A Comparison of AI and Conventional MPPT Technique for Solar Photovoltaic System

Maximum Power Point Tracking (MPPT) algorithms driven by artificial intelligence (AI) seek to maximize the power output of renewable energy sources, especially solar panels. In dynamic situations, traditional MPPT methods might not be effective as well. AI algorithms, such as neural networks and reinforcement learning, can quickly adapt to changing environmental conditions (like temperature and sunlight) more effectively than traditional methods. With advancements in computational power, AI can process data in real time, allowing for instantaneous adjustments that traditional methods may not achieve as quickly.