Optimal Scheduling Control Strategy For Wind-Thermal-Storage Combined Operation With High Proportion Of Wind Power

In the "14th Five Year Plan" development goal,it is required to rationalize the allocation of energy resources,accelerate the promotion of low-carbon green development,and achieve carbon emission reduction.To promote the "dual carbon" goal,the further full development of renewable energy is imminent.As a clean energy,wind power has developed rapidly in recent years.However,due to the uncertainty and inverse peak shaving characteristics of wind power output,and the limited peak shaving capacity of thermal power units,large-scale grid connection of wind power makes the peak shaving capacity of the power system even more insufficient.If there is no corresponding peak shaving measures,it may be necessary to force wind abandonment to maintain power balance during low load periods,resulting in a large amount of waste of clean energy power.To rationally utilize wind power resources,promote energy transformation and green development,pumped storage power stations are recognized as an effective means of energy storage worldwide.Firstly,this paper studies the peak shaving requirements of high proportion wind power systems and evaluates the functional effectiveness of pumped storage power stations.Since large-scale grid connection of wind power will increase the peak shaving demand of the system,analyzing its impact on grid access is a prerequisite for solving the problem.At the same time,this paper proposes to use pumped storage power stations as energy storage means,and conduct a quantitative evaluation of their functional benefits to prove the applicability of pumping and storage.Therefore,this paper constructs relevant indicators to analyze the peak shaving characteristics and demand analysis of wind power,and then establishes a comprehensive energy efficiency quantitative evaluation system model for pumped storage power stations,evaluating the role of pumped storage from the perspective of functional benefits,laying a solid foundation for subsequent research on low-carbon economic strategies.Secondly,to alleviate the pressure of power grid peak shaving while reducing carbon emissions,this paper proposes a combined optimal control strategy of wind fire storage based on green card carbon trading mechanism.The strategy is hierarchical control.Firstly,the upper model optimizes the output of the pumping and storage unit with the goal of optimizing the peak to valley difference of the net load and maximizing the pumping and storage revenue to ensure the peak to valley clipping effect and revenue of the pumping and storage power station;Secondly,the lower level model optimizes the output of thermal and wind turbines with the goal of minimizing the total operating cost of the system,and introduces a carbon trading mechanism and a green certificate mechanism to ensure the system economy while meeting low-carbon requirements.Finally,since simply introducing the green card carbon trading mechanism cannot fundamentally change the operation mode of conventional units and new energy power generation units,a demand response considering load classification is introduced based on the green card carbon trading mechanism,and information gap decision theory(IGDT)is used to deal with the impact of wind power uncertainty,establishing a target function model with the lowest total operating cost of the system as the target,Coordinated dispatching from both source and load sides further achieves low-carbon economic dispatching and peak shaving effects in the power system.