Energy community in the task determining the origin of electricity from low-carbon energy sources for consumers

Milan Belik(1), Iryna Hunko(2,3), Olena Rubanenko(1,2,3,4),

1. Department of Electrical Power Engineering. University of West Bohemia. Univerzitni 8, 30614 Plzen (Czech republic)

2. Institute of Renewable Energy, 50, Metrological St., Kyiv region, c. Kyiv, 03143, Ukraine,

3. Research and Innovation Centre for Electrical Engineering, University of West Bohemia. Univerzitni 8, 30614 Plzen (Czech Republic)

4 Department of electric station and system, Vinnytsia National Technical University. 95 Khmelnytske shose, 21021, Vinnytsia, Ukraine

2025-07-25

. In the paper implementation in Ukraine of the 5Ds strategy is discussed. The Energy Community is one of the approaches to implementing the 5Ds strategy. Citizens want to use electricity produced from low-carbon energy sources. The paper focuses on the possibility of applying a method for calculating individual components of electricity flows in the branches of an electric power grid caused by generation and consumption in the nodes. In particular, it is about estimating the portion of electricity of a particular consumer that it receives from low-carbon energy sources (LCES). The method is based on methods and algorithms for calculating steady-state modes of power grids. The method is based on a mathematical model for determining the components of power flows in the branches of an electrical grid, which uses the coefficients of current distribution in the branches of the circuit from nodes with generation sources and nodal voltages. Since LCES, including renewable sources of energy (RSE) plants and nuclear power plants in electric power systems (EPS), use general power grids to transmit the electricity it generates, determining their share of power in the flows allows taking into account the impact of different sources of generation on the parameters of the EPS mode. In this paper, the steady-state mode of a 14-node circuit with different energy sources, including renewable energy sources, is calculated. In particular, by calculations using the method of guaranteed electricity origin, power flows in the branches of the electrical circuit and power losses in them were determined. The results of computer modelling in the Power Factory software complex are commensurate with the results of calculations, which confirms the adequacy of the method.

Key words: origin of electricity, energy community, mathematical model, computer modelling, low-carbon energy sources, renewable sources of energy, matrix of LCES power distribution coefficients.

[1] Fuchs, I., et al. (2024). "Decentralization, decarbonization and digitalization in swarm electrification." Energy for Sustainable Development 81: 101489.

[2] Moghaddam, M. P., et al. (2022). 2 - 5D Giga Trends in future power systems. Decentralized Frameworks for Future Power Systems. M. P. Moghaddam, R. Zamani, H. H. Alhelou and P. Siano, Academic Press: 19-50.

[3] Vormedal I., Bjander J., Lie Larsen M., Byskov Lindberg M. (2023). Technological Change and the Politics of Decarbonization. A Re-making of Vested Interests, Environmental Innovation and Societal Transitions, Volume 47, 100725, ISSN 2210-4224. doi.10.1016/j.eist.2023.100725.

[4] Moreno, J., Campagnolo, L., Boitier, B. et al. (2024). The impacts of decarbonization pathways on Sustainable Development Goals in the European Union. Commun Earth Environ 5, 136. doi.org/10.1038/s43247-024-01309-7.

[5] Brecha, R.J., Ganti, G., Lamboll, R.D. et al. (2022). Institutional decarbonization scenarios evaluated against the Paris Agreement 1.5 °C goal. Nat Commun 13, 4304. doi.org/10.1038/s41467-022-31734-1/

[6] ‘Stanbery B. J., Van de Lagemaat J. (2023). Disruptive Photovoltaic Technologies Can Accelerate Global Decarbonization. IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, pp. 31-34. doi:10.1109/GreenTech56823.2023.10173795.

[7] Balcu I. et al. (2019). Decarbonization of Low Power Applications through Methanation Facilities Integration. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, pp. 1-5. doi:10.1109/ISGTEurope.2019.8905506.

[8] Smith B. L., Woodhouse M., Feldman D., Margolis R. (2021). Towards Decarbonization: Establishing a Sustainable, Equitable, Diverse Workforce in the U.S. Photovoltaic Industry. IEEE 48th Photovoltaic Specialists Conference (PVSC), Fort Lauderdale, FL, USA, pp. 2632-2636. doi:10.1109/PVSC43889.2021.9518581.

[11] Basok B. I., Butkevych O. F., Dubovskyi S. V. (2021). Technical and economic aspects of decarbonisation prospects assessing of the interconnected power system of Ukraine. Technical Electrodynamics, 5, 55-62. http://jnas.nbuv.gov.ua/article/UJRN-0001265929

[12] Wimmers, A., Reinhard M., (2023). The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty. Energies, 17. 104. 10.3390/en17010104. https://doi.org/10.3390/en17010104.

[13] Gkarakis, K.; Dagoumas, A. (2016). Assessment of the implementation of Guarantees of Origin (GOs) in Europe. Engineering and Industry Series, Volume Power Systems, Energy Markets and Renewable Energy Sources in South-Eastern Europe. doi.org/10.22618/TP.EI.20163.389011.

[14] Alexander Wimmers, Reinhard Madlener (2023). The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty. Energies 17(1):104, Based_Evaluation_of_Trading_under_Uncertainty, accessed Aug 05 2024, doi.org/10.3390/en17010104.

[15] PEX SPOT. (2022). Successful start of Pan-European Spot Market for Guarantees of Origin: First Auction Completed by EPEX SPOT with Clearing and Delivery through ECC and EEX.. Available online: https://www.epexspot.com/en/news/successful-start-pan-european-spot-market-guarantees-origin [accessed Aug 05 2024].

[16] The European Market for Guarantees of Origin for Green Electricity: A Scenario-Based Evaluation of Trading under Uncertainty. Available from: https://www.researchgate.net/publication/376802131_The_European_Market_for_Guarantees_of_Origin_for_Green_Electricity_A_Scenario-Based_Evaluation_of_Trading_under_Uncertainty [accessed Aug 05 2024].

[17] Robert, L. (2022). Guarantees of Origin Market Developments. GO Market Review.

[18] O. Rubanenko, M. Belik and P. B. Bobba, "Simulation of Energy Cooperatives in Ukraine Grid with High Level Integration of Renewable Energy Sources," 2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 2024, pp. 1-5, doi: 10.1109/RTUCON62997.2024.10830856.

[20] Rubanenko, O., et al. (2024). Implementing European Experiences of Energy Community Strategy Based on High Utilization of Renewable Energy Sources to Distributed Power Grids in Ukrainian Conditions. Proceedings of the 2024 24th International Scientific Conference on Electric Power Engineering, EPE 2024.

[21] Mendicino, L., Menniti D., Pinnarelli A., Sorrentino N., (2019). Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study. Applied Energy. Volume 253253. doi.org/10.1016/j.apenergy.2019.113577.

[22] Baringa Partners LLP (2020). A Market Study including an assessment of potential financial instruments to support renewable energy Commercial Power Purchase Agreements.

[23] Bialek J. Tracing the Flow of Electricity. IEE Proc.-Gener. Transm. Distrih, Vol. 143, No 4, July pp. 313-320.

[24] Kirschen D., Allan R., Strbac G. Contributions of individual generators to loads and flows. IEEE Transactions on Power Systems, Volume. 12, pp. 52-60, Feb. 1997. doi:10.1109/59.574923.

[25] Tranberg, Bo., Thomsen B A., Rodriguez A R., Gorm B. A. (2015). Power flow tracing in a simplified highly renewable European electricity network. New Journal of Physics. № 17. DOI:10.1088/1367-2630/17/10/105002

[27] Hunko I.O., Kudrya S.O., Komar V.O., Lezhnyuk P.D., (2024). Mathematical model and algorithm for determining the origin of the consumer's electricity from renewable energy sources in the electric power system. Renewable energy. Volume 2(77). ‒ P. 6‒12.

[28] Lezhniuk P.D. Hunko I.O. (2024). Mathematical model of determining the origin of the consumer's electricity from RSE to the electric power system Renewable energy and energy efficiency in the XXI century: materials of the XXIV international scientific and practical conference. Institute of Renewable Energy of the National Academy of Sciences of Ukraine ‒ pp. 97 ‒ 99. doi.org/10.36296/renewable.conf.22-24.05.2024

[29] S. Halko, K. Halko, O. Suprun, M. Qawaqzeh and O. Miroshnyk, "Mathematical Modelling of Cogeneration Photoelectric Module Parameters for Hybrid Solar Charging Power Stations of Electric Vehicles," 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine, 2022, pp. 1-6, doi: 10.1109/KhPIWeek57572.2022.9916397

[30] G. S. Lakshmi, O. Rubanenko and I. Hunko, "Control of the Sectioned Electrical Network Modes with Renewable Energy Sources," 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Hyderabad, India, 2021, pp. 1-6, doi: 10.1109/SeFet48154.2021.9375781.

[31] G. Sree Lakshmi, O. Rubanenko and I. Hunko. Renewable Energy Generation and Impacts on E-Mobility. Journal of Physics: Conference Series, Volume 1457, 2019 12th International Conference on Computer and Electrical Engineering 6–8 November 2019, TU Delft, Netherlands J. Phys.: Conf. 2020. Ser. 1457 012009. DOI: 10.1088/1742-6596/1457/1/012009

[32] S. Halko, O. Suprun and O. Miroshnyk, "Influence of Temperature on Energy Performance Indicators of Hybrid Solar Panels Using Cylindrical Cogeneration Photovoltaic Modules," 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine, 2021, pp. 132-136, https://doi.org/10.1109/KhPIWeek53812.2021.9569975