Research On Quotation For Deep Peak Shaving Auxiliary Service Of Thermal Power Unit

In recent years,under large-scale grid connection of new energy and lack of system peak shaving resources,the power industry has increasingly called for deep peak shaving of thermal power and increasing unit flexibility.In response to problems such as high cost of deep peak shaving,single peak shaving compensation standard and difficulty in benefiting thermal power units,a reformed power peak shaving auxiliary service market has emerged.In the period when the system is in urgent need of peak-shaving resources,the profit of participating in the peak-shaving market is higher than the normal power generation price.From the perspective of thermal power plant operators,it is beneficial to participate in the deep peak-shaving market.Firstly,this paper divides the operating status of thermal power units,analyzes the main components of operating costs under different operating conditions,and analyzes the changes in peak shaving costs under each output status of the units.Then,under the background of the current Northeast Electric Power’s deep peak shaving auxiliary service market,establish a two-stage planning and scheduling model and design a quotation system.Next,the load and quotation scenarios are generated bythe Latin hypercube sampling to simulate the quotation process of the thermal power plant participating in the peak shaving market;finally,the feasibility of the quotation system is verified by a case study.The research results show that with the decrease of unit output,the unit power generation cost begins to increase,especially at the stage when oil is required to stabilize combustion.Therefore,thermal power plants should pay attention to the change of unit power generation cost during deep peak shaving operation.When participating in the deep peak shaving market,the quotation is based on the unit power generation cost.When choosing a scene generation method,the scene generated by Latin hypercube sampling is more informative than Monte Carlo sampling.The larger the scale of the scene set,the higher the accuracy of the model solution.After the scene elements reach a threshold,the results tend to converge,but the solution time increases exponentially.Therefore,the accuracy and speed of the model solution should be considered comprehensively when determining the scale of the calculation scenario.During periods when system peak shaving resources are in short supply,the market price of peak shaving is higher than that of direct electricity sales.Although the thermal power plant in the calculation example in this paper loses part of the power generation profit when participating in the peak shaving market,the profit obtained in the peak shaving market clearly exceeds the loss of less power generation.That is,the sale of a certain amount of power generation space may not necessarily lead to a decline in total revenue.Therefore,thermal power plants can participate in the deep peak shaving market in a timely and appropriate manner according to their own conditions,and it is more likely to obtain higher returns.The two-stage quotation model proposed in this paper simulates the deep peak shaving market bidding process,judges the participation period and allocates power generation shares in different markets,and provides a reference for the bidding price of thermal power plants.