Research And Simulation Of Energy Scheduling In Microgrid System

In recent years,in response to the serious consumption of traditional energy and fossil fuels and a series of serious environmental problems,the energy industry is undergoing profound changes to transform the increasingly severe status quo.Against the background of global resource shortages and sharp rises in the prices of raw materials,new energy power generation is playing an increasingly important role under the "dual carbon" goal,and the global installed capacity of wind power and photovoltaics is rapidly increasing.As the consumption method of distributed new energy power generation,microgrid is gradually moving towards digitization and intelligence with the development of emerging technology fields such as information technology,communication technology,and power electronics,and provides more intelligent,green and reliable power for power customers.The energy scheduling of the microgrid system is one of the most important means to ensure the safe,economical and reliable operation of the microgrid.Due to the natural disadvantages of intermittency and volatility of photovoltaic and wind power,the uncertainty of their output will inevitably have a certain impact on the large power grid.Therefore,in order to ensure the safety and stability of the large power grid,improve the utilization level of new energy,and improve the comprehensive level of economic benefits,reliability indicators and environmental benefits of power supply,it is necessary to comprehensively analyze all levels of the microgrid and study the energy scheduling strategy of the microgrid.In this context,the research contents of this thesis are as follows.First,this thesis carefully studies and analyzes the working principle and operation mode of each subsystem of the microgrid,and conducts a detailed simulation modeling of each subsystem according to the principle.At the same time,this thesis adopts new concepts such as real-time electricity price and flexible load participation of smart grid to coordinate the integrated operation of source,grid,load and storage,and proposes a two-layer optimal scheduling strategy combining day-ahead optimization and real-time adjustment.Second,the scheduling strategy is based on day-ahead optimization to ensure the optimal economic results of microgrid system scheduling.Ahead-day scheduling uses particle swarm algorithm to solve the model,and obtains the 24-hour optimal economic output of controllable micro-sources.In this thesis,the method of segmental mutation optimization is used to improve the particle swarm,and the segmental effect of Cauchy mutation and Gaussian mutation is used.At the same time,the inertia weight parameter is improved in the way of normal decay,which improves the optimization speed and solution accuracy of the algorithm.Third,during intraday operation,in order to reduce the influence of factors such as the operation of real-time scheduling on a smaller time scale and the deviation of prediction,on the basis of the previous economic dispatch results,a smaller time scale is divided,and the deviation of the operating point is corrected with a time scale of 6minutes.The quadratic programming algorithm is used to solve the adjustment amount,so that the real-time operation can follow the optimal result as much as possible,and the real-time adjustment can ensure the economy and reliability of the microgrid operation.Finally,this thesis uses Matlab simulation software,commercial real-time simulation software RT-LAB and real-time simulation machine OP4510 as platforms to establish a real-time simulation model for real-time adjustment scheduling of microgrid systems,which greatly improves the model solving speed and reduces the simulation time.The feasibility of real-time adjustment of scheduling strategy is verified.