MILP based Optimal Design of Hybrid Microgrid by Considering Statistical ‎Wind Estimation and Demand Response

Document Type : Research paper

Authors

Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

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.

Keywords

References

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Journal of Operation and Automation in Power Engineering
Volume 10, Issue 1
April 2022
Pages 54-65

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History

  • Receive Date: 11 January 2021
  • Revise Date: 16 May 2021
  • Accept Date: 17 May 2021
  • First Publish Date: 29 May 2021

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