Delay and energy efficiency optimizations in smart grid neighbourhood area networks

Abdullah Asuhaimi, Fauzun binti (2019) Delay and energy efficiency optimizations in smart grid neighbourhood area networks. PhD thesis, University of Glasgow.

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Smart grids play a significant role in addressing climate change and growing energy demand.
The role of smart grids includes reducing greenhouse gas emission reduction by providing alternative energy resources to the traditional grid. Smart grids exploit renewable energy resources into the power grid and provide effective two-way communications between smart grid domains for efficient grid control. The smart grid communication plays a pivotal role in coordinating energy generation, energy transmission, and energy distribution. Cellular technology with long term evolution (LTE)-based standards has been a preference for smart grid communication networks. However, integrating the cellular technology and the smart grid communication network puts forth a significant challenge for the LTE because LTE was initially invented for human centric broadband purpose. Delay and energy efficiency are two critical parameters in smart grid communication networks. Some data in smart grids are real-time delay-sensitive data which is crucial in ensuring stability of the grid. On the other hand, when abnormal events occur, most communication devices in smart grids are powered by local energy sources with limited power supply, therefore energy-efficient communications are required. This thesis studies energy-efficient and delay-optimization schemes in smart grid communication networks to make the grid more efficient and reliable. A joint power control and mode selection in device-to-device communications underlying cellular networks is proposed for energy management in the Future Renewable Electric Energy Delivery and Managements system. Moreover, a joint resource allocation and power control in heterogeneous cellular networks is proposed for phasor measurement units to achieve efficient grid control. Simulation results are presented to show the effectiveness of the proposed schemes.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: Wireless communication networks, smart grid communications.
Colleges/Schools: College of Science and Engineering > School of Engineering
Supervisor's Name: Bu, Dr. Shengrong and Imran, Professor Muhammad Ali
Date of Award: 2019
Depositing User: Mrs. Fauzun Abdullah Asuhaimi
Unique ID: glathesis:2019-75053
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 02 Oct 2019 14:54
Last Modified: 17 May 2022 11:55
Thesis DOI: 10.5525/gla.thesis.75053

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