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University of Nebraska - Lincoln
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
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Full-Text Articles in Physical Sciences and Mathematics
Risk-Based Machine Learning Approaches For Probabilistic Transient Stability, Umair Shahzad
Risk-Based Machine Learning Approaches For Probabilistic Transient Stability, Umair Shahzad
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Power systems are getting more complex than ever and are consequently operating close to their limit of stability. Moreover, with the increasing demand of renewable wind generation, and the requirement to maintain a secure power system, the importance of transient stability cannot be overestimated. Considering its significance in power system security, it is important to propose a different approach for enhancing the transient stability, considering uncertainties. Current deterministic industry practices of transient stability assessment ignore the probabilistic nature of variables (fault type, fault location, fault clearing time, etc.). These approaches typically provide a conservative criterion and can result in expensive …
Dc/Dc Converter For A Small Scale Wind Hydrogen System, Joel M. Jacobs
Dc/Dc Converter For A Small Scale Wind Hydrogen System, Joel M. Jacobs
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
An electronic converter is designed for an isolated renewable energy system. In this system, energy produced by a small wind turbine is used to extract hydrogen from water. Unique aspects of this application that affect the performance of the converter will be defined. Design considerations of the individual components will be discussed. Calculations on performance and validation of those calculations are also presented. Lastly, an economic analysis of the produced hydrogen will be performed.