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A Two-Stage Energy Management Framework for a Microgrid Integrated with Renewable Energy Resource and Cryptocurrency Mining Farm
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Payman Rezaei   , Masoud AliAkbar Golkar *1 |
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Abstract: (213 Views) |
Cryptocurrencies, which represent a groundbreaking fusion of cryptography and financial currency, are gaining popularity across the globe. The surge in their use and value has led to an increased integration of cryptocurrency mining operations into the power grid. This integration poses new challenges for electrical networks, including heightened peak demand, substantial fluctuations in energy demand, and diminished network reliability. In response, governments and regulatory bodies are exploring strategies to mitigate the impact of cryptocurrency mining on the electrical infrastructure. This paper introduces a model for the operation of cryptocurrency mining devices, proposing an energy management framework for isolated microgrids that incorporate renewable energy sources and a cryptocurrency mining operation. The model is executed in two phases: day-ahead planning and real-time adjustment. The day-ahead planning aims to minimize operational costs, enhance reliability, and maximize income for the cryptocurrency mining operation. The real-time phase adjusts the initial schedule to minimize the costs associated with fluctuations over 15-minute intervals. Our findings reveal that the proposed model, when applied, can reduce operational costs by 20%. Furthermore, with a 40% increase in demand from the cryptocurrency mining operation, the reliability of the microgrid is improved by approximately 4.6%, assuming the mining farm operates at its nominal capacity. |
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| Keywords: Cryptocurrency mining farm, Machine learning, Multi-objective decision-making, Reliability, Social welfare |
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Type of Study: Research |
Received: 2024/03/7 | Accepted: 2025/02/14 | Published: 2025/04/8
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