The Implementation of Moving Average to Reduce the Photovoltaic System Active Power Fluctuations

The photovoltaic (PV) system works connected to the electricity network, there is a problem of output power fluctuations. The output power of the PV system fluctuates causing system frequency instability. One way to overcome this problem is to use an energy storage system or an electric spring. The electric spring is a system that reduces the ramp rate or changes in the output power of the PV system suddenly, so that the power system perceives the power it produces changes slowly. This paper proposes a simulation of an electric spring using the moving average method to mitigate fluctuations in the output power of a PV system. The moving average (MA) method intends to average a number of PV system active power output data with an adjustable data size range. The active power output value of an average yield PV system is expected to change slowly or have a low ramp rate. The amount of input and output data becomes wider. Changes in the value of the window length adjust the desire and affect the active power output of the PV system that has been refined. The actual output active power of the PV system at that time will most likely not be equal to its average rated power. The energy storage system uses a type of valve regulated lead acid (VRLA) battery. The selection of batteries takes into consideration from the development, research and commercialization side, if all of these stages have been passed, the energy storage can be said to be mature.