Research On Multistage Energy Storage Joint Optimization Strategy For Wind Farms Under Market Environment

In recent years,with the gradual improvement of the power system power structure and the continuous improvement of the power market,the distributed new energy represented by wind power will play an important role in the power market.A large proportion of intermittent wind power incorporation will have an impact on the stability of the power grid.Participation of wind power entities in the power market transaction will also affect the final results of electricity prices and trading volumes.How to effectively improve the economic benefits of wind farms in market transactions,and to reasonably suppress wind power fluctuations,will become one of the issues to be explored in the process of new energy consumption.This paper takes the typical electric power spot market operation mechanism as the background,and designs the wind farm economic dispatching strategy based on the wind power hybrid energy storage system for two situations that consider the impact of load and does not consider the impact of load.The main research content includes:(1)Analysis and comparison of the typical power market operation mechanism and structure,including decentralized and centralized power markets.Select the Texas electric power market which with a large amount of wind power participation as the research background of this article and elaborate on it accordingly.The participants of the Texas Power Market were introduced respectively,as well as the operating mechanisms of their retail and wholesale markets.Describe how different types of market players participate in various types of electricity market transactions and their responsibilities in the market.(2)Analyze the characteristics of wind power,load and electricity price,compare various forecasting methods,and finally use ANN method to perform deterministic point prediction on the above data.Considering the possible impact of forecasting errors on market transactions,a conservative estimate should be made for wind power and load.Therefore,based on the deterministic point prediction,this paper applies the “Value of Wind Generation at Risk” method to obtain the lower bound of the wind power probability interval prediction and the upper bound of the load probability interval prediction.(3)In the operating mode of the Texas electricity spot market,a based two-stage hybrid energy storage system wind farm strategy was designed without considering the impact of load and considering the impact of load.Through the comparison of existing energy storage systems,two levels of energy storage systems were selected against the different needs of the day-ahead market and the real-time market.In the strategy,the main objective of the first-stage energy storage system is to improve the economic benefits of the wind farm,and the second-level energy storage system has the main objective of eliminating prediction errors and smoothing grid-connected electricity.When considering the influence of the load,a cycle-based hydrogen energy storage system based on P2 G technology was introduced to meet the load demand and reduce wind power abandonment.Finally,the validity of the energy storage strategy proposed in this paper is verified using relevant examples.