Executive Summary : | Smart grid technology is being adopted around the world in order to achieve more efficient electricity transmission and distribution, as well as increased reliability. This is accomplished through the use of IoT enabled LoRaWan Technology to monitor real-time data on the health and performance of electrical equipment to the physical components in the system, transforming electrical power grids into smart grids. One of the important subsystems of an electrical apparatus is the insulating system. A failure in the insulating subsystem causes catastrophic damage to the power system network. As a result, investigating the deterioration and failure of insulating systems, which are critical for grid operation, is critical. This is accomplished by identifying diagnostic features of insulating systems that can be used to assess ageing and failure risk. Electrical insulation diagnostic measurements for outdoor polymeric insulating systems include rapid ageing and slow processes. Partial discharge, Space charge are the basic fast ageing mechanisms. Partial discharge has a short time to failure, which affects the reliability of the power system. Due to field enhancement produced by space charge in the insulation, the system's life is limited. Permittivity and dissipation factor, both of which are related to the whole or a substantial portion of insulation, are connected with slow ageing processes. The approach to detect the fast-aging and slow aging mechanisms of insulating structures is to smarten the grid through on-line predictive equipment diagnostics. As a result, smartening the grid will necessitate a solution based on on-board sensors that have been created for grid condition monitoring and can estimate the health of insulating fast and slow ageing mechanisms. The Internet of Things will allow for the exchange of relevant data generated by sensors, which will be assessed for decision-making based on which activities will be done in the health of both rapid and slow ageing mechanisms. |