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Scheduling a Wind Hydro-Pumped-Storage Unit Considering the Economical Optimization

Milad Ghaisi, Milad Rahmani, Pedram Gharghabi, Ali Zoghi and Seyed Hossein Hosseinian
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Milad Ghaisi: Electrical and Computer Engineering Department - University of Nebraska–Lincoln - University of Nebraska System
Milad Rahmani: Department of Electrical Engineering - AUT - Amirkabir University of Technology
Pedram Gharghabi: Department of Electrical and Computer Engineering (Mississipi State, USA) - Mississippi State University [Mississippi]
Ali Zoghi: Department of Electrical Engineering - AUT - Amirkabir University of Technology
Seyed Hossein Hosseinian: Department of Electrical Engineering - AUT - Amirkabir University of Technology

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Abstract: In this paper a new approach has been introduced to find the optimum capacity of a wind farm to cooperate with a hydro-pumped-storage in order to maximize the income and optimize the payback period of their combination. First, Monte Carlo method has been used to generate the annual price and wind speed values. Then, an operating policy has been considered to schedule each unit generating and saving the produced energy by the wind farm. Subsequently, simulations have been carried out in MATLAB M-File environment to show the effectiveness of the presented method. Finally, results are presented in various circumstances to help the owner to select the optimum condition for constructing a wind hydro-pumped-storage system.

Keywords: wind hydro-pumped-storage; optimize the payback period; wind farm; pumped-storage; Monte Carlo (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-cmp and nep-ene
Note: View the original document on HAL open archive server: https://hal.science/hal-01478231
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in American Journal of Electrical and Electronic Engineering , 2017, 5 (1), pp.16-22. ⟨10.12691/ajeee-5-1-3⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01478231

DOI: 10.12691/ajeee-5-1-3

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