Research On Energy Management Strategy Of New Energy And Multi-Type Energy Storage Combined Power Generation System

With the rapid changes of the times and the influx of new energy sources,my country’s electric power construction is developing rapidly and is in the stage of reform of the electric power industry.but also cause waste of resources such as abandoning wind and solar.In order to reduce the pressure of new energy power generation on the grid and reduce the curtailment of wind and solar power,it is therefore critical to use energy storage to effectively manage new energy over-planned power generation,and multiple types of energy storage can not only achieve effective energy management,but also reduce The construction cost provides the possibility to solve the problem.In order to achieve effective management of super-planned power,improve the ability to track output,and take into account that the state of charge of the battery energy storage system is in a movable state at any time,an adaptive charging and discharging power distribution energy management method with multiple control coefficients is established.With the goal of tracking output effect,SOC evaluation,and wind storage income,the particle swarm optimization algorithm is used to perform rolling optimization of power control coefficients.Multi-scenario comparison simulation is carried out through MATLAB to verify the effectiveness of the proposed wind storage combined system energy management method.Then,in order to reduce the construction cost of battery energy storage power stations,a multi-type energy storage system based on cascade batteries is proposed and an energy management method based on cascade batteries is established.The wind power error commands are classified by levels,and the storage is reasonably performed according to the error levels.The system can be internally scheduled,and finally SOC evaluation and discharge depth evaluation are used as the objective function to solve the problem using CPLEX.Through the comparison of calculation examples,the limitation effect of this strategy on the charging and discharging depth of batteries with different health levels and the improvement of the ability to track output of new energy are analyzed.