Analyzing the Impact of PV Power Penetration to 220 VAC Grid System With ANN

Renewable energy developed rapidly by global warming and the energy crisis. A kind of renewable energy that is highly developing is photovoltaic. From some research about photovoltaic, one is the penetration of power from photovoltaic into the electricity system. However, this kind of penetration can cause problems, such as harmonics fluctuation and voltage fluctuation. To solve this kind of problem, in this research artificial neural network is used to analyze the impact of power penetration and electricity system. The steps in this research starts from recording the experiment data of the prototype of PV penetrated to 220 VAC voltage grid, learning the experiment data in Artificial Neural Network (ANN), running ANN simulation in MatLab to predict the impact of PV penetration, analyzing the data of simulation result. The kind simulation of this artificial neural network feeds forward backpropagation, and the simulation data is achieved after. Where the impact of power penetration from PV is voltage fluctuation, unstable current harmonics, so the power that can be penetrated in this prototype not more than 720 Watt. The amount of penetrated power data was recorded from the simulation above 720 Watt. The voltage of the system is beyond the standards (+5%, -10%). The prediction that is concluded that the higher power that is penetrated occuring, the higher increasing voltage to the system.