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Optimization of microgrids on/off-grid to the electrification of residential load in Saida, Algeria

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Warianty tytułu
PL
Optymalizacja mikrosieci on/off-grid do elektryfikacji obciążenia mieszkalnego w Saida, Algieria
Języki publikacji
EN
Abstrakty
EN
This article presents the optimization implemented to give the optimal architecture for a microgrid (MG) with minimum cost. In this framework, three configurations had created using HOMER software. The first MG1 consists of a PV system, wind turbine, and a battery, all of the systems connected to a residential load of 11.2 kWh/d with a peak load demand of 2.11 kW in Saida, Algeria. The second MG2 is the same as MG1 with the addition of a diesel generator. The third MG3 is MG1 connected to the electrical grid. The results show that MG3 is the best configuration, with a TNPC of 14,054$, a COE (Cost Of Energy) of 0.269$/kWh, and a renewable fraction (RF) of 87.9%.
PL
W artykule przedstawiono optymalizację wdrożoną w celu uzyskania optymalnej architektury mikrosieci (MG) przy minimalnych kosztach. W ramach tego projektu stworzono trzy konfiguracje za pomocą oprogramowania HOMER. Pierwszy MG1 składa się z systemu fotowoltaicznego, turbiny wiatrowej i baterii, przy czym wszystkie systemy są podłączone do obciążenia mieszkalnego wynoszącego 11,2 kWh/d przy szczytowym zapotrzebowaniu na obciążenie 2,11 kW w miejscowości Saida w Algierii. Drugi MG2 jest taki sam jak MG1 z dodatkiem generatora diesla. Trzeci MG3 to MG1 podłączony do sieci elektrycznej. Wyniki pokazują, że MG3 jest najlepszą konfiguracją, z TNPC na poziomie 14 054 USD, COE (Koszt Energii) na poziomie 0,269 USD/kWh i frakcją odnawialną (RF) na poziomie 87,9%.
Rocznik
Strony
108--113
Opis fizyczny
Bibliogr.22 poz., rys., tab.
Twórcy
  • Electro-Technical Engineering Laboratory, Faculty of Technology, Saida University, Algeria
  • Electro-Technical Engineering Laboratory, Faculty of Technology, Saida University, Algeria
autor
  • Electro-Technical Engineering Laboratory, Faculty of Technology, Saida University, Algeria
  • Electro-Technical Engineering Laboratory, Faculty of Technology, Saida University, Algeria
Bibliografia
  • [1] Shah, Ahmad A., Khan, Zafar A., Altamimi, Abdullah, 2021. SARIMA and Holt-Winters method based microgrids for load and generation forecasting. In Przegląd Elektrotechniczny, vol.97, no. 12, pp. 38-44.
  • [2] Aziz, H., Fatiha, L., Djaffar, O. A., 2022. Experimental performance analysis of an installed microgrid-based PV/battery/EV grid-connected system. In Clean Energy, vol. 6, pp. 599–618.
  • [3] Aziz, H., Fatiha, L., Rachid, M. Djaffar, O. A., 2020. Solar energy and LED technologies for street lighting demand side management SLDSM. In Przegląd Elektrotechniczny, vol. 96, no. 4 pp. 33–38.
  • [4] Li, J., Wu, X., Xu, M., & Liu, Y., 2021. A real-time optimization energy management of range extended electric vehicles for battery lifetime and energy consumption. In Journal of Power Sources, 498, 229939.
  • [5] Nammouchi, A., Aupke, P., Kassler, A., Theocharis, A., Raffa, V., Felice, M. D.,2021, Integration of AI, IoT and Edge-Computing for Smart Microgrid Energy Management. In IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), pp. 1-6.
  • [6] Soliman, M. S., Belkhier, Y., Ullah, N., Achour, A., Alharbi, Y. M., Al Alahmadi, A. A., Abeida, H., & Khraisat, Y. S. H., 2021. Supervisory energy management of a hybrid battery/PV/tidal/wind sources integrated in DC-microgrid energy storage system. In Energy Reports, vol. 7, pp. 7728-7740.
  • [7] Roslan, M., Hannan, M., Jern Ker, P., Begum, R., Indra Mahlia, T., & Dong, Z., 2021. Scheduling controller for microgrids energy management system using optimization algorithm in achieving cost saving and emission reduction. In Applied Energy, 292, 116883.
  • [8] Botelho, D., Dias, B., de Oliveira, L., Soares, T., Rezende, I., & Sousa, T., 2021. Innovative business models as drivers for prosumers integration - Enablers and barriers. In renewable and Sustainable Energy Reviews, vol. 144, 111057.
  • [9] Hasankhani, A., & Hakimi, S. M., 2021. Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market. In Energy, vol. 219, 119668.
  • [10] Abdulaziz, A., 2022. Optimal design for a hybrid microgrid-hydrogen storage facility in Saudi Arabia. In Energy Sustainability and Society, vol. 12.
  • [11] Huiru. Z, Hao. L, Bingkang. L, Xuejie. W, Shiying. Z, Yuwei. W, 2020. Stochastic Optimization of Microgrid Participating Day Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response. In Energies, vol. 13.
  • [12] Hak-Ju. L, Ba-Hau. V, Rehman, Z. Sung-Wook. H, Il-Yop. C, 2021. Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency. In Energies, vol. 14.
  • [13] FATIN. I, et al., 2021. Techno-Economic and Power System Optimization of a Renewable Rich Islanded Microgrid Considering Different Dispatch Strategies. In IEEE Access, vol.9, pp. 77325-77340.
  • [14] Awan, M.M.A., Javed, M.Y., Asghar, A.B., Ejsmont, K., Zia-ur Rehman, 2022. Economic Integration of Renewable and Conventional Power Sources—A Case Study. In Energies, vol. 15.
  • [15] Al-Turjman, F., Qadir, Z., Abujubbeh, M., & Batunlu, C., 2020. Feasibility analysis of solar photovoltaic-wind hybrid energy system for household applications. In Computers & Electrical Engineering, vol. 86.
  • [16] Das, B. K., Alotaibi, M. A., Das, P., Islam, M., Das, S. K., & Hossain, M. A., 2021. Feasibility and techno-economic analysis of stand-alone and grid-connected PV/Wind/Diesel/Batt hybrid energy system. In Energy Strategy Reviews, vol 37.
  • [17] Kharrich, M., Mohammed, O. H., Alshammari, N., & Akherraz, M., 2021. Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system. In Sustainable Cities and Society, vol. 65.
  • [18] Çetinbaş, İ., Tamyürek, B., & Demirtaş, M. (2021). Sizingoptimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm. Energy Conversion and Management, vol. 245.
  • [19] oopshekan, A., Yousefi, H., & Astaraei, F. R., 2020. Technical, economic, and performance analysis of a hybrid energy system using a novel dispatch strategy. In Energy, vol. 213.
  • [20] Belboul, Z., Toual, B., Kouzou, A., Mokrani, L., Bensalem, A., Kennel, R., Abdelrahem, M., 2022. Multiobjective Optimization of a Hybrid PV/Wind/Battery/Diesel Generator System Integrated in Microgrid: A Case Study in Djelfa, Algeria.In Energies, vol. 15.
  • [21] Fodhil, F., Hamidat, A., & Nadjemi, O., 2019. Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria. In Energy, Vol 169, pp. 613-624.
  • [22] Mokhtara, C., Negrou, B., Bouferrouk, A., Yao, Y., Settou, N., & Ramadan, M., 2020. Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates. In Energy Conversion and Management, vol. 221.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2fa620e3-3782-4ddb-af40-675ded919272
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