Print Email Facebook Twitter Review on islanding detection methods for grid-connected photovoltaic systems, existing limitations and future insights Title Review on islanding detection methods for grid-connected photovoltaic systems, existing limitations and future insights Author Bakhshi-Jafarabadi, Reza (Ferdowsi University of Mashhad) Sadeh, Javad (Ferdowsi University of Mashhad) Serrano-Fontova, Alexandre (The University of Manchester) Rakhshani, E. (TU Delft Intelligent Electrical Power Grids) Date 2022 Abstract The connection of renewable energy sources (RESs) to the distribution network has been rising at a steady pace over the past decades. The great penetration of RESs such as grid-connected photovoltaic system brings new technical challenges to the distribution networks such as unintentional islanding. Conceptually, this situation occurs when a portion of the network that has been isolated from the main grid remains energised by the embedded RESs. This unexpected scenario should be thereby identified effectively to avoid frequency and voltage deviations and their hazardous effects. The aim of this paper is to provide a comprehensive review on the recently developed islanding detection methods for grid-following/grid-connected photovoltaic system, analyse their existing limitations, and suggest possible future research implementations. In this context, an in-depth comparison is provided considering the main features used in islanding detection methods such as non-detection zone, detection time, implementation cost and complexity, and power quality degradation. Finally, the main technical requirements established by the current grid codes are recalled identifying potential multi-functional approaches to expand the current islanding detection capabilities. Subject Islanding detection method (IDM)Photovoltaic systemPower qualityNon-detection zone (NDZ)Microgrid To reference this document use: http://resolver.tudelft.nl/uuid:ea532beb-9197-49d3-b33d-cce352983f3f DOI https://doi.org/10.1049/rpg2.12554 ISSN 1752-1416 Source IET Renewable Power Generation, 16 (15), 3406-3421 Part of collection Institutional Repository Document type review Rights © 2022 Reza Bakhshi-Jafarabadi, Javad Sadeh, Alexandre Serrano-Fontova, E. Rakhshani Files PDF IET_Renewable_Power_Gen_2 ... oltaic.pdf 1.72 MB Close viewer /islandora/object/uuid:ea532beb-9197-49d3-b33d-cce352983f3f/datastream/OBJ/view