Battery energy exchange in all scenario.

The increase in the consumption of electrical energy in the world has increased the trend towards renewable energy for the production of electricity in small and large scales. One of the major renewable energies that have attracted the attention of experts are wind turbine (WT) resources. Due to their dependence on wind speed, these sources have large fluctuations in output power. For this purpose, it is necessary to use electrical energy storage devices that can reduce the fluctuations of wind turbine output power by proper and fast charging and discharging. The use of such energy storage systems also increases network costs and operational complexity. Also, considering that wind turbine output power fluctuations are high and at a high speed, the charging and discharging of these energy storage devices will also occur with a large number of times and will lead to a reduction in the life of this equipment. If the size of these batteries is chosen in such a way that they can be charged and discharged in smaller intervals, their lifespan will be improved and the use of these equipment will be in more favorable conditions. In this paper, an attempt will be made to choose the appropriate state of charge (SoC) range for energy storage devices along with wind turbine resources. The simulation of wind turbine and battery storage in micro-grid and in on-grid condition has been implemented in MATLAB software.

全球电能消费的增长推动了大、小规模电力生产向可再生能源转型的趋势。其中，风力涡轮机（wind turbine, WT）资源是广受专家关注的主流可再生能源之一。由于依赖风速，这类电源的输出功率存在大幅波动。为此，需借助电能存储装置，通过合理且快速的充放电平抑风力涡轮机的输出功率波动。但此类储能系统的应用会提升电网成本与运行复杂度。此外，鉴于风力涡轮机的输出功率波动幅度大、速率快，这类储能装置的充放电频次也将大幅增加，进而缩短设备使用寿命。若将此类电池的设计参数调整为可在更短间隔内完成充放电，其使用寿命将得到优化，设备的应用条件也将更为有利。本文旨在为配合风力涡轮机资源使用的储能装置选取合适的荷电状态（state of charge, SoC）运行范围。本文基于MATLAB软件，完成了微电网并网工况下风力涡轮机与电池储能系统的仿真实现。