Adaptive two-step power prediction and improved perturbation method for accelerated MPPT with reduced oscillations in photovoltaic systems

Improving the efficiency of photovoltaic (PV) power generation and minimizing power loss are critical challenges in PV systems. Traditional maximum power point tracking (MPPT) methods, such as the perturbation and observation (P&O) and incremental conductance (INC) methods, suffer from significant power oscillations at steady state and slow tracking speeds. This paper introduces an improved P&O algorithm that integrates a two-step power prediction with the conventional one-step approach and optimizes the duty cycle adjustment. The optimization employs an adaptive resistance coefficient that is proportional to the PV array voltage and inversely proportional to the current, enabling the algorithm to dynamically…

• SG
  State Grid Corporation of China
• SA
  Science and Technology Project of State Grid

  Awards: 5400-202112571A-0-5-SF, 5400\u2013202112571A-0\u20135-SF