Optimization of maximum power point tracking control algorithm for distributed photovoltaic power generation system
分布式光伏发电系统最大功率点跟踪控制算法优化

摘要

分布式光伏发电系统在能源转型中具有重要地位，但其输出功率受光照强度和温度影响较大。最大功率点跟踪（MPPT）控制算法是提高系统效率的关键。本文针对传统MPPT算法的不足，提出一种优化算法，通过改进扰动观察法，引入自适应步长和智能预测机制，有效提升了跟踪速度和精度。实验结果表明，优化算法在动态和静态条件下均表现出色，显著提高了系统发电效率，为分布式光伏发电系统的广泛应用提供了技术支持。

Abstract

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.