Journal of Energy Management and Technology

Journal of Energy Management and Technology

Energy Quality-Based Detection of Cryptocurrency Mining Loads: A Solution for Unauthorized Energy Consumption Monitoring

Document Type : Original Article

Authors
1 Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
2 Niroo Research Institute
3 Power System Operation and Planning Research Groupe, Niroo Research Institute
10.22109/jemt.2025.529673.1563
Abstract
Cryptocurrency mining, propelled by its high profitability and the availability of low-cost energy in certain regions, presents significant challenges to distribution networks, including unauthorized energy consumption, increased network loading, power theft, harmonic distortions, and degraded power quality. This paper introduces an innovative approach based on Harmonic State Estimation (HSE), which leverages the unique harmonic signatures of mining loads to accurately detect unauthorized cryptocurrency mining operations within distribution networks. The developed methodology could successfully identify the miners even in the presence of other harmonic-distorted loads such as steel industries, smelting plants, and textile factories. By analyzing harmonic measurements, harmonic power output, and power factor across various distinct scenarios involving varied harmonic loads alongside unauthorized mining activities, the proposed method precisely locates these operations. Implemented and validated using DigSILENT PowerFactory on standard test networks, the results underscore the method’s accuracy in differentiating mining activities from other harmonic sources, offering distribution network operators a robust tool to mitigate power theft, enhance network stability, and improve overall reliability.
Keywords

Subjects


[1]     S. Nakamoto, "Bitcoin: A peer-to-peer electronic cash system," Decentralized business review, 2008.
[2]     L. Wang et al., "Blockchain-based dynamic energy management mode for distributed energy system with high penetration of renewable energy," International Journal of Electrical Power & Energy Systems, vol. 148, pp. 108933, 2023.
[3]     X. Wang, Y. Liu, R. Ma, Y. Su, and T. Ma, "Blockchain enabled smart community for bilateral energy transaction," International Journal of Electrical Power & Energy Systems, vol. 148, pp. 108997, 2023.
[4]     M. Ortega, J. Hernández, and O. García, "Measurement and assessment of power quality characteristics for photovoltaic systems: Harmonics, flicker, unbalance, and slow voltage variations," Electric Power Systems Research, vol. 96, pp. 23-35, 2013.
[5]     S. Yanchenko, A. Kulikov, and S. Tsyruk, "Modeling harmonic amplification effects of modern household devices," Electric power systems research, vol. 163, pp. 28-37, 2018.
[6]     A. Abdali, K. Mazlumi, and A. Rabiee, "Harmonics impact on hotspot temperature increment of distribution transformers: Nonuniform magnetic-thermal approach," International Journal of Electrical Power & Energy Systems, vol. 157, pp. 109826, 2024.
[7]     P. Rodríguez-Pajarón, A. H. Bayo, and J. V. Milanović, "Forecasting voltage harmonic distortion in residential distribution networks using smart meter data," International Journal of Electrical Power & Energy Systems, vol. 136, pp. 107653, 2022.
[8]     Y. Wang, X. Wang, Z. Zhu, L. Zeng, and J. Yong, "Effects of harmonic induction on metallic pipeline caused by overhead power lines," International Journal of Electrical Power & Energy Systems, vol. 137, pp. 107758, 2022.
[9]     L. Arango, E. Deccache, B. Bonatto, H. Arango, P. Ribeiro, and P. Silveira, "Impact of electricity theft on power quality," in 2016 17th International Conference on Harmonics and Quality of Power (ICHQP), pp. 557-562, 2016.
[10]  M. Soleymani and A. Safdarian, "Unsupervised learning for distribution grid line outage and electricity theft identification," in 2019 Smart Grid Conference (SGC), pp. 1-5, 2019.
[11]  M. R. Islam, M. M. Rashid, M. A. Rahman, M. H. S. B. Mohamad, and A. H. B. Embong, "A comprehensive analysis of blockchain-based cryptocurrency mining impact on energy consumption," International Journal of Advanced Computer Science and Applications, vol. 13, 2022.
[12]  K. Sharma, A. Malik, and I. Isha, "An Efficient IoT Based Electricity Theft Detecting Framework For Electricity Consumption," in 2021 International Conference on Computing Sciences (ICCS), pp. 244-248, 2021.
[13]  G. Ahmad et al., "Load Modeling for Cryptocurrency Mining Devices Using System Identification and Machine Learning," in 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD), pp. 516-521, 2025.
[14]  K. A. Wheeler and A. W. Bowers, "A comparative power quality analysis of cryptocurrency mining loads," in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), pp. 1-5, 2019.
[15]  V. A. Katić, Z. J. Čorba, and A. M. Stanisavljević, "Effects of cryptocurrency mining rig operation on power quality in LV distribution network," 2022.
[16]  S. Almubarak, H. Ibrahim, D. Singhania, and P. Enjeti, "Energy Consumption and Power Quality in Bitcoin Mining Facilities in Texas," in 2023 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 742-749, 2023.
[17]  A.-S. Es' haghi, E. Afjei, A. Marini, and M. Karimi, "Detection of illegal cryptocurrency mining farms in distribution systems using harmonic state estimation," in 2023 13th Smart Grid Conference (SGC), pp. 1-6, 2023.
[18]  H. Delavaripour, H. Chenarani, A. Khazaee, and M. Ghasempour, "Identification of unauthorized mining farms using smart metering data," in CIRED 2021-The 26th International Conference and Exhibition on Electricity Distribution, pp. 1940-1943, 2021.
[19]  A.-S. Es' haghi, A. Marini, M. Karimi, and A. Abbaspour, "Application of harmonic state estimation for identification of illegal cryptocurrency mining farms," Electrical Engineering, vol. 107, pp. 12637–12652, 2025.
[20]  K. A. Wheeler, A. W. Bowers, C. H. Wong, J. Y. Palmer, and X. Wang, "A power quality and load analysis of a cryptocurrency mine," in 2018 IEEE Electrical Power and Energy Conference (EPEC), pp. 1-6, 2018.
[21]  M. Hajiaghapour‐Moghimi, K. Azimi Hosseini, E. Hajipour, and M. Vakilian, "An approach to targeting cryptocurrency mining loads for energy efficiency enhancement," IET Generation, Transmission & Distribution, vol. 16, pp. 4775-4790, 2022.
[22]  S. Park, S. Im, Y. Seol, and J. Paek, "Nodes in the bitcoin network: Comparative measurement study and survey," IEEE Access, vol. 7, pp. 57009-57022, 2019.
[23]  Y. Kwon, H. Kim, J. Shin, and Y. Kim, "Bitcoin vs. bitcoin cash: Coexistence or downfall of bitcoin cash?," in 2019 IEEE Symposium on Security and Privacy (SP), pp. 935-951, 2019.
[24]  J. J. Mesas, L. Sainz, and P. Sala, "Statistical study of personal computer cluster harmonic currents from experimental measurements," Electric Power Components and Systems, vol. 43, pp. 56-68, 2015.
[25]  A. Marini, L. Piegari, S. S. Mortazavi, and M.-S. Ghazizadeh, "A linear programming approach to distribution Power Flow," in 2017 6th International Conference on Clean Electrical Power (ICCEP), vol. 1, pp. 422-429, 2017.
[26]  A. Marini, M.-S. Ghazizadeh, S. S. Mortazavi, and L. Piegari, "A harmonic power market framework for compensation management of DER based active power filters in microgrids," International Journal of Electrical Power & Energy Systems, vol. 113, pp. 916-931, 2019.
[27]  H. Liao, "Power system harmonic state estimation and observability analysis via sparsity maximization," IEEE Transactions on Power Systems, vol. 22, pp. 15-23, 2007.
[28]  A. Marini, M. Shabanzadeh, and A. Esmaeili, "Power quality state estimation of power distribution systems: opportunities and challenges in observability enhancement," Active Electrical Distribution Network, pp. 243-284, 2022.
[29]  A. Marini, and M.-A. Latify, "Transmission‐constrained generation maintenance scheduling considering market‐based demand response," International Transactions on Electrical Energy Systems, vol. 26, pp. 1940-1960, 2016.
Volume 10, Issue 1
Winter 2026
Pages 13-22

  • Receive Date 11 June 2025
  • Revise Date 05 August 2025
  • Accept Date 14 September 2025