Optimal scheduling of deep peaking compensation for electric utilities considering multiple types of adjustable resources

This paper first analyzes the peak compensation process of electric power units in electric power enterprises, studies the carbon emission model of unit operation and the cost calculation method, then constructs an optimized dispatch model of deep peak compensation in electric power enterprises based on the factors of peaking subject and object and multiple types of adjustable resources, determines the critical peaking rate, and calculates the coefficient of the unit’s peaking capacity and the coefficient of the system’s peaking demand. Finally, based on the model, single-day and multi-day data from the regional power grid were analyzed, and the energy losses of the system units in summer and spring were compared before and after optimization. The results show that the average load factor of coal power units after the optimal dispatch of regional grid peak compensation is increased from 62%-68% before optimization to more than 91%, and the overall energy consumption of the system is reduced by 30.95% in the summer and 39.93% in the spring, which is of theoretical and practical significance for alleviating the scheduling pressure on the grid and the control problems of the power units.