2017 IEEE Power &Amp; Energy Society General Meeting 2017
DOI: 10.1109/pesgm.2017.8274250
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A wind farm reliability model considering both wind variability and turbine forced outages

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Cited by 11 publications
(18 citation statements)
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“…Forced outage of wind turbine generators also has a significant impact on the assessment of the power system. Two‐state Markov model is usually used to represent forced outage of the wind turbine [22]. Wind turbines forced outage rate r can be expressed as follows: r=tMTTRtMTTF+tMTTR where t MTTF is mean time to failure and t MTTR is mean time to repair.…”
Section: Wind/pv/energy Storage Hybrid Power System Modellingmentioning
confidence: 99%
“…Forced outage of wind turbine generators also has a significant impact on the assessment of the power system. Two‐state Markov model is usually used to represent forced outage of the wind turbine [22]. Wind turbines forced outage rate r can be expressed as follows: r=tMTTRtMTTF+tMTTR where t MTTF is mean time to failure and t MTTR is mean time to repair.…”
Section: Wind/pv/energy Storage Hybrid Power System Modellingmentioning
confidence: 99%
“…5a, P Captured > P Electric , the rotor speed increases and the kinetic energy of rotor blades will increase [3]. Under such circumstances, the wind turbine can be overloaded between 16 and 30% without violating the mechanical constraint of the turbine [3,[27][28][29]. Therefore, in the proposed scheme, 2 kW SCIG which will be operational over supersynchronous operating region can be considered as the overloading without affecting the normal performance of the system.…”
Section: Active Power Dynamics Of the Proposed Schemementioning
confidence: 99%
“…The reliability assessment of any power system component requires accurate modelling of their characteristics and applications. The existing literature has developed reliability models for wind [8], photovoltaics [9], electric vehicles [10], tidal power [11], static var compensators [1214], etc. A host of the literature has focused on exploring the reliability aspect of ESS.…”
Section: Introductionmentioning
confidence: 99%