scholarly journals Reliability and maintenance of wind power systems

2020 ◽  
Vol 6 (3) ◽  
pp. 13-23
Author(s):  
Alexandru Marius VIIŞOREANU ◽  
◽  
Alina VIIŞOREANU-RĂCHIŢEANU ◽  
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Preventive Maintenance ◽  
Wind Power Generation ◽  
Wind System ◽  
Defect Analysis ◽  
Wind Power Systems ◽  
Main Components ◽  
Power Generation Systems

The paper presents the basics on the reliability and maintenance of wind power generation systems. The positive and negative practical aspects of the operation of a monitored wind system shall be analyzed and the strategies applied to perform maintenance of this system shall be presented in the most commonly known variants: Corrective maintenance, preventive maintenance and predictive maintenance. Defect analysis of the main components of the wind system is carried out in order to improve its reliability.

scholarly journals An Importance Analysis–Based Weight Evaluation Framework for Identifying Key Components of Multi-Configuration Off-Grid Wind Power Generation Systems under Stochastic Data Inputs

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4372 ◽  
Author(s):  
Lingling Bin ◽  
Haiyang Pan ◽  
Li He ◽  
Jijian Lian
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Wind Power Generation ◽  
Evaluation Framework ◽  
Electricity Production ◽  
Component Importance ◽  
Importance Analysis ◽  
Wind Power Systems ◽  
Power Generation Systems

Wind power systems have great potential due to its inexhaustible nature and benign environmental impacts. Especially in remote areas, where wind is plentiful, but it is difficult to get grid-connected power, an off-grid wind power system is an effective alternative for power supply. Reliable and safe operation of the generating system are essential for electricity production and supply. Importance analysis to identify key components of the system is a critical part of reliability assessment. This paper proposes an importance analysis–based weight evaluation framework for identifying key components of multi-configuration off-grid wind power generation systems under stochastic inputs. In the framework, the joint importance analysis based on Birnbaum importance and Criticality importance are introduced to analyze the system reliability and failure rate. Wind speed with stochastic characteristics, load demand with multiple scenarios, and energy transfer with different paths are also merged into the evaluation framework. The results reveal that the rectifier, battery, discharge load, and valve controller dominate the reliability of the off-grid wind power generation system. High priority should be placed on these components during the design phase and maintenance stage. The proposed approach is a positive step forward in promoting component importance analysis and providing more theoretical supports in system design, reliability analysis, and monitoring scheme formulation.

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