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OverviewThis thesis develops a pioneering methodology and a concept for identifying critical loads and load model parameters in large power networks based on their influence on power system stability. The research described in the thesis first develops an automatic load modelling tool (ALMT) that can be used to automatically build load model from actual measured power system data without human intervention and the benefits of the ALMY are explored. Secondly, it develops a pioneering framework based on Morris screening method for ranking power system load model parameters based on their influence on overall power system stability (voltage, frequency, transient and small disturbance stability) considering different load models and loading conditions. Thirdly, a novel probabilistic methodology for determining the accuracy levels of critical load model parameters has been developed. This book will be of interest to students and researchers within the field of electrical engineering, as well as industry professionals. Full Product DetailsAuthor: Yue ZhuPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Weight: 0.454kg ISBN: 9783030377885ISBN 10: 3030377881 Pages: 164 Publication Date: 17 January 2021 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Power System Load Models and Load Modelling.- Power System Stability Indices.- Probabilistic Assessment and Sensitivity Analysis in Stability Studies.- Load Model Parameter Ranking for Different Types of Power System Stability Studies.- Factors Affecting Load Model Parameter Ranking.- Required Accuracy Level of Critical Load Model Parameters.- Conclusions and Future WorkReviewsAuthor InformationDr Yue Zhu gained his BEng in electrical engineering and PhD from the University of Manchester in 2015 and 2018 respectively. He has authored or co-authored 3 journal papers and 5 conference papers; one of these conference papers was commended at the Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion in 2018. Dr Zhu is now working at the State Grid Shanghai Energy Interconnection Research Institute. Tab Content 6Author Website:Countries AvailableAll regions |