Maximum Power Point Tracking for Photovoltaic System Based on IMVO Algorithm

The power output curve of the photovoltaic (PV) array exhibits multi-peak characteristics under partial shading conditions, and the traditional control algorithm cannot track the maximum power point continuously and accurately, therefore, a global maximum power point tracking method is proposed based on the improved multi-verse optimization algorithm. Spiral update and adaptive compression factor are introduced to enhance the global search capability of algorithm; the travelling distance rate update method is changed, and the convergence speed of algorithm is accelerated, so the optimization ability of the algorithm is improved by the three aspects. The simulation results show that the improved multi-verse optimization algorithm can track the maximum power point continuously and stably under the three conditions that uniform irradiance, partial shading and variable irradiance, and the convergence time and convergence accuracy have been greatly improved, thus verifying the feasibility of the algorithm in the maximum power point tracking control.