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PhD Dissertation Final Oral Defense (May 2024)
Title of dissertation: A FRAMEWORK FOR PEER-TO-PEER (P2P) ELECTRICITY TRADING IN DISTRIBUTION NETWORKS
Name of Candidate: Ahmed Almarzooqi
Name of Supervisor: Dr. Ahmed Osman
Program: PhD in Engineering - Engineering Systems Management
Abstract
The introduction of the smart grid has resulted in many applications that have been developed and followed the concept of bidirectional flow of electricity and data. One of the pillars of smart grids is the distributed generation (DG) technologies, where the customers turn to be prosumers with power generation capability. Another pillar is demand side management (DSM), which helps in controlling the energy consumption by changing the power usage slots among other peers. DG and DSM have facilitated the sharing of excess power by customers to the grid, and then to their peers through the grid as a trading agent. Although the concept of peer-to-peer (P2P) energy trading integrated with DSM has been explored by scholars and relative trading frameworks have been established, there is very limited research on the impact of power quality (PQ) and supply reliability (SR) on electricity transactions. This research aims to explore the insight of the UAE people’s perception towards smart grid and energy trading, and to introduce a P2P electricity trading model that involves the PQ and SR as factors in the model. The proposed study will encounter the reliability performance of the participants, minimize the power quality impact, and manage the energy management system game theory. The study resulted in reduction of the trading cost through applying a profit sharing scheme and using reliability pricing scheme. It will provide a foundation base to the utilities as well as individuals to the changes in the electricity market structure.
For more information, please contact [email protected].