Developing a simple algorithm for photovoltaic array fault detection using matlab/simulink simulation




HIGHLIGHTS
  • What: The aim of this paper is to develop a straightforward algorithm predicated on photocurrent values at the PV string level and the overall current output of the PV array. In this paper, two main scenarios will be considered, where the current at the string level is compared between the reference and the faulty conditions. The study aimed to create a simple algorithm based on MATLAB/Simulink simulations to detect faults in a PV array.
  • Who: PV string and colleagues from the Department of Fundamental and Applied Science, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia have published the research work: Developing a Simple Algorithm for Photovoltaic Array Fault Detection Using MATLAB/Simulink Simulation, in the Journal: (JOURNAL) of 22/09/2023
  • Future: In future work this algorithm will be incorporated into a customized PV monitoring system and will be tested vigorously under real working conditions.
SUMMARY

    The deployment of monitoring and diagnostic systems is instrumental in the expedient identification and rectification of faults, thereby minimizing repair time and system downtime. Consequently, accurate energy prediction in standalone PV systems is paramount for the formulation of algorithms that facilitate fault detection. Technological advancements have refined the precision of energy predictions for PV systems through the adoption of new monitoring and diagnostic tools. Of particular note are off-grid PV systems, which are autonomous in generating electricity at a smaller scale through solar panels and storing it in batteries. Electricity generation in these systems is contingent upon a multitude of factors including, but not limited to, solar irradiance, temperature, shading, accumulation of debris, and loggers, and Laboratory Virtual Instrument Engineering Workbench (LabVIEW) data acquisition software, are characterized by their complexity and adaptability to gridconnected PV systems, rendering them unsuitable for smallscale standalone applications. Fault detection methodologies for PV systems are broadly categorized into process history-based and model-based approaches. Dhoke et_al advocated the generation of `residual` signals to automatically detect and pinpoint intra-string line-line faults in expansive PV systems. The aim of this paper is to develop a straightforward algorithm predicated on photocurrent values at the PV string level and the overall current output of the PV array. Preventing the hot spots by detecting when and where they occur in the PV module is crucial to reduce degradation over the PV system`s lifetime. showed that saturation and reverse saturation currents escalate with the temperature, leading to a reduction in current output. The model was used to observe photocurrent values at the PV string and the PV system`s current output. An approach for fault detection and location in solar PV systems. @@

LAY DEFINITIONS
  • Algorithm: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
  • Simulation: A simulation is an approximate imitation of the operation of a process or system that represents its operation over time. Simulation is used in many contexts, such as simulation of technology for performance tuning or optimizing, safety engineering, testing, training, education, And video games
  • Fault detection: Fault detection, isolation, and recovery is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis of the discrepancy between the sensor readings and expected values, derived from some model
  • Artificial intelligence: Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language

Licence: cc-by

Site reference: https://www.iieta.org/download/file/fid/117122

DOI reference: https://www.doi.org/10.18280/ijepm.080405

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source https://magazine.sciencepod.net/developing-a-simple-algorithm-for-photovoltaic-array-fault-detection-using-matlab-simulink-simulation/

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