Capacity Optimization Of Hybrid Energy Storage In Wind Solar Hybrid Power Generation System

In view of the instability of single photovoltaic power generation and wind power generation,as well as the high cost and short life of traditional batteries,which restrict the development of photovoltaic and wind power generation technologies,this article proposes a way to add batteries and hydrogen energy storage to the wind and solar hybrid power generation system.The composite energy storage device is used as the optimization research object to improve the system economy and battery performance.Mainly focus on the following sides:The theorys of wind power generation system and photovoltaic power generation system are introduced separately.At the same time,the related mathematical model is founded,which is closely related to the time and space characteristics of wind turbines and photovoltaics.Study the working principle of storage battery and hydrogen storage and their respective advantages and disadvantages,and establish corresponding models according to their respective characteristics.The system structure of the wind and solar hybrid power generation system was constructed,and the operation control strategy of wind turbines and photovoltaic arrays was selected.The maximum wind energy capture control strategy is adopted for the control of the wind turbine,and the maximum power point tracking control is adopted for the photovoltaic array.In addition,the operation control strategy of the battery is studied.The particle swarm optimization algorithm is applied to select the quantity of the power generation system containing a single battery and the power generation system of a hybrid energy storage facility consisting of a battery and hydrogen storage.First of all,in terms of algorithm selection,this thesis selects the particle swarm optimization algorithm,and the inertia weight is introduced with a linear decreasing strategy,which improves the superiority of the algorithm and greatly improves the accuracy of optimization.Then the minimum total net present cost during the whole life cycle is used as the objective function,and the load shortage rate,installed capacity and power generation are the constraint conditions;in the quantity optimization model of the founded energy storage facility,there will be a global search The optimized particle swarm algorithm is applied to the single energy storage system and the hybrid energy storage device to be optimized separately to obtain the best power generation device of the wind and solar hybrid power generation system.Use Homer software to simulate the established models including wind energy,solar energy,and batteries;as a comparison experiment,change the battery model to a hybrid energy storage model to simulate again,compare the results of the two simulations,and verify the hybrid storage proposed in this paper.The effectiveness of the device.The simulation results show that the total net present cost of the wind and solar hybrid power generation system under the hybrid energy storage device during the whole life cycle is lower,and the battery SOC diagrams is in a more reasonable range.It is concluded that the hybrid energy storage device proposed in this paper improves the economy of the system under the premise of ensuring the stability of the system.In addition,comparing the two sets of battery SOC diagrams,it is found that the hybrid energy storage device can also improve the performance of the battery.