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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56393
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In recent years, power distribution networks across many regions have faced frequent failures, especially during heavy rainfall, strong winds, and cyclone conditions. These situations often result in transformer breakdowns, sudden power outages, safety risks, and prolonged service interruptions for consumers. To address this issue, we propose a Smart Energy Grid Monitoring System that integrates electrical parameter monitoring with climate-based analysis to improve grid reliability and operational safety. The system continuously monitors transformer parameters such as voltage, load, temperature, and oil level through a centralized dashboard. In addition to electrical data, substation-wise weather information including rainfall intensity, wind speed, and cyclone alert levels is collected and displayed in a dedicated weather table, enabling operators to assess environmental impact in real time. The platform ensures efficient and reliable grid operation through automated fault detection, real-time alerts, and precautionary messages for field teams. By analyzing combined electrical and climatic conditions, the system dynamically predicts outage risks and initiates automatic transformer shutdown during critical cyclone alerts. This approach reduces equipment damage, enhances safety, and supports informed decision-making for power utilities. This project demonstrates how smart grid technology and real-time analytics can be effectively applied to build resilient, weather-aware power distribution systems.
KEYWORDS
Publication Date
2/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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