Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Optimization of wind farm power generation using new unit matching technique

Abdel-Hamid, Radwan .H, Abu Adma, Maged A., Fahmy, Ashraf and Abdel Samed, Sherief F. 2009. Optimization of wind farm power generation using new unit matching technique. Presented at: 7th IEEE International Conference on Industrial Informatics (INDIN2009), Cardiff, Wales, 23-26 June 2009. Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on. pp. 378-383. 10.1109/INDIN.2009.5195834

Full text not available from this repository.

Abstract

This paper present a novel method for matching the wind farm with wind turbine generating units from the view point of site data and generator parameters. The paper focuses on selecting wind generator turbine parameters' in order to optimize the generated energy while maximizing the utilization of the wind power available at the location. The study presents an improvement to the site performance by identifying the best turbine parameters that should be erected at the selected site to maximize the power generation. The new method depends on introducing the new ranking parameter dasiaturbine selection index (TSI)psila that helps to match wind turbine with site data. For every wind site, TSI locates a unique point, at which the turbine develops its maximum performance characteristic and hence the optimal turbine parameters which match that can be located. The new method is applied for identifying the optimum wind turbine generator parameters for the wind farm promising sites in Egypt. The new method outstand old methods in the capital cost of generating units.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
ISBN: 9781424437597
Last Modified: 09 Jan 2018 17:12
URI: http://orca-mwe.cf.ac.uk/id/eprint/69254

Citation Data

Cited 11 times in Google Scholar. View in Google Scholar

Cited 9 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item