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oai:recercat.cat:2117/4285422026-01-23T04:28:43Zcom_2072_1033col_2072_452950

Enhancing fraud detection in renewable energy grids through behind-the-meter PV disaggregation Jené Vinuesa, Marc Abdullah, Abdullah Aragüés Peñalba, Mònica Sumper, Andreas Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica Universitat Politècnica de Catalunya. CITCEA-UPC - Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments Àrees temàtiques de la UPC::Enginyeria elèctrica Àrees temàtiques de la UPC::Energies::Recursos energètics renovables Photovoltaic systems Correlation coefficient Renewable energy sources Refining Europe Fraud Smart grids Standards © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Detecting non-technical losses (NTL) in electrical grids with high renewable energy penetration presents unique challenges. This study proposes a methodology that combines a two-step behind-the-meter (BTM) photovoltaic (PV) disaggregation algorithm with an unsupervised fraud detection model to improve the detection rate in renewable energy grids. The methodology is validated using real-world data from the Ausgrid dataset, comprising several prosumers with BTM PV systems. The disaggregation algorithm accurately estimates the PV capacity with a Mean Average Percentual Error (MAPE) of 7.85%. Applying the disaggregation model improves fraud detection performance, increasing the Matthews Correlation Coefficient (MCC) from 0.654 to 0.747. These services have been developed and tested within the OMEGA-X European project. Postprint (author's final draft) 2024 Conference lecture Jené, M. [et al.]. Enhancing fraud detection in renewable energy grids through behind-the-meter PV disaggregation. A: IEEE Innovative Smart Grid Technologies Conference Europe. "IEEE PES ISGT Europe 2024: conference book: ISGT Europe 2024, 14-17 October 2024, Dubrovnik, Croatia". Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-5. ISBN 979-8-3503-9042-1. DOI 10.1109/ISGTEUROPE62998.2024.10863072 . 979-8-3503-9042-1 https://hdl.handle.net/2117/428542 10.1109/ISGTEUROPE62998.2024.10863072 eng https://ieeexplore.ieee.org/abstract/document/10863072 Open Access 5 p. application/pdf Institute of Electrical and Electronics Engineers (IEEE)