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Abstract
This research introduces a groundbreaking approach that combines distributed generation and blockchain technology in microgrid systems, transforming the energy market. The key innovation lies in the creation of a peer-to-peer (P2P) energy trading system within community microgrids. By digitizing power distribution and harnessing the transparency, security, and efficiency of blockchain technology, this system enables a seamless and secure energy exchange. To optimize the performance of microgrids, distributed energy resources, battery storage, and smart meters are integrated. This integration empowers traditional power consumers to become prosumers by utilizing renewable resources such as wind power. This shift promotes local self-sufficiency while enhancing energy sustainability. Existing literature highlights several challenges associated with implementing market principles in low-voltage/medium-voltage systems, coordinating distribution operators, and developing user-friendly platforms for microgrid adoption. Furthermore, voltage and frequency fluctuations during periods of high electricity generation pose difficulties along with managing surplus energy effectively. Additionally, current feed-in tariffs for prosumers present notable obstacles. To overcome these challenges, this study proposes the implementation of a self-sustaining community microgrid system that facilitates energy trading. Utilizing blockchain technology allows it to mimic a decentralized microgrid energy market. In this peer-to-peer market model, the clearing price is determined based on customers' reactions to price fluctuations as an incentive for them to adjust their consumption patterns. To ensure seamless and automatic transactions among participants, a unique cryptocurrency named 'Cosmos' is introduced based on blockchain technology.
Original language | English |
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Title of host publication | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9798350331820 |
DOIs | |
Publication status | Published - 2023 |
Event | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 |
Publication series
Name | IECON Proceedings (Industrial Electronics Conference) |
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ISSN (Print) | 2162-4704 |
ISSN (Electronic) | 2577-1647 |
Conference
Conference | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 16/10/23 → 19/10/23 |
Keywords
- Artificial Intelligence
- Blockchain
- Convolutional Neural Network
- Forecasting
- Machine learning
- Solar PV
Fingerprint
Dive into the research topics of 'Revolutionizing Energy Markets with Distributed Energy Generation and Blockchain Technology: A Case Study of Agent-Based Modeling and GIS in Education City Community Housing, Qatar'. Together they form a unique fingerprint.Projects
- 1 Finished
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EX-QNRF-NPRPS-15: A Blockchain Community Solar Ecosystem for Qatar
Sanfilippo, A. P. (Lead Principal Investigator), Che Wanik, M. Z. (Principal Investigator), Boumaiza, A. (Principal Investigator), Fellow, P. D. (Post Doctoral Fellow), BOSCOVIC, P. D. (Post Doctoral Fellow), Kafood, M. M. (Engineer) & Bughenaim, M. S. (Engineer)
15/03/21 → 15/09/24
Project: Applied Research