Abstract:
Since the introduction of Long Term Evolution (LTE) networks and now 5th Generation, cellular mobile
networks are turning into a great platform for universal massive data capture, communication, storage,
and processing. Cellular Wireless Network will offer more acceptable services for operation and realworld applications, especially the anticipation of the upcoming Smart Grids. Throughout this article,
we describe how the cellular wireless network, with its rise of Machine-Type Connectivity and the
notion of Mobile Edge Computing, provides a suitable setting for dispersed monitoring and control
operations in Smart Grids. In particular, we demonstrate in detail how Smart Grids could benefit from
enhanced distributed State Prediction models implemented within a cellular network setting. We present
an overview of highly scalable State Estimation techniques, focusing on those highly distributed
optimizations and likely statistical models, and explore their inclusion as part of the Cellular Smart Grid
activities. We also show the prototype utilizing both the software and the hardware implementation. As
a consequence, it was evident that the integration of the newest cellular wireless technologies into the
conventional power grid would boost its smartness, efficiency, security, power quality, and intelligent
communications amongst the distribution substations.
Description:
Supervised by
Prof. Dr. Rakibul Hasan Sagor,
Department of Electrical and Electronics Engineering (EEE),
Islamic University of Technology (IUT) ,
Board Bazar, Gazipur-1704, Bangladesh.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.