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Farahbakhsh, H., Pourfar, I., Lashkar Ara, A.. (1403). Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties. سامانه مدیریت نشریات علمی, 12(4), 312-325. doi: 10.22098/joape.2023.11310.1844
H. Farahbakhsh; I. Pourfar; A. Lashkar Ara. "Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties". سامانه مدیریت نشریات علمی, 12, 4, 1403, 312-325. doi: 10.22098/joape.2023.11310.1844
Farahbakhsh, H., Pourfar, I., Lashkar Ara, A.. (1403). 'Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties', سامانه مدیریت نشریات علمی, 12(4), pp. 312-325. doi: 10.22098/joape.2023.11310.1844
Farahbakhsh, H., Pourfar, I., Lashkar Ara, A.. Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties. سامانه مدیریت نشریات علمی, 1403; 12(4): 312-325. doi: 10.22098/joape.2023.11310.1844

Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties

Journal of Operation and Automation in Power Engineering
مقاله 4، دوره 12، شماره 4، اسفند 2024، صفحه 312-325    اصل مقاله (1.08 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.11310.1844
نویسندگان
H. Farahbakhsh1؛ I. Pourfar* 2؛ A. Lashkar Ara1
1Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
2Department of Electrical Engineering, Jundi-Shapur University of Technology, Dezful, Iran
چکیده
In this paper, virtual power plant (VPP) planning is done using distributed generation sources to create a safe platform for electricity exchange and to increase the profitability and sustainability of electricity. In the proposed model, the effect of micro-grid interaction with the electricity market in the presence of distributed generation resources and storage is investigated. To solve this problem, an improved artificial bee colony algorithm using the accept-reject method (AR-ABC) is used. The AR method is employed to limit the initial search space as well as for the scenario reduction process. Also, uncertainties related to loads and renewable sources are formulated in a sample micro-grid including micro-turbine (MT), fuel cell (FC), wind turbine (WT), photovoltaic cells (PV) and batteries for storage; the results are compared with those of other methods, which shows this method works better than others. The software simulations of this research are done in the MATLAB software environment.
کلیدواژه‌ها
Accept-reject method؛ Electricity market؛ Renewable energy sources؛ Uncertainty؛ Virtual power plant
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