Smart Grid Integration for Sustainable City Energy Management: A Paradigm Shift in Power Distribution Networks
DOI:
https://doi.org/10.33042/2079-424X.2023.62.1.01Keywords:
Smart Grid, Sustainable energy management, Power distribution networks, Paradigm shift, Integration, Reliability, Efficiency, Wind power plantsAbstract
This study focuses on the investigation of collective intelligent systems in the context of energy management in modern distribution networks. The main objective of the research is to explore the potential of utilizing collective intelligent systems for achieving sustainable and efficient energy management in cities.
The study describes the concept of collective intelligent systems and their role in distribution networks. The research findings emphasize the importance of employing such systems for achieving optimal resource allocation, enhancing energy consump-tion efficiency, and promoting sustainable urban development.
A novel approach to smart energy management based on collective intelligent systems is discussed in the study. The results of the research demonstrate the ad-vantages of this approach, including more accurate and efficient energy management, reduction of losses, and improvement of network stability.
This work summarizes the significant research outcomes of collective intelligent systems in the context of energy management. It enhances understanding of the pos-sibilities and benefits of utilizing such systems in distribution networks and encour-ages further research for advancing energy management in cities.
References
Bhavani, N.; Kumar, R.; Panigrahi, B.; Balasubrama-nian, K.; Arunsundar, B. -S. (2022) Design and implemen-tation of iot integrated monitoring and control system of renewable energy in Smart Grid for sustainable compu-ting network.
Dhlamini, T. & Mawela, T. (2021). Critical measures for information technology and operational technology convergence without the energy sector. doi:10.1007/978-3-030-96299-9_41
Huang, P., Tu, R., Zhang, X., Han, M., Sun, Y., Hussain, S., & Zhang, L. (2022). Investigation of electric vehicle smart charging characteristics on energetic regu-lation performance in solar powered building communi-ties and battery degradation in Sweden. JOURNAL OF ENERGY STORAGE. doi:10.1016/j.est.2022.105907
Ipsen, K., Zimmermann, R., Nielsen, P., & Birkved, M. (2019). Environmental protection Smart City Solu-tions uses a concise urban metabolism life cycle impact assessment approach. INTERNATIONAL JOURNAL OF LIFE CYCLES ASSESSMENT, 1239-1253. doi:10.1007/s11367-018-1453-9
Nilsson, A., Wester, M., Lazarevic, D., & Brandt, N. (2018). Smart home, home, home energy management systems and real-time feedback: Lessons for influencing household energy consumption from a Swedish field study. ENERGY AND BELDING, 15-25. doi:10.1016/j.enbuild.2018.08.026
Parks, D. (. (2019). Energy efficiency left behem? Policy assemblages in Sweden's most climate-smart city. EUROPEAN PLANNING STUDIES, 27(2), 318-335. doi:10.1080/09654313.208
Pliuhin, V., & Tietieriev, V. (2021). Possibility of Implementation Analysis of Smart Grid Network in Current State Conditions of United Energy Systems of Ukraine. lighting Engineering & Power Engineering, 15-22. doi:10.33042/2079-424X.2021.60.1.03
Pliuhin, V., Tietieriev, V., & Lapko, A. (2021). Smart Grid Technologies is Concept of Innovative Energy De-velopment: Initial Proposals for the Development of Ukraine. Lighting Engineering and Power Engineering. doi:10.33042/2079-424X.2021.60.2.02
Sedai, A., Dhakal, R., Gautam, S., Sedhain, B., Thapa, B., Moussa, H., & Pol, S. (2023). Wind energy as a source of green hydrogen production in the USA. CLEAN EN-ERGY, 7, 8-22. doi:10.1093/ce/zkac075
Guru, RR, & Kumar, PS (2020). Self-restrained ener-gy grid with data analysis and blockchain techniques. Energy Sources, Part A: Recovery, Utilization and Envi-ron-mental Effects. https://doi.org/10.1080/15567036.2020.185 23412. Shukl, P., & Singh, B. (2020). Proficient operation of grid inter-faced solar PV system for power quality improvement during adverse grid conditions. IET Generation, Trans-mission & Distribution, 14(25), 6330–6337. https://doi.org/10.1049/iet-gtd.2020.1173
Sukhonos, M., Babaiev, V., Plyugin, V., Tietieriev, V., & Kudyakov, I. (2023). Load Forecasting and Electrici-ty Consumption by Regression Model. International Conference on Smart Technology in Urban Engineering. doi:10.1007/978-3-031-20141-7_28
Topel, M. & Grundius, J. (2020). Load Management Strategies to Increase Electric Vehicle Penetration-Case Study on Local Distribution Network in Stockholm. ENERGIES. doi:10.3390/en13184809
Zablodsky, MM, Plyugin, VE, Kovalchuk, SI, & Tietieriev, VO (2022). Stubborn poly-oriented control twin-screw electromechanical hydrolyzer. Electrical Engineering & Electromechanics. doi:10.20998/2074-272X.2022.1.01
Zheng, Y. (., & Weng, Q. (. (2020). Modeling Effect of Green Roof Systems and Photovoltaic Panels for Build-ing Energy Savings to Mitigate Climate Change. RE-MOTE SENSING, 12(15). doi:10.3390/rs22
The National Commission for State Regulation in the Energy and Utilities Sectors (2021-2023). Retrieved from NERCP: https://www.nerc.gov.ua/
Hilorme, T., Sokolova, L., Portna, O., Lysiak, L., & Boretskaya, N. (2019). Smart grid concept as a perspective for the development of the Ukrainian energy platform. IBIMA Business Review, 2019, 923814–923814. https://doi.org/10.5171/2019.923814
Ra, IH, & Kim, HJ (2020). Cost-effective outage management in smart grid under single, multiple, and critical fault conditions through teaching-learning algo-rithm. Energies, 13(23), 6205. https://doi.org/10.3390/en13236205
Woo, PS, & Kim, BH (2020). Contingency analysis to evaluate the robustness in large-scale smart grids: based on information security objectives and frequency stabil-ity. Energies, 13(23), 6267.https://doi.org/10.3390/en13236267
Jawhar, I., Mohamed, N., & Al-Jaroodi, J. (2018). Networking architectures and protocols for smart city systems. Journal of Internet Services and Applications, 9(1), 1–16. DOI: 10.1186/s13174-018-0097-0.
Roy, S., & Sen, A. (2021). A Self-Updating K-Contingency List for Smart Grid System. In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 341-346). DOI: 10.1109/CCWC51732.2021.9376067. Published: 2021. Indexed: July 31, 2021.
Al-Hinai, A., & Alhelou, HH (2021). A multi-agent system for distribution network restoration in future smart grids. Energy Reports, 7, 8083-8090. DOI: 10.1016/j.egyr.2021.08.186. Published: November 2021. Early Access: November 2021. Indexed: December 12, 2021.
Lin, YH (2022). Multi-population evolutionary computing based multi-agent smart distribution system service restoration. Journal of Supercomputing, 104(5), 3295-3311. DOI: 10.1007/s00202-022-01547-y. Published: October 2022. Early Access: April 2022. Indexed: April 20, 2022.
Abdelhamid, AM, Zakzouk, NE, & El Safty, S. (2022). A Multi-Agent Approach for Self-Healing and RES-Penetration in Smart Distribution Networks. Mathemat-ics,
10(13), 2275. DOI: 10.3390/math10132275. Published: July 2022. Indexed: July 20, 2022.
Nasri, M., Ginn, HL, III, & Moallem, M. (2021). Agent-Based Coordinated Control of Power Electronic Converters in a Microgrid. Electronics, 10(9), 1031. DOI: 10.3390/electronics10091031. Published: May 2021. In-dexed: June 4, 2021.
Rwegasira, D., Ben Dhaou, I., Ebrahimi, M., Hallen, A., Mvungi, N., & Tenhunen, H. (2021). Energy trading and control of islanded DC microgrid using multi-agent systems. Microprocessors and Microsystems, 17(2), 113-128. DOI: 10.3233/MGS-210345. Published: 2021. Indexed: September 17, 2021.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Lighting Engineering & Power Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors that are published in this journal agree with the following terms:
- The authors reserve the right of authorship of his work and pass to the journal the right of first publication of this work is licensed under a Creative Commons Attribution License, which allows others to freely distribute published work with reference to authors of original works and works first published in this journal.
- The authors have the right to enter into a separate additional agreement for non-exclusive distribution of work in the form in which it was published in the magazine (for example, to place work in electronic storage agencies or publish as part of the monograph), providing the reference to the first publication in this journal.
- Journal policy allows and encourages the placement by the authors on the Internet (eg, in storage facilities or personal websites) the manuscript of the works before the submission of the manuscript to the editor as well as during its editorial processing, as it contributes to productive scientific discussion and has a positive impact on efficiency and dynamics citing published work (see. The Effect of Open Access).
@LepeJournal