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@article{191100,
        author = {Sachidananda M M and Sagar M N and Syed Shah E Alam},
        title = {AUTOMATIC PV GRID FAULT DETECTION AND ANALYSIS OF A SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5662-5664},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191100},
        abstract = {Photovoltaic (PV) systems are widely adopted as a sustainable energy source; however, their performance and reliability are often affected by electrical faults and environmental variations. Conventional PV installations rely on manual inspection and lack real-time monitoring, leading to delayed fault detection, increased downtime, and energy losses. This paper presents an IoT-based automatic PV grid fault detection and analysis system capable of continuously monitoring electrical and environmental parameters. The proposed system employs voltage and current sensors interfaced with an Arduino Mega 2560 for real-time data acquisition and fault decision-making. An ESP32 module enables wireless communication with the Blynk IoT application for live monitoring and fault alerts. A relay-based protection mechanism isolates faulty sections during abnormal operating conditions such as over-voltage, under-voltage, short-circuit, and open-circuit faults. Experimental results demonstrate accurate fault detection, quick response, and improved system reliability, making the proposed solution suitable for domestic and small-scale PV applications.},
        keywords = {Photovoltaic system, Internet of Things, fault detection, Arduino Mega 2560, ESP32, Blynk application.},
        month = {January},
        }