A Survey on Anomalies and Faults That May Impact the Reliability of Renewable-Based Power Systems

• Published in: Sustainability 2024-07, Vol.16 (14), p.6042
• Main Authors: Mariani, Valerio, Adinolfi, Giovanna, Buonanno, Amedeo, Ciavarella, Roberto, Ricca, Antonio, Sorrentino, Vincenzo, Graditi, Giorgio, Valenti, Maria
• Format: Article
• Language: English
• Subjects: Air quality management; Air-turbines; Algorithms; Alternative energy; Artificial intelligence; Communication; Datasets; Electric power systems; Electricity; Electricity distribution; Energy minerals; Failure; Fault diagnosis; Fossil fuels; Fuel cells; Hydrogen; Investigations; Mathematical models; Monitoring systems; Renewable resources
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su16146042

The decarbonization of the electricity grid is one of the actions that can help reduce fossil fuel emissions, and thus their impact on global warming in the future. This decarbonization will be achieved mainly through the integration and widespread diffusion of renewable power sources. This is also going to be supported by the shift from the paradigm of production–transmission–distribution, where electricity production oversees large-size power plants, to renewable-based distributed/diffused production, where electricity is generated very close or even by the same (group of) user(s) (or prosumers in the latter case). The number of mid-/small-size installations based on renewable energy technologies will therefore increase substantially, and the related renewable generation will be dominant against that from large-size power plants. Unfortunately, this will very likely reduce the reliability of the grid, unless appropriate countermeasures are taken/implemented, hopefully at the same time that the paradigm shift is being achieved. To this aim, it is important to identify the anomalies and main fault causes that might possibly affect some of the central renewable (wind, PV, hydrogen) and ancillary technologies that will be used to establish future renewable-based power systems. Accordingly, this paper presents a literature survey, also extending the focus to related datasets that can be used for deeper investigation. It is highlighted that the gaps mainly refer to a lack of a common taxonomy that prevents the establishment of structured knowledge in the scope of renewable-based power systems, a lack of contributions to anomalies/faults specific to wind turbines, and a lack of datasets related to electrolyzers, fuel cells, DC/x conversion, and monitoring and communication systems. Further, in the case of monitoring and communication systems, the scientific literature is both very dated, therefore not considering possible new aspects that would be currently worthy of investigation, and not oriented toward the particular domain addressed, thus considering peculiar aspects that are left out.