Fault identification system for solar cell strings in photovoltaic systems for electricity generation, has self-learning processor for analyzing historical data and predicting potential fault locations based on current and voltage values
	YADAV U; KUMAR R
	2024-10-30
专利权人	KUMAR GARG ENG COLLEGE AJAY (KUMA-Non-standard)
申请日期	2024-10-30
专利号	IN202411083052-A
成果简介	NOVELTY - The system has a current sensing unit (102) placed along solar cell strings and for detecting real-time current values. A voltage sensing module (104) is longitudinally aligned with the current sensing unit. The voltage sensing module acquires voltage values from the solar cell strings. A self-learning processor (106) is operatively coupled to the current sensing unit and the voltage sensing module. The self-learning processor analyzes historical data and predicts potential fault locations based on the current and voltage values. The current sensing unit intersects the voltage sensing module to provide real-time synchronized current and voltage data to the self-learning processor for accurate fault prediction along the solar cell strings. USE - Fault identification system for solar cell strings in photovoltaic systems for electricity generation. ADVANTAGE - The system proviodes fault identification in the solar cell strings, thus ensuring optimal performance of photovoltaic systems. The self-learning processor identifies faults in the solar cell strings in real-time and provides fault location information to a fault location determination module, so that accuracy of fault identification and location determination is improved and performance and longevity of the strings are increased. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a fault identification system for solar cell strings. 102Current sensing unit 104Voltage sensing module 106Self-learning processor
IPC 分类号	G05B-023/02 ; H02S-040/30 ; H02S-050/10
国家	印度
专业领域	能源矿产
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/14685
专题	中国科学院新疆生态与地理研究所
作者单位	KUMAR GARG ENG COLLEGE AJAY (KUMA-Non-standard)
推荐引用方式 GB/T 7714	YADAV U,KUMAR R. Fault identification system for solar cell strings in photovoltaic systems for electricity generation, has self-learning processor for analyzing historical data and predicting potential fault locations based on current and voltage values. IN202411083052-A[P]. 2024.

条目包含的文件
条目无相关文件。

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。