Peak Shaving Strategy And Benefit Evaluation Of Thermal Power Units Under The Consumption Of New Energy

Under the trend of large-scale grid integration and consumption of new energy,due to the randomness and volatility of new energy output and electricity load,the peak load of the power grid is constantly increasing.In my country’s power generation structure,thermal power units undertake the main task of peak shaving,but the continuous increase in the consumption of new energy has caused thermal power units to participate in deep peak shaving and start-stop peak shaving to alleviate the pressure of peak shaving.In this paper,the peak shaving strategy of large-scale new energy consumption and its comprehensive benefits are studied.The specific work of the paper is as follows:(1)First,based on the Markov process description of the uncertainty model of new energy output,the grid-connected characteristics of new energy are analyzed,and the peak shaving model of thermal power units and the indicators of thermal power units participating in deep peak shaving under new energy consumption are introduced respectively.The correlation model between new energy consumption and deep peak shaving of the power grid is used to quantify the impact of new energy consumption on the deep peak shaving of the power grid through monthly operation data of a certain area,and the increase in new energy consumption of start-stop peak shaving is analyzed.(2)Secondly,the operating cost of thermal power units participating in deep peak shaving and start-stop peak shaving is studied,and the system peak shaving margin is proposed as an evaluation index for the flexibility of power grid peak shaving,and a thermal power unit peak shaving optimization dispatch model considering the flexible consumption of new energy is established.Taking the minimum operating cost as the optimization goal,a dynamic planning strategy for peak shaving dispatching of thermal power units considering the flexible consumption of new energy is proposed.Based on the simulated annealing-Q learning algorithm,the operation mode under different new energy consumption intervals is simulated and calculated.The simulation results of the calculation example show that the dispatch strategy effectively improves the economics of the grid operation,while taking into account the stability of the grid operation.(3)Finally,a trapezoidal membership function based on interval numbers is proposed,the interval conformity degree is introduced to modify the single-factor membership degree,and a fuzzy comprehensive evaluation model based on interval numbers is established;the number of new energy consumption guarantee acquisition hours is proposed as the new energy consumption guarantee acquisition Established an evaluation index system for power grid peak shaving benefits under new energy consumption;calculated the comprehensive scores of power grid peak shaving strategies in multiple scenarios and evaluated and analyzed them.