{"id":{"repo_id":"calgary","oai_identifier":"oai:ucalgary.scholaris.ca:1880/111824"},"canonical_url":"https://search.dev.ndltd.org/etd/calgary/oai:ucalgary.scholaris.ca:1880/111824","repository":{"repo_id":"calgary","name":"University of Calgary","base_url":"https://ucalgary.scholaris.ca/server/oai/request"},"display":{"title":"On Verification of Load Models for Frequency Response Using PMU Data","abstract":"During frequency excursions, not only generators respond to the frequency deviation. Most electric loads are sensitive to large variations in frequency that change their power consumption as a result. Therefore, load modeling is a crucial element in power system simulation, and a better understanding of load response in frequency excursion events is necessary. The main objective of this thesis is to investigate the performance of available load models used in the industry to represent the frequency response of system load elements during frequency excursion events in power system simulations. A dynamic simulation approach is proposed to investigate and evaluate the frequency response of an industrial load simulated with different load models recommended in the industry based on real-life frequency excursions. PMU data collected in Alberta’s grid is used for the scope of studies. Load models explored include CLOD, ZIP and exponential load models. Furthermore, measurement-based load modeling is defined to optimize the load model parameters to improve the accuracy of load response for frequency excursion studies. The performances of these optimized models are compared. The results provide a better understanding of load response and guidelines for choosing load models to be used in frequency excursion studies, to make better judgements in power system analysis and planning in terms of power system security and required balancing resources.","abstract_html":"During frequency excursions, not only generators respond to the frequency deviation. Most electric loads are sensitive to large variations in frequency that change their power consumption as a result. Therefore, load modeling is a crucial element in power system simulation, and a better understanding of load response in frequency excursion events is necessary. The main objective of this thesis is to investigate the performance of available load models used in the industry to represent the frequency response of system load elements during frequency excursion events in power system simulations. A dynamic simulation approach is proposed to investigate and evaluate the frequency response of an industrial load simulated with different load models recommended in the industry based on real-life frequency excursions. PMU data collected in Alberta’s grid is used for the scope of studies. Load models explored include CLOD, ZIP and exponential load models. Furthermore, measurement-based load modeling is defined to optimize the load model parameters to improve the accuracy of load response for frequency excursion studies. The performances of these optimized models are compared. 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The main objective of this thesis is to investigate the performance of available load models used in the industry to represent the frequency response of system load elements during frequency excursion events in power system simulations. A dynamic simulation approach is proposed to investigate and evaluate the frequency response of an industrial load simulated with different load models recommended in the industry based on real-life frequency excursions. PMU data collected in Alberta’s grid is used for the scope of studies. Load models explored include CLOD, ZIP and exponential load models. Furthermore, measurement-based load modeling is defined to optimize the load model parameters to improve the accuracy of load response for frequency excursion studies. The performances of these optimized models are compared. The results provide a better understanding of load response and guidelines for choosing load models to be used in frequency excursion studies, to make better judgements in power system analysis and planning in terms of power system security and required balancing resources."]},{"key":"dc:title","label":"Title","values":["On Verification of Load Models for Frequency Response Using PMU Data"]}]}],"canonical_facts":{"dc:contributor.advisor":["Zareipour, Hamidreza","Westwick, David T."],"dc:contributor.committeemember":["Nowicki, Edwin Peter","Sesay, Abu B."],"dc:creator":["Fung, Sin Yee"],"dc:date":["2020-06"],"dc:date.accessioned":["2020-04-21T15:32:27Z"],"dc:date.available":["2020-04-21T15:32:27Z"],"dc:date.issued":["2020-04-18"],"dc:description.abstract":["During frequency excursions, not only generators respond to the frequency deviation. Most electric loads are sensitive to large variations in frequency that change their power consumption as a result. 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