NDLI: Spare parts management algorithm for wind farms using structural reliability model and production estimation

Content Provider	IET Digital Library
Author	Mani, Sajjad Oraee, Ashknaz Oraee, Hashem
Abstract	Doubly fed induction generators (DFIGs) are widely used in wind power systems; hence their reliability model is an important consideration for production assessment and economic analysis of wind energy conversion systems. However, to date mutual influences of reliability analysis, production estimations and economic assessments of wind farms have not been fully investigated. This study proposes a reliability model for DFIG wind turbines considering their subcomponent failure rates and downtimes. The proposed production estimation algorithm leads to an economic assessment for wind farms. A comprehensive spare parts management procedure is then presented in the study. As a case study, practical data from a prominent wind farm is used and the procedure of the study is verified.
Starting Page	1041
Ending Page	1047
Page Count	7
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 7, Aug (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0469
Journal	IET Renewable Power Generation
Publisher Date	2016-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Asynchronous Generator Asynchronous Machine DFIG Wind Turbines Doubly Fed Induction Generator Economic Analysis Maintenance Engineering Plant Engineering, Maintenance And Safety Power Generation Economics Power Generation Fault Power Generation Reliability Power System Economics Power System Managemen Power System Operation Production Assessment Production Estimation Reliability Spare Parts Management Algorithm Structural Reliability Model Subcomponent Failure Rates Wind Energy Conversion System Wind Farm Wind Power Plant Wind Power System Wind Turbine
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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