the purpose of this project is to build a platform consisting of hardware and software bits in the CompactRIO smart grid monitoring system. "Smart Grid" refers to technologies that are using computer-based remote control systems to operate electric power distribution systems. The first phase of the project identifies the CompactRIO hardware specification details. Extensive research was conducted at different combinations of the I/O module. The second phase identifies the software implementation of the system. LabVIEW Electrical Power, FPGA and Real-Time modules were used to produce the required data package. The final phase involves different data management approaches such as sending to Datasocket server and file storage. After successful completion of the platform, the network transmits the information over a twoway communication channel. The local engineers can use the data package to monitor the service condition and identify unexpected system problems. This project is particularly useful in demonstrating ways to improve and develop the smart grid by using LabVIEW modules.

The oil-immersed transformer is commonly used in modern electrical power systems, and it is also a crucial component in smart grids related to power efficiency and quality. Because of its complex electromagnetic characteristics, it is not viable to establish its thermal control model simply by conventional approaches, such as thermal balance, specific heat capacity and thermal field. In this paper, a dynamic thermal control model dependent on modern control theories, especially thermal-electrical analogy, will be presented. Plus, its mathematical model will be developed and explained step by step.