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

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 49

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شناسه ملی سند علمی:

JR_JOAPE-12-4_004

تاریخ نمایه سازی: 28 بهمن 1402

چکیده مقاله:

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.

نویسندگان

H. Farahbakhsh

Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran

I. Pourfar

Department of Electrical Engineering, Jundi-Shapur University of Technology, Dezful, Iran

A. Lashkar Ara

Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran

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