Journal of Engineering Research

Distributed photovoltaic power generation systems hold a significant position in the energy transition, but their output power is greatly influenced by light intensity and temperature. The maximum power point tracking (MPPT) control algorithm is key to improving system efficiency. This paper addresses the shortcomings of traditional MPPT algorithms by proposing an optimized algorithm. By improving the disturbance observer method, introducing adaptive step size, and incorporating intelligent prediction mechanisms, the tracking speed and accuracy are effectively enhanced. Experimental results show that the optimized algorithm performs excellently under both dynamic and static conditions, significantly improving system power generation efficiency and providing technical support for the widespread application of distributed photovoltaic power generation systems.

Distributed photovoltaic; Maximum power point tracking; Control algorithm; Optimization; Power generation efficiency