MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 63
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شناسه ملی سند علمی:
JR_JOAPE-10-1_005
تاریخ نمایه سازی: 13 آبان 1402
چکیده مقاله:
Recently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hybrid microgrid, which includes photovoltaic (PV)/wind/energy storage, is investigated. It has been located in Iran-Khalkhal. The purposes of this study are optimal energy management and sizing of the microgrid. Since the magnitude of the harvested renewable energy deals severely and complexly with season and climate issues, planning of the system based on their specific values is an oversimplification. Therefore, in addition to conventional constraints such as environmental and operational ones, estimation of the wind speed at the site is considered. The Monte Carlo method is employed to model and estimate wind behavior. Also, for regulating production and demand in the microgrid the Demand Response (DR) program is conducted to improve the contribution of the renewable energy resources. The planning is constructed as an optimization problem. It is formulated as a Mixed Integer Linear Programming (MILP). By solving it, the size and production magnitude of energy sources, as well as storage conditions, are determined. Finally, the proposed method is simulated by GAMS for all seasons of two scenarios. The results show desirable energy management and cost reduction in the studied grid.
کلیدواژه ها:
Hybrid Microgrid ، Wind speed model ، Monte Carlo method ، Mixed integer linear programming ، demand response
نویسندگان
E. Naderi
Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
A. Dejamkhooy
Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
S.J. SeyedShenava
Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
H. Shayeghi
Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
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