Research On Mechanisms Of Day-ahead Peak Regulation And Frequency Modulation Ancillary Service Markets With Large-scale Wind Power

With the deepening of wind power research and global development,the power system has gradually shifted to a new low-carbon pattern.However,due to the strong random uncertainty of wind power,the forecasting method of peak regulation and frequency modulation demand based on artificial empirical method is no longer suitable for systems with large-scale wind power.And the deterministic economic dispatch model cannot effectively promote wind power consumption.Therefore,the paid transaction of ancillary services has become the way to solve the difficulties in the transition period of our country's energy structure transformation.In addition,the problem of peak regulation in our country is outstanding,and it is difficult to directly shift the consumption of new energy to a positive situation by directly adopting the mature foreign power market model.Therefore,there is an urgent need to explore a trading mechanism suitable for our country's peak and frequency modulation ancillary service market.This paper studies the day-ahead demand forecasting methods and market trading mechanisms of peak regulation and frequency modulation ancillary service.Firstly,based on the three-parameter power law model of wind power,the demand forecasting method of peak regulation and frequency modulation is studied.Starting from the random uncertainty of wind power,the measured data of wind power is processed into a 15-minute average component and a minute-level fluctuation component by using Mallat decomposition and reconstruction algorithms.The relationship of the three-parameter power law model can effectively quantify the fluctuation characteristics of wind power.Therefore,based on this model,a new demand forecasting method of peak regulation and frequency modulation considering wind power fluctuation characteristics is proposed.Furthermore,the proposed day-ahead ancillary service market transaction model is solved.The robust optimization conception of uncertain sets is used to deal with the wind power components in the constraints.The branch and bound method is choosed to solve the model.And an example is set up to compare the two types of demand forecasting methods of peak regulation and frequency modulation based on the empirical formula method and the three-parameter power law model,as well as the market independent and joint trading models.It can be obtained that combining the prediction method based on the three-parameter power law model with the joint transaction mechanism can effectively reduce the purchase cost of the ancillary service market.Finally,the impact of the day-ahead market trading model on system frequency quality and real-time markets is assessed.A single-region system frequency modulation model of wind and fire was established,and the amount of electricity won the bid was input into the model.The intraday real-time market and frequency modulation mileage cost settlement model are established.Since the demand prediction method of peak regulation and frequency modulation based on the three-parameter power-law model takes into account wind power fluctuation characteristics,it can significantly improve the accuracy of the day-ahead frequency modulation demand prediction and reduce the system frequency deviation,so that it is more suitable for application scenarios with large-scale wind power.Since the joint trading mechanism of peak regulation and frequency modulation has taken into account the performance differences of the units,it can greatly reduce the total cost of purchase at all levels of the market.And the proportion of the revenue of thermal power units with better flexibility has increased significantly,indicating that this mechanism can effectively promote the flexibility of thermal power units to transform,so as to achieve the purpose of advancing the reform process of our country's power market.