基于深度学习的分布式光伏电压控制系统的设计
Design of Distributed Photovoltaic Voltage Control System Based on Deep Learning
崔健 1高山 1孔焱 1杨洁1
作者信息
- 1. 华能济南黄台发电有限公司,山东 济南 250033
- 折叠
摘要
光伏系统在实际应用中面临自然环境变化和负载需求波动等问题,对电压控制提出了更高的要求.详细介绍了一套基于深度学习的分布式光伏电压控制系统的设计,包括深度学习模型的选取与集成、系统架构的构建以及数据流和信息处理的实现方式.通过深入分析深度学习在电压控制中的应用,展示了如何利用深度学习模型处理和预测光伏发电过程中的电压变化,以及如何在分布式系统中实现这一过程,以提高光伏系统的整体效率和稳定性.
Abstract
Photovoltaic systems face issues such as natural environmental changes and fluctuations in load demand in practical applications,which require higher voltage control.This paper introduces in detail the design of a distributed photovoltaic voltage control system based on deep learning,including the selection and integration of deep learning model,the construction of system architecture,and the realization of data flow and information processing.By in-depth analysis of the application of deep learning in voltage control,this paper shows how deep learning models can be used to process and predict voltage changes during photovoltaic power generation,and how this process can be implemented in distributed systems to improve the overall efficiency and stability of photovoltaic systems.
关键词
深度学习/分布式光伏电压控制/系统设计Key words
deep learning/distributed photovoltaic voltage control/system design引用本文复制引用
出版年
2024
NETL
NSTL
万方数据