Electrochemical Energy Storage Cluster Participates In The Optimal Control Strategy Of System Peak Shaving

In recent years,in order to achieve the goal of "dual carbon",as a major carbon emitter,the power industry needs to build a new type of power system dominated by new energy sources such as wind power.Due to the fluctuation and randomness of wind power output,as well as the problem of anti peak shaving,the contradiction between system source and load is prominent,resulting in severe limitations in the system’s acceptance of wind power space.Faced with the huge challenges that the large-scale integration of wind power will bring to the peak shaving and safe operation of regional power grids,energy storage systems,especially electrochemical energy storage with excellent characteristics,can effectively solve the problem of peak shaving,increase the acceptance space of wind power,and reduce the generation of high abandoned wind in high penetration areas of wind power.In order to focus on exploring the economic and technological value of battery energy storage as a new and effective peak shaving resource for the power grid,this paper systematically studies the optimization control strategy of energy storage participating in peak shaving of the power grid.Firstly,the background and research significance of this article are introduced,and further research on energy storage systems assisting grid peak shaving to improve wind power acceptance space is analyzed.This article analyzes the current research status of peak shaving advantages of energy storage systems at home and abroad,and extends from energy storage modeling and single energy storage system peak shaving control strategy to energy storage clusters.The current research value and areas for optimization are analyzed.Secondly,to quantitatively analyze the peak shaving demand under wind power integration and visually describe the peak shaving issues of different systems.This article first considers the impact of various factors such as region,weather,and season on wind power,and analyzes the fluctuation characteristics of wind power data on three time scales: year,month,and day;This article analyzes the impact of wind power on grid peak shaving under any system power supply structure.In order to comprehensively quantify the supply-demand contradiction of system source load from the "source network load" level and optimize the constrained supply-demand balance relationship of source load,taking into account grid constraints,this paper proposes a power grid peak shaving demand analysis model that considers grid structure.Thirdly,in order to address the safety and economic issues of peak shaving brought about by the construction of high wind power penetration systems,a battery energy storage peak shaving and valley filling solution is adopted.This article proposes a peak shaving optimization control method that takes into account the technical and economic aspects of the energy storage system.Firstly,analyze the structure of energy storage and construct a mathematical model based on the actual battery device.Secondly,considering the technical effect of peak shaving,with the objective function of minimizing the standard deviation of the load curve after peak shaving,this paper proposes a bidirectional optimization control strategy for energy storage that considers peak shaving effect.On this basis,according to the time of use electricity price policy of the power grid,taking the technical and economic optimization as the objective function,this paper proposes a economic model for energy storage and peak shaving based on the time of use electricity price mechanism,and finally obtains the results of the power timing of energy storage optimization.Fourthly,considering the differences and imbalances in peak shaving resources between different regional power grids,in order to fully leverage the resource value between different regions,this chapter proposes a interconnected system energy storage cluster peak shaving dual layer optimization control strategy.Firstly,a method for constructing a interconnected system peak shaving optimization model with energy storage systems is proposed;Then,from the perspective of wind power thermal power energy storage and grid constraints,a interconnected system energy storage cluster peak shaving dual layer optimization control strategy is proposed.The upper layer strategy takes the overall system peak shaving economy and technical optimization as the objective function,obtains the unit combination results and overall energy storage output value in each region.The lower layer strategy takes the energy storage peak shaving economy optimization as the objective,and distributes the power of energy storage power plants in each region.Finally,the optimal peak shaving output of each energy storage power station in each region is obtained.