7. LOAD SHARING BY PARALLEL TRANSFORMER HEALTH MONITORING
Authors
Yogesh Ravindra Khode, Mihir Soniram Gavit, Abhishek Vinod Reniwal, Pooja Ramdas Anap
DOI:
Abstract
Transformers are the main building block in a power system. Any damages in transformer adversely impacts a power system's balance. Overloading and inadequate cooling are the main causes of the dam ages.The primary goal the Internet of Things time distribution transformer health monitoring system. Servers are used to monitor, process, and record a transformer's parameters, including temperature, voltage, current, and oil level. To do this, we make use of sensors that are interfaced with Espwroom 32 microcontroller. The recorded data can be send using Wi -Fi module and accessed from anywhere around the world using IOT technology. This helps in identifying human dependency, and solving a problem before a failure without human monitoring.