The Maximum Power Point Tracking Algorithm using Chaotic Neural Network for The Photovoltaic Power Generation

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The electric power from the photovoltaic power generation always fluctuates because the amount of the electric power depends on the weather conditions. Then, this study proposed a new maximum power point tracking algorithm to use the photovoltaic power generation systems stably and efficiently. Further, this study also evaluated a power-controllingalgorithm for the power grid with photovoltaic power generation systems and wind turbine power generation systems. The obtained results indicated that the heuristic algorithmsusing the neural networks work well for the novel power generation systems.