Energy Storage Capacity Optimization Of Wind-energy Storage Hybrid Power Plant Based On Dynamic Control Strategy

Against the background of continuous growth in energy consumption and carbon emissions,large-scale development of new energy has become an inevitable trend.Wind power generation,due to its mature technology,abundant resources,and flexible installation,has become the most commercially promising energy technology,maintaining a high level of development in recent years.However,the inherent volatility and uncertainty of wind power itself have posed challenges to the stable operation of the power system.Energy storage systems,with their fast response,high adjustment accuracy,and flexibility,have become the preferred solution to the problem of wind power grid connection.By combining energy storage with wind power,the uncertainty and volatility of wind power can be minimized and its utilization efficiency can be improved.Although wind-storage co-operation provides a technical approach to deal with the volatility and uncertainty of wind power,the economic viability of wind-storage systems still needs to be addressed for widespread practical application.In order to improve the overall efficiency of wind-storage systems,this article first reviews the relevant theories of wind-storage systems,comprehensive evaluation methods,and particle swarm optimization algorithms to lay the foundation for subsequent research.Secondly,the control objectives of the wind-storage joint operation system are clarified,and various operating strategies for the wind-storage joint operation system are constructed from two levels:tracking planned output and participating in frequency regulation.After discussing and analyzing the advantages and disadvantages of various strategies,a dynamic control strategy that considers energy storage participating in frequency regulation is proposed.The strategy adopts different control objectives based on the charge status of the energy storage system to achieve higher economic benefits while solving the variability of wind power generation and ensuring the stability and reliability of the power grid.Then,under the premise of fully considering the various benefits and costs of the wind-storage system and the impact of energy storage loss,an energy storage capacity optimization model is constructed.Finally,four different control strategies are set up and solved using particle swarm optimization algorithm,and the optimization results are analyzed by comprehensive benefit evaluation.The research results indicate that the energy storage capacity optimization model constructed in this article can effectively solve the optimal energy storage capacity corresponding to the wind farm,and that appropriately configured energy storage with the wind farm can improve the overall system efficiency.The dynamic control strategy proposed in this article achieves the best economic benefits while maintaining reliability.Compared with other schemes,the economic benefits of the dynamic control strategy have increased by 7.63%,327.69%,and 9.75%respectively,and the energy storage life has been extended by 10.02%,62.89%,and 21.61%respectively,indicating that the working state of the energy storage system will significantly affect the energy storage life,and ultimately affect the economic benefits of the ’system.In terms of comprehensive benefits,the score of the dynamic control strategy is 0.07,0.33,and 0.08 higher than that of other strategies,reflecting the superiority of the dynamic control strategy in economic,technical,and social environmental benefits.The model method constructed in this paper can provide scientific decision basis for the operation and configuration of the wind storage system.