Match!

Research and implementation of microcomputer online fault detection of solar array

Published on Jul 25, 2009
· DOI :10.1109/ICCSE.2009.5228541
Huang Zhi-qiang1
Estimated H-index: 1
(NCEPU: North China Electric Power University),
Guo Li1
Estimated H-index: 1
(NCEPU: North China Electric Power University)
Abstract
In this article, a way of fault detection for solar array is proposed. Using microcomputer technique, the electric current and voltage signal of each series branch is collected by Hall sensor. The difference of maximum current value and other values is used as the basis for determine fault. Then calculate each branch's deviation, the faulty solar series branch can be identified. According to voltage signal, it can determine the fault section in the branch. At last, failure message will be produced for maintainer's prompt attention.
  • References (3)
  • Citations (12)
📖 Papers frequently viewed together
2001
7 Authors (A.J. Mazon, ..., J. Saenz)
9 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References3
Newest
#1Henrik Lund (AAU: Aalborg University)H-Index: 54
This paper discusses the perspective of renewable energy (wind, solar, wave and biomass) in the making of strategies for a sustainable development. Such strategies typically involve three major technological changes: energy savings on the demand side, efficiency improvements in the energy production, and replacement of fossil fuels by various sources of renewable energy. Consequently, large-scale renewable energy implementation plans must include strategies for integrating renewable sources in c...
701 CitationsSource
#1D. Y. Goswami (UF: University of Florida)H-Index: 13
#2Sanjay Vijayaraghavan (UF: University of Florida)H-Index: 8
Last. Gunnar Tamm (UF: University of Florida)H-Index: 5
view all 4 authors...
Abstract Solar energy can potentially play a very important role in providing most of the heating, cooling and electricity needs of the world. With the emergence of solar photocatalytic detoxification technology, solar energy also has the potential to solve our environmental problems. However, we do not see widespread commercial use of solar energy. Some of the emerging developments in solar may change that situation. This paper describes some of the new and emerging developments, with special e...
138 CitationsSource
#1Radivoje Popovic (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 40
#2Z. Randjelovic (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 6
Last. D. Manic (EPFL: École Polytechnique Fédérale de Lausanne)H-Index: 7
view all 3 authors...
Integrated Hall magnetic sensors are used in automotive and computer industry. Their farther penetration into other applications is mainly hampered by the problems of switching noise and of offset and drift related to the packaging stress. The equivalent magnetic noise and offset can be dramatically reduced by integrating magnetic flux concentrators on the sensor chip. A promising way to eliminate the influences of packaging stress and temperature variations is to apply the self-calibration usin...
109 CitationsSource
Cited By12
Newest
view all 5 authors...
Photovoltaic arrays are prone to various failures due to long-term work. In order to quickly and accurately diagnose the type of failure of the PV array and implement online monitoring of the PV array, this paper proposes the BP neural network for PV array fault diagnosis, and proposes a network search method when training BP neural network. And the K-cross-validation method is used to select the number of hidden layer nodes. The BP neural network fault diagnosis model designed and trained by th...
Source
#1Leian Chen (Columbia University)H-Index: 2
#2Xiaodong Wang (Columbia University)H-Index: 61
The photovoltaic (PV) technology has experienced a rapid growth in deployment over the past years. To ensure the performance and safety of the PV system, it is necessary to develop techniques that can efficiently localize faults or failures that occur among its components. In this paper, a fast fault localization algorithm is proposed for PV systems under the sequential change detection framework. In particular, multiple output signals are measured at each string, and the time correlation of the...
7 CitationsSource
#1Leian Chen (Columbia University)H-Index: 2
#2Shang Li (Columbia University)H-Index: 3
Last. Xiaodong Wang (Columbia University)H-Index: 61
view all 3 authors...
Photovoltaic (PV) systems play an important role in contemporary electricity production as a ubiquitous renewable energy source. However, the performance of a PV system is susceptible to unexpected faults that occur inside its various components. In this paper, we propose a quickest fault detection algorithm for PV systems under the sequential change detection framework. In particular, multiple meters are employed to measure different output signals of the PV system. The time correlation of the ...
16 CitationsSource
#1Snehamoy Dhar (Siksha O Anusandhan University)H-Index: 7
#2Punyashlok Dash (Siksha O Anusandhan University)H-Index: 41
A new differential current-based fast fault detection and accurate fault distance calculation is proposed for photovoltaic (PV)-based DC microgrid. A multiterminal direct current (MTDC) distribution network is studied as an adequate solution for present low-voltage utility grid scenario, where local distributed generators (DGs) are incorporated primarily by power electronics based DC-DC converters, DC-AC voltage-source converters (VSCs). PV and diesel generator (as auxiliary source) are consider...
5 CitationsSource
#1Masoud Alajmi (WMU: Western Michigan University)H-Index: 1
#2Ikhlas Abdel-Qader (WMU: Western Michigan University)H-Index: 12
Photovoltaic (PV) electrical power generation is an important and promising research area because there is high demand for renewable energy systems. In order to improve the performance of PV array systems so that these energy systems might be better understood and made more readily available, further research needs to be done on various means of detecting faults on PV array and system monitoring. In this paper, we present a new technique for fault detection using current and voltage values in co...
3 CitationsSource
#1Mohd Nafis Akram (UCF: University of Central Florida)H-Index: 1
#2Saeed Lotfifard (WSU: Washington State University)H-Index: 15
In this paper, a health monitoring method for photovoltaic (PV) systems based on probabilistic neural network (PNN) is proposed that detects and classifies short- and open-circuit faults in real time. To implement and validate the proposed method in computer programs, a new approach for modeling PV systems is proposed that only requires information from manufacturers datasheet reported under normal-operating cell temperature (NOCT) conditions and standard-operating test conditions (STCs). The pr...
38 CitationsSource
#1Xu Xiaoli (BISTU: Beijing Information Science & Technology University)H-Index: 4
#2Chen Tao (BISTU: Beijing Information Science & Technology University)H-Index: 1
Last. Zuo Yunbo (BISTU: Beijing Information Science & Technology University)H-Index: 2
view all 3 authors...
The photovoltaic power generation directly converts the solar energy into electric energy through photovoltaic cell, which is an important way to solve energy shortage and environmental pollution. In order to raise the reliability and reduce costs of grid-connected photovoltaic power station, we analyze types of common faults and causes, and specify numerous devices and disperse layout, design wireless monitoring diagnosis system to realize wireless monitor and control for grid-connected photovo...
1 CitationsSource
#1Mahesh K. Banavar (ASU: Arizona State University)H-Index: 14
#2Andreas Spanias (ASU: Arizona State University)H-Index: 28
Last. Toru TakeharaH-Index: 1
view all 3 authors...
Although the solar energy industry has experienced rapid growth recently, high-level management of photovoltaic (PV) arrays has remained an open problem. As sensing and monitoring technology continues to improve, there is an opportunity to deploy sensors in PV arrays in order to improve their management. In this book, we examine the potential role of sensing and monitoring technology in a PV context, focusing on the areas of fault detection, topology optimization, and performance evaluation/data...
20 Citations
Mar 25, 2012 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Henry Braun (ASU: Arizona State University)H-Index: 6
#2S. T. Buddha (ASU: Arizona State University)H-Index: 3
Last. T. TakeharaH-Index: 2
view all 7 authors...
Photovoltaics (PV) is an important and rapidly growing area of research. With the advent of power system monitoring and communication technology collectively known as the “smart grid,” an opportunity exists to apply signal processing techniques to monitoring and control of PV arrays. In this paper a monitoring system which provides real-time measurements of each PV module's voltage and current is considered. A fault detection algorithm formulated as a clustering problem and addressed using the r...
39 CitationsSource
#1Tang Jianeng (NCEPU: North China Electric Power University)H-Index: 1
#2Zhu Yongqiang (NCEPU: North China Electric Power University)H-Index: 4
Last. Wang Wenshan (NCEPU: North China Electric Power University)H-Index: 1
view all 3 authors...
Based on the distinguishing characteristics of the output current and voltage for photovoltaic array working in different states, a novel voltage and current detection method was proposed in this paper compared to the original current and voltage method. Of this method, the fault position can be located precisely and quickly by analyzing the current and voltage variation of each branch, according to the characteristic that the output current as well as voltage of the fault branch is less than th...
16 CitationsSource