Risk Of Electric System Considering The Impact Of Wind And Energy Storage

Due to the increasing shortage of conventional energy sources and increasing energy demand,new energy sources such as wind power have been rapidly developed in various countries.Energy storage technology has also been rapidly developing.There is broad prospects of large-scale energy storage in peak load shifting,reducing risks of power grids and integration of wind power.To deal with the problems in recent research,the impact of wind power and energy storage on the power system was studied in this paper,from the aspect of risk,by optimizing the computation speed of Monte Carlo simulation.Firstly,the application of sequential Monte Carlo method and non-sequential Monte Carlo method in risk assessment of power system was introduced in this paper.The wind speed model,the output model of wind farm,the component model and the system minimum load-cut model were established,the impact of different Equivalent model of wind farm output and wind farm location on power system risk were analyzed.Aiming at the disadvantages of non-sequential Monte-Carlo sampling,two data structures were proposed in this paper: red-black tree and hash table.The dynamic fault sets were respectively constructed with both of the structures to speed up the non-sequential Monte-Carlo simulation.Secondly,pseudo-sequential state transition sampling has been adopted.In this paper,the process of pseudo-sequential state transition method was introduced,the Non-Aggregate Markov model was proposed for load and wind farm output,and pseudo-sequential state transition sampling method was applied to evaluating the risk of wind power and energy storage system.The red-black tree is applied to the pseudo-sequential method,and the differences between the non-sequential method and the pseudo-sequential method were compared.The impact of energy storage on system risk is considered while energy storage was applied to peak load shifting and as emergency backup power at the same time.According to the model proposed above,the simulation was programmed in IEEE-RTS79 system with Matlab,to analyze the influence on power system risk of different storage capacity,ratio of peak load shifting,location and output of wind farm.And the effectiveness of the optimization method proposed in this paper was verified through analysis.