Title: Anomaly detection and circuit-based categorisation of fault in PV systems

Authors: Divyanshi Srivastava; Navdeep Singh

Addresses: Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, (U.P.), India ' Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, (U.P.), India

Abstract: This paper includes the hybrid technique for anomaly detection and fault diagnosis in the PV systems. The sensor-based and sensorless fault detection techniques (FDTs) are not applicable in case of multiple fault detection in each string at the same time. The existing sensor-based FDTs have no alternative option in case of sensor failure conditions. To overcome the discussed problem, a hybrid technique is designed to prevent the PV system from serious fire hazards. The fault detection in case of sensor failure events can be solved by the sensorless anomaly detection technique. Furthermore, maximum power points-based anomaly technique uses the inflection point to identify the partial shading and fault conditions. To categorise the multiple fault conditions the n-th numbers of voltage sensors are used for n number of strings. The effectiveness of the hybrid technique is shown by several case studies and validated through OPAL-RT setup.

Keywords: open circuit fault; line to line fault; L-L fault; line to ground fault; L-G fault; partial shading; maximum power point tracking technique; MPP tracking.

DOI: 10.1504/IJPELEC.2024.141515

International Journal of Power Electronics, 2024 Vol.20 No.2, pp.152 - 179

Received: 17 Sep 2023
Accepted: 17 Mar 2024
Published online: 19 Sep 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article