Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems

Abstract

<jats:p>Synchronization and islanding detection represent some of the main issues for grid-connected photovoltaic systems (PVSs). The synchronization technique allows to achieve PVS high power factor operation and it provides grid voltage monitoring. The islanding detection control function ensures safe operation of the PVS. Focusing on low-power single-stage PVSs, in this study the most adopted and the highest performance synchronization and islanding detection methods are discussed. The role of the synchronization system is fundamental to detect the grid conditions, for the islanding detection purpose, and to manage the reconnection to the grid after a PVS trip. Hence a combined review is advantageous.</jats:p>

Grid-Connected PV Generation System—Components and Challenges: A Review

“…Generally, there are two types of islanding circumstances which are intentional and unintentional cases. The unintentional islands pose more tangible risks with high possibilities of damaging the electrical device due to the asynchronous re-closure, potential fire hazards to the personnel on-duty and safety issues.Up to date, there are various islanding detection methods have been reported in the literature [94][95][96]. Since PLL is the most common grid synchronization technique, there is plenty of derivation generated from this method.…”

A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

“…Anti-Islanding Protection: The aim of the protection scheme is to identify the abnormality in the system and disconnect the utilities from the DGs. There is much research on attaining fast detection times with a smaller non-detection zone [98]. Based on the method implemented to identify abnormality, the anti-islanding protection scheme is categorized into active [99], passive [100] and hybrid [101] islanding detection.…”

The Influence of Power Network Disturbances on Short Delayed Estimation of Fundamental Frequency Based on IpDFT Method with GMSD Windows

“…Monitoring the frequency of voltage waveforms in power supply networks is one of the most important parameters from the point of view of, e.g., power quality measurements [1,2] and power network protection automation devices, especially those occurring in inverters used in the photovoltaic industry [3][4][5]. In the first industry, incorrect estimation of the fundamental frequency of the waveform results in a so-called spectrum leakage, and consequently, in an increased uncertainty of measurement of spectral parameters such as harmonics and interharmonics.…”

“…On the other hand, incorrect estimation of the fundamental frequency in the second industry results in large power losses in the case of frequency mismatch between two different power systems and their phase synchronization [6]. This is important both in the case of cooperation among large power systems and also when connecting a large number of micro photovoltaic power plants to the power grid [4]. Inverters, which are a key component of such systems, must be equipped with disturbance-tolerant algorithms that estimate the instantaneous frequency of the electrical grid.…”