摘要
在光伏并网发电系统中,传统的控制方法在数据处理效率、控制精度以及系统安全性方面存在一定的局限性.文章提出了一种基于人工智能的光伏并网发电通信控制装置,利用机器学习和优化算法实现对光伏发电系统的智能控制.通过设计数据采集与监控模块、控制算法模块以及安全管理模块,系统实现了对光伏发电数据的实时采集、智能控制以及安全管理.实验结果表明,基于人工智能的方法显著提高了数据处理效率、控制精度以及系统安全性,验证了其在光伏并网发电中的应用价值.
Abstract
In photovoltaic grid-connected power generation systems,traditional control methods have certain limitations in terms of data processing efficiency,control accuracy,and system security.This paper proposes an AI-based communication control device for photovoltaic grid-connected power generation,utilizing machine learning and optimization algorithms to achieve intelligent control of photovoltaic systems.By designing data acquisition and monitoring modules,control algorithm modules,and security management modules,the system realizes real-time data collection,intelligent control,and security management of photovoltaic power generation.Experimental results demonstrate that AI-based methods significantly improve data processing efficiency,control accuracy,and system security,validating their application value in photovoltaic grid-connected power generation.
维普
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