Review on Detection of Power Grid Synchronization

The modern power grid faces challenges in maintaining synchronization, reliability, and operational efficiency due to the increasing integration of renewable energy sources and complex load demands. Traditional grids rely heavily on manual inspection and reactive fault handling, leading to delayed detection of abnormalities such as voltage fluctuations, transformer overheating, and synchronization failures. This study proposes an IoT-based intelligent power grid monitoring and synchronization detection system that ensures real-time supervision, fault identification, and load management. The system employs sensors to measure parameters like voltage, current, frequency, and temperature, while microcontrollers process and transmit data to a cloud platform for real-time visualization. A synchronization detection module ensures stable interconnection between grids, preventing phase mismatches and power instability. By integrating automation, predictive analytics, and wireless communication, the system enhances operational reliability, minimizes downtime, and supports renewable energy integration. The proposed model aims to create a more resilient, efficient, and sustainable smart grid infrastructure suitable for modern energy demands.