A New MPPT Algorithm for Photovoltaic Power Generation under Uniform and Partial Shading Conditions

During its operation, a photovoltaic system may encounter many practical issues such as receiving uniform or non-uniform irradiance caused mainly by partial shading. Under panel has single maximum power point. Conversely under irradiance, several local points and global To maximize energy production, point tracker algorithm is commonly implemented to achieve the operating of panel. However, performance will depend on conditions variation in irradiance. Presently, most existing algorithms work only condition: either This paper proposes new for generation that designed shading conditions. Additionally, proposed aims provide: (1) simple math reduce computational load, (2) fast tracking evaluating progress every executed duty cycle, (3) without random steps prevent jumping (4) smooth variable increase accuracy. The performances are evaluated three where targeted located: far from, near, laid between initial positions particles. simulation shows successfully tracks resulting similar values those could handle condition avoiding maxima finding Comparisons other well-known differential evolution, firefly, particle swarm optimization, grey wolf optimization provided show superiority algorithm. results better providing faster tracking, settling time, higher accuracy, minimum oscillation harvesting.