Unscented Kalman filtering method for scheduling photovoltaic power generation system fluctuations

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Abstract
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.
Funding Information
  • National Natural Science Foundation of China (51577048, 51877070)

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