Energy Storage Capacity Optimization Of The Power System Integrated With Wind Power

As a good economic and mature renewable energy power generation,wind power generation has been highly valued in the world.However,due to the uncertainty and volatility of wind power output,the integration of wind power into the power grid brings great challenges to the operation of the system.Meanwhile,as a flexible and adjustable power source,energy storage has fast and flexible power regulation capability,which provides a new idea for wind power integration to participate in system operation and scheduling.The required energy storage in the wind power integrated system must meet many requirements such as large capacity for a long time,high energy density,fast response,and high power density.However,different types of energy storage have their own advantages and disadvantages,it is difficult for a single type of energy storage to meet all the requirements of the system for its technology.Based on the current development of energy storage technology,thi s paper studies the configuration of energy storage capacity in wind power systems.The main contents are as follows:(1)The basic concepts of wavelet transform and discrete wavelet transform methods are introduced.Based on this analysis,a multi-time scale wind power output model on the basis of wavelet transform is established.The physical and economic characteristics of various types of energy-type and power-type energy storage systems are analyzed.(2)Aiming at the problem of anti-peaking of wind power integrated systems,an energy storage capacity optimization method considering the hour-level peaking requirements is proposed,taking into account the economic performance of the energy storage system and its adaptability to the scheduling decision.By analyzing the impact of wind power integration on the peaking demand of the system,an energy storage capacity optimization configuration model was established,with the objective function of the net income brought by the energy storage investment to the system.Which introduced the peaking demand constraints,integrated the costs of pumped-storage power stations,peaking and valley-filling revenues,and the cost-effectiveness of system operation brought by investment in pumped-storage power stations.Finally,simulation analysis is carry out by using wind farm data and Genetic Algorithm,and the simulation results if the rationality and effectiveness of the method.(3)For the impact of wind power access fluctuations and prediction errors on the short-term power balance of the system,the conventional system and power-type energy storage are combined to adjust the power imbalance in the wind power-integrated system.For wind power and load fluctuation,the first consideration is to make use of the active adjustment of the conventional unit and the charge and discharge of energy storage to suppress the electricity,and then use the remaining climbing capacity of the system to make up for the prediction error.Based on the objective function of minimizing system operating costs,an energy storage capacity optimization model that considers the system's hourly ability to climb the slope is established to achieve the optimal balance between system reliability and economy.(4)According to the different problems to be solved in different time scale power systems,a dual time-scale composite energy storage capacity allocation method is proposed in combination with the different output characteristics of power-type and energy-type storage energy sources.The discrete wavelet transform is used to decompose the actual wind power data into two time-scale output components:The hourly wind power output component adopts the power-type energy storage capacity optimization configuration model proposed in the fourth chapter;the minute level wind power output component adopts a power-type energy storage capacity optimization configuration model proposed in the third chapter.Through the simulation analysis of actual data,the composite energy storage capacity configuration in wind power system was obtained,and the effectiveness of the method was verified.