Leveraging Bitcoin Mining Machines in Demand-Response Mechanisms to Mitigate Ramping-Induced Transients

Fuente: arXiv
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Autores principales: Ginzburg-Ganz, Elinor, Eyal, Ittay, Machlev, Ram, Baimel, Dmitry, Santosh, Leena, Belikov, Juri, Levron, Yoash
Formato: Preprint
Publicado: 2024
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author Ginzburg-Ganz, Elinor
Eyal, Ittay
Machlev, Ram
Baimel, Dmitry
Santosh, Leena
Belikov, Juri
Levron, Yoash
author_facet Ginzburg-Ganz, Elinor
Eyal, Ittay
Machlev, Ram
Baimel, Dmitry
Santosh, Leena
Belikov, Juri
Levron, Yoash
contents We propose an extended demand response program, based on ancillary service for supplying flexible electricity demand. In our proposed scheme, we suggest a broader management model to control the scheduling and power consumption of Bitcoin mining machines. The main aspect that we focus on is suppressing the power ramping and related transient effects. We extend previous works on the subject, that study the impact of incorporating cryptocurrency mining machines into existing power grid, and explore the potential profit of exploiting this flexible load in the Israeli electricity market. We analyze a trend based on historical data, of increasing electricity prices and ramping costs due to the increasing penetration of renewable energy sources. We suggest an extension to the unit commitment problem from which we obtain the scheduling scheme of the Bitcoin mining machines. We use simulation and the real-world data acquired from the "Noga" grid operator to verify the proposed ancillary service and test its practical limits for reducing the ramping costs, under changing ratio of energy production from renewable sources. Out results suggests that the machine price and ratio of production from renewable sources plays a significant role in determining the profitability of the proposed demand-response program.
format Preprint
id arxiv_https___arxiv_org_abs_2411_11119
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Leveraging Bitcoin Mining Machines in Demand-Response Mechanisms to Mitigate Ramping-Induced Transients
Ginzburg-Ganz, Elinor
Eyal, Ittay
Machlev, Ram
Baimel, Dmitry
Santosh, Leena
Belikov, Juri
Levron, Yoash
Systems and Control
We propose an extended demand response program, based on ancillary service for supplying flexible electricity demand. In our proposed scheme, we suggest a broader management model to control the scheduling and power consumption of Bitcoin mining machines. The main aspect that we focus on is suppressing the power ramping and related transient effects. We extend previous works on the subject, that study the impact of incorporating cryptocurrency mining machines into existing power grid, and explore the potential profit of exploiting this flexible load in the Israeli electricity market. We analyze a trend based on historical data, of increasing electricity prices and ramping costs due to the increasing penetration of renewable energy sources. We suggest an extension to the unit commitment problem from which we obtain the scheduling scheme of the Bitcoin mining machines. We use simulation and the real-world data acquired from the "Noga" grid operator to verify the proposed ancillary service and test its practical limits for reducing the ramping costs, under changing ratio of energy production from renewable sources. Out results suggests that the machine price and ratio of production from renewable sources plays a significant role in determining the profitability of the proposed demand-response program.
title Leveraging Bitcoin Mining Machines in Demand-Response Mechanisms to Mitigate Ramping-Induced Transients
topic Systems and Control
url https://arxiv.org/abs/2411.11119