Comparative study of AC and DC smart residential complex advantages, disadvantages and applications
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran
الکلمات المفتاحية: energy management, operating costs, smart residential complex, voltage converters,
ملخص المقالة :
In this paper, energy management in a smart residential complex is investigated in both AC and DC modes. The contribution rate of solar and wind generators and the charging and discharging planning of the energy storage system is calculated to supply the load of the residential complex. To analyze the proposed method, a planning problem using three-price electricity tariff is used to show the efficiency of the energy storage system. Voltage converters in AC residential complex are more than DC residential complex. The greater number of converters makes the AC residential complex more complex. A large number of voltage converters and a decrease in efficiency in voltage converters cause more energy losses and higher operating costs. In the simulation part, the amount of required production power and the costs of power production in both AC and DC modes have been calculated. The results presented in this article show that with proper energy management, the DC smart residential complex will have lower operating costs than the AC smart residential complex.
[1] A. H. M. Mehbub Anwar, and Abu Toasin Oakil, “Smart Transportation Systems in Smart Cities: Practices, Challenges, and Opportunities for Saudi Cities,” Studies in Energy, Resource and Environmental Economics (SEREE), Springer, Pages 315–337, 01 October 2023.
[2] S. Bibri, J. Krogstie, A. Kaboli, and A. Alahi, “Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review,” Journal of Environmental Science and Eco technology, Vol. 19, May 2024.
[3] E. Tomayko, “Anecdotes: Electronic Computer for Home Operation (ECHO): The First Home Computer” IEEE Annals of the History of Computing. Vol. 16, No 3, Pages 59–61, 1994.
[4] Rye, Dave, "My Life at X10". AV and Automation Industry eMagazine. Archived from the original on 2016-10-15. Retrieved October 10, 2019.
[5] S. Makhadmeh, A. Khader, M. Al-Betar, S. Naim, A. Abasi, and Z. Alyasseri, “Optimization methods for power scheduling problems in smart home: Survey,” Journal of Renewable and Sustainable Energy Reviews, Vol 115, Pages 1-15, 2019.
[6] Yinqiu Liu;Kun Wang;Kai Qian;Miao Du;Song Guo, “ Tornado: Enabling Blockchain in Heterogeneous Internet of Things Through a Space-Structured Approach,” IEEE Internet of Things Journal, Vol 7, No 2, Pages 1-15, 2022.
[7] S. R. Zehra, J. Mu, B. V. Syiem, A. N. Burkitt, and D. B. Grayden, “ Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces,” IEEE Access Journal, Vol 11, Pages 87305 – 87315, July 2023.
[8] L. Ko, C. Stevenson, W. Chang, K. Yu, K. Chi, Y. Chen, and C. Chen, “Integrated Gait Triggered Mixed Reality and Neurophysiological Monitoring as a Framework for Next Generation Ambulatory Stroke Rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 29, Pages 2435 - 2444, November 2021.
[9] http://www.ontario-hydro.com/ index. php? Page = current_rates.
[10] C. A. Hans, P. Sopasakis, J. Raisch, C. Reincke-Collon, and P. Patrinos, “Risk-Averse Model Predictive Operation Control of Islanded Microgrids” IEEE Trans. Autom. Control, vol. 28, no. 6, pp. 2136 - 2151, 08 August 2019.