An Optimal Approach for PV Power Optimization Based on Neural Network

The primary energy sources in the world are fossil fuels like coal and oil. Overuse will result in issues like the greenhouse impact and energy depletion. Finding high-efficiency, clean, and renewable energy is a must in order to address the conflict between the ongoing rise in energy consumption and the deterioration of the natural environment. In order to optimize the Photovoltaic (PV) power in distribution system, this paper propose an efficient algorithm based on neural network. The main idea is to consider the main factors for evaluating the system performance through principle factor analysis technique and deploys them as input for the prediction. Then, the spatial search algorithm is used to select the optimal weight threshold of the neural network. Simulation results show that the proposed algorithm has better performance as compared with existing methods.