IEEE Power Engineering Review · 1983 · 19 citations · 0 references
EngineeringSystems EngineeringWind EngineeringGenerator OperationPower System ReliabilityReliabilityReliability ModelingWind Energy SystemsWind Turbine TechnologyGenerator ReliabilityPower System Reliability AnalysisPower System Reliability ModelingReliability PredictionSystem Reliability AssessmentSystem Reliability ModelingWind Turbine Reliability Analysis
Wind turbine outputs are correlated with wind speed, so turbine outputs cannot be treated as independent random variables. The study develops a method to assess the impact of wind generation on system reliability. The method combines wind turbine forced outage rates and variable power output due to wind speed variations, derives a cumulative distribution function for the windfarm, and convolves it with the system distribution function to integrate the windfarm into a Loss of Load Expectation program. The method enables calculation of a windfarm’s effective load‑carrying capacity and provides improved estimates of wind generation benefits to the overall system.
A method for determining the impact of wind generation on system reliability is developed. This method combines the effects of wind turbine forced outage rates and varying power output due to wind speed variations. Since individual wind turbines on a windfarm all have an output related to wind speed, each turbine's output cannot be assumed to be independent random variables. Because of this situation, special steps must be taken in der to arrive at the cumulative distribution function for the windfarm. This distribution function may be combined with the system distribution function using simple convolution and so the windfarm can be easily incorporated into a Loss of Load Expectation computer program. The method can then be used to determine the effective load carrying capability of a windfarm and also to supply better estimates of the benefits of wind generation to the overall system.