Design and Implementation Mountaineering Team-Based Optimization Algorithm for MPPT on Partial Shading Conditions

Renewable energy has now become the focus of the world community in overcoming the problem of shrinking supplies of non-renewable energy. In this case, solar panels are one of the energy alternatives applied to many things in society. Power generated from solar panels is influenced by external factors such as weather and shadows from plants or building. These external factors can make power generated from solar panels decreases. Therefore, a tool is needed that can assist solar panels in producing optimal power in each condition. Implementation of Maximum Power Point Tracking (MPPT) system can resolve the problem at hand. Power on solar panels can be optimized because MPPT will ensure that the power generated from solar panel always optimal even in partial shadings condition. In this research, data processing uses Mountaineering Team-Based Optimization (MTBO) algorithm for MPPT implementation. MTBO is one of the latest algorithms that take inspiration from the journey and struggle of the mountaineering team to reach the top of the mountain. This research aims to see the performance of MTBO algorithm for MPPT when compared to another algorithm namely PSO and P&O. MTBO demonstrate better performance in power generating solar panels even in partial shadings condition. Simulation results show that the MTBO algorithm produces an average tracking accuracy of 99.634 percent in 5 different patterns. This result show that the power generated from solar panels is not trapped at the Local Maximum Power Point (LMPP).