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Unscented Kalman filtering method for scheduling photovoltaic power generation system fluctuations

机译:用于调度光伏发电系统波动的Uncented Kalman滤波方法

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摘要

For the intermittent nature of renewable resources (such as wind and solar), smooth power fluctuations are required before the energy conversion system can be injected into the grid. The battery system is a typical smoothing control method for photovoltaic power. The long-term overcharge and overdischarge make the battery energy storage scheme unattractive. In this paper, the output power fluctuation of the photovoltaic power generation system is smoothed based on the unscented Kalman filter (UKF) method combined with the fuel cell operating characteristics. This coordination method affects the UKF situation through the feedback of state of charge (SOC) and the power of the battery system. Not only can it better meet the load characteristics, but it can also make the SOC automatically correct the battery system to prevent overcharge and overdischarge. The meteorological load data was used to verify the superiority of the method.
机译:对于可再生资源(如风和太阳能)的间歇性,在能量转换系统可以注入电网之前需要平滑的功率波动。 电池系统是光伏电源的典型平滑控制方法。 长期过充电和过度放电使电池能量存储方案没有吸引力。 在本文中,基于与燃料电池操作特性结合的Unscented Kalman滤波器(UKF)方法平滑光伏发电系统的输出功率波动。 这种协调方法通过反馈(SOC)和电池系统的电力反馈来影响UKF情况。 不仅可以更好地满足负载特性,而且还可以使SOC自动纠正电池系统以防止过度充电和过度放电。 气象负载数据用于验证该方法的优越性。

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