Research on intelligent operation and maintenance of photovoltaic energy storage systems based on big data and artificial intelligence

doi:10.19799/j.cnki.2095-4239.2025.0715

Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (9): 3414-3416.doi: 10.19799/j.cnki.2095-4239.2025.0715

• Energy Storage System and Engineering • Previous Articles Next Articles

Research on intelligent operation and maintenance of photovoltaic energy storage systems based on big data and artificial intelligence

Youjun YANG¹^,²(), Jian MA¹, Jie SUN¹

^1.Hongjiadu Power Plant of Guizhou Wujiang Hydropower Development Co. , Ltd. , Wujiang 551501, Guizhou, China
^2.Water Resources and Hydrology Department of Institute of Hydraulic Engineering, Tsinghua University, Beijing 100010, China

Received:2025-08-06 Revised:2025-08-30 Online:2025-09-28 Published:2025-09-05
Contact: Youjun YANG E-mail:xunahxzcoxjhsdwt@163.com

Abstract

Abstract:

With the accelerated transformation of the global energy structure towards renewable energy, the efficient and stable operation of photovoltaic energy storage systems, as a key carrier of clean energy, is of vital importance. This article focuses on the intelligent operation and maintenance of photovoltaic energy storage systems, and delves deeply into its significance, technical support, and optimization strategies. This research achievement provides theoretical basis and practical guidance for promoting the large-scale application and sustainable development of photovoltaic energy storage systems, and helps the energy industry achieve the goal of green and low-carbon transformation.

Key words: photovoltaic energy storage system, intelligent operation and maintenance, big data, artificial intelligence

CLC Number:

TP 18

Youjun YANG, Jian MA, Jie SUN. Research on intelligent operation and maintenance of photovoltaic energy storage systems based on big data and artificial intelligence[J]. Energy Storage Science and Technology, 2025, 14(9): 3414-3416.

[1]	姚远. 微电网中光伏发电控制系统设计与实现[D]. 成都: 电子科技大学, 2021.
	YAO Y. Design and implementation of photovoltaic power generation control system in microgrid [D]. Chengdu: University of Electronic Science and Technology of China, 2021.
[2]	吴鸣, 熊雄, 季宇, 等. 微网群技术综述[J]. 储能科学与技术, 2019, 8(4): 621-628.
	WU M, XIONG X, JI Y, et al. Overview on multi-microgrid technologies [J]. Energy Storage Science and Technology, 2019, 8(4): 621-628.
[3]	覃瑜传. 低压微电网群远程运维系统设计及实现[J]. 电气应用, 2019, 38(10): 90-94.
	QIN Y C. Design and implementation of remote operation and maintenance system for low voltage microgrid group[J]. Electrotechnical Application, 2019, 38(10): 90-94.

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Research on intelligent operation and maintenance of photovoltaic energy storage systems based on big data and artificial intelligence

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