revenue of distributed generation is proposed,and a genetic algorithm is used to solve the problem.In this thesis,the coding strategy is improved based on the traditional genetic algorithm,so that it can solve the type of distributed generation.In addition,in order to have a clear understanding of the planning results under different DG combination types,taking the actual topology of a certain area in northern Hebei as an example,the distributed generation is divided into several types:wind power,photovoltaic;wind power,photovoltaic,storage battery;photovoltaic,storage battery;wind,storage battery.In addition,considering the suggestion that relevant scholars think that adding links to the topology can improve reliability,the tie-line solution is also included in the simulation cases.Finally,in order to make comprehensive decisions on the pros and cons of different distributed generation planning schemes,a comprehensive evaluation index system for distributed generation planning schemes was established,and an evaluation of the planning scheme was performed using the analytic hierarchy process and data envelopment analysis.Taking the planning scheme in Chapter 3 as an example to calculate and comprehensively assess the order of merits of each planning scheme.