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Analysis of the Required Energy Storage Capacity for Balancing the Load Schedule and Managing the Electric Energy Demand of an Apartment Building

Open Access
|Dec 2023

References

  1. Agwan, U., Poolla, K., Spanos, C. J., 2021. Optimal Composition of Prosumer Aggregations, IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), pp. 1–5. DOI: 10.1109/ISGTEurope52324.2021.9639902.
  2. Al_Issa, H., Drechny, M., Trrad, I., Qawaqzeh, M., Kuchanskyy, V., Rubanenko, O., Kudria, S., Vasko, P., Miroshnyk, O., Shchur, T., 2022. Assessment of the Effect of Corona Discharge on Synchronous Generator Self-Excitation, Energies, 15(6), DOI: 10.3390/en15062024
  3. Antal, M., Toderean, L., Cioara, T., Anghel, I., 2022. Hybrid Deep Neural Network Model for Multi-Step Energy Prediction of Prosumers, Appl. Sci., 12(11), DOI: 10.3390/app12115346.
  4. Balázs, I., Fodor, A., Magyar, A., 2021. Quantification of the Flexibility of Residential Prosumers, Energies, 14, 4860, DOI: 10.3390/en14164860.
  5. Drabecki, M., Toczyłowski, E., 2022. Multi-Objective Approach for Managing Uncertain Delivery from Renewable Energy Sources within a Peer-to-Peer Energy Balancing Architecture, Energies, 15(3), DOI: 10.3390/en15030675.
  6. Espe, E., Potdar, V., Chang E., 2018. Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions, Energies, 11(10), DOI: 10.3390/en11102528.
  7. Fedorchuk, S., Ivakhnov, A., Bulhakov, O., Danylchenko, D., 2020. Optimization of Storage Systems According to the Criterion of Minimizing the Cost of Electricity for Balancing Renewable Energy Sources, IEEE KhPI Week on Advanced Technology (KhPIWeek), 519–525. DOI: 10.1109/KhPIWeek51551.2020.9250155.
  8. Ikonnikova, S., Schlüter A., Brandner, B., 2022. The Rising Role of Prosumers in the Energy System, pp. 255–269. DOI: 10.3139/9783446471757.018.
  9. Jacobs, S. B., 2016. The Energy Prosumer, Ecol. LAW Q., 519, 62, DOI: 10.15779/Z38XS02.
  10. Karaiev, O., Bondarenko, L., Halko, S., Miroshnyk, O., Vershkov, O., Karaieva, T., Shchur, T., Findura, P., Prístavka, M., 2021. Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves, Acta Technologica Agriculturae, 24(3), 119–123, DOI: 10.2478/ata-2021-0020.
  11. Keles, R., Renewal Energy Sources, 2012, ResearchGate, p. 35:23–32, DOI: 10.1016/j.sbspro.2012.02.059.
  12. Khasawneh, A., Qawaqzeh, M., Kuchanskyy, V., Rubanenko, O., Miroshnyk, O., Shchur, T., Drechny, M., 2021. Optimal Determination Method of the Transposition Steps of An Extra-High Voltage Power Transmission Line, Energies, 14, 6791 DOI: 10.3390/en14206791.
  13. Kuźniak, R., Pawelec, A., Bartosik, A., Pawełczyk, M., 2022. Determination of the Electricity Storage Power and Capacity for Cooperation with the Microgrid Implementing the Peak Shaving Strategy in Selected Industrial Enterprises, Energies, 15(13), DOI: 10.3390/en15134793.
  14. Mahmood, A., Butt, A. R., Mussadiq, U., Nawaz, R., Zafar R., Razzaq, S., 2017. Energy sharing and management for prosumers in smart grid with integration of storage system, 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), 153–156.
  15. Medveď, D., Kolcun M., Pavlik, M., Bena, L., Mester, M., 2021. Analysis of Prosumer Behavior in the Electrical Network, Energies, 14, DOI: 10.3390/10.3390/en14248212.
  16. Merrad, Y., Habaebi, M. H., Toha, S. F., Islam, M. R., Gunawan, T. S., Mesri, M., 2022. Fully Decentralized, Cost-Effective Energy Demand Response Management System with a Smart Contracts-Based Optimal Power Flow Solution for Smart Grids, Energies, 15(12), DOI: 10.3390/en15124461.
  17. Miroshnuk, O.O., Tymchuk, S.O., 2013. Uniform distribution of loads in the electric system 0.38/0.22 kV using genetic algorithms, Technical Electrodynamics, 4, 67-73. http://www.scopus.com/inward/record.url?eid=2-s2.0-84885913005&partnerID=MN8TOARS
  18. Miroshnyk, O., Moroz, O., Shchur, T., Chepizhnyi, A., Qawaqzeh, M., Kocira, S., 2023. Investigation of Smart Grid Operation Modes with Electrical Energy Storage System. Energies, 16, 2638, DOI: 10.3390/en16062638.
  19. Mishra, K., Basu, S., Maulik, U., 2022. Load profile mining using directed weighted graphs with application towards demand response management, Applied Energy, 311, 118578, DOI: 10.1016/j.apenergy.118578.
  20. Mohammadi-Ivatloo, B., Jabari F., 2018. Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs. Cham: Springer International Publishing, DOI: 10.1007/978-3-319-75097-2.
  21. Padmanaban S., Holm-Nielsen J. B., Padmanandam K., Dhanaraj, R., Balusamy, B., 2022. Smart Energy and Electric Power Systems - 1st Edition, Accessed: Jul. 03, 2022. https://www.elsevier.com/books/smart-energy-and-electric-power-systems/padmanaban/978-0-323-91664-6.
  22. Parag, Y., Sovacool, B. K., 2016. Electricity market design for the prosumer era, Nat. Energy, 1(4), 16032, DOI: 10.1038/nenergy.2016.32.
  23. Pressmair, G., Amann, C., Leutgöb, K., 2021. Business Models for Demand Response: Exploring the Economic Limits for Small-and Medium-Sized Prosumers, Energies, 14(21), DOI: 10.3390/en14217085.
  24. Qawaqzeh, M.Z., Miroshnyk, O., Shchur, T., Kasner, R., Idzikowski, A., Kruszelnicka, W., Tomporowski, A., Bałdowska-Witos, P., Flizikowski, J., Zawada, M., Doerffer, K., 2021. Research of Emergency Modes of Wind Power Plants Using Computer Simulation, Energies, 14, 4780, DOI: 10.3390/en14164780.
  25. Sioshansi, F., 2019. Consumer, prosumer, prosumager: how service innovations will disrupt the utility business model, WA: Elsevier, Waltham.
  26. Social and Demographic Characteristics of Households of Ukraine. State Statistics Service of Ukraine, 2020. Accessed: May 21, 2022. [Online]. Available: www.ukrstat.gov.ua.
  27. Tutak, M.; Brodny, J.; Siwiec, D.; Ulewicz, R.; Bindzár, P.; 2020. Studying the Level of Sustainable Energy Development of the European Union Countries and Their Similarity Based on the Economic and Demographic Potential. Energies, 13, 6643. DOI: 10.3390/en13246643
  28. Tymchuk, S., Miroshnyk, O., 2015. Assess electricity quality by means of fuzzy generalized index, Easternt-European Journal of enterprise technologies, 3/4(75), 26-31, DOI: 10.15587/1729-4061.2015.42484.
  29. Ulewicz, R.; Siwiec, D.; Pacana, A.; Tutak, M.; Brodny, J.; 2021. Multi-Criteria Method for the Selection of Renewable Energy Sources in the Polish Industrial Sector. Energies, 14, 2386. DOI: 10.3390/en14092386
  30. Weiß, A., Biedenbach, F., Mueller, M., 2022. Probabilistic Load Profile Model for Public Charging Infrastructure to Evaluate the Grid Load, Energies, 15, 4748, DOI: 10.3390/en15134748.
  31. Xia-Bauer, C., Vondung, F., Thomas, S., Moser, R., 2022. Business Model Innovations for Renewable Energy Prosumer Development in Germany, Sustainability, 14(13), DOI: 10.3390/su14137545.
  32. Zdonek, I., Tokarski, S., Mularczyk, A., Turek, M., 2022. Evaluation of the Program Subsidizing Prosumer Photovoltaic Sources in Poland, Energies, 15(3), DOI: 10.3390/en15030846.
Language: English
Page range: 342 - 349
Submitted on: Nov 7, 2023
Accepted on: Dec 6, 2023
Published on: Dec 29, 2023
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2023 Magdalena Mazur, Stanislav Fedorchuk, Olexandr Kulapin, Andrii Ivakhnov, Dmytro Danylchenko, Oleksandr Miroshnyk, Taras Shchur, Serhii Halko, Adam Idzikowski, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.