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dc.contributor.advisorXie, Le
dc.creatorWiseman, Benjamin Patrick
dc.date.accessioned2019-01-23T19:40:33Z
dc.date.available2020-12-01T07:33:45Z
dc.date.created2018-12
dc.date.issued2018-08-28
dc.date.submittedDecember 2018
dc.identifier.urihttps://hdl.handle.net/1969.1/174421
dc.description.abstractDynamic load characteristics are becoming an increasingly important consideration for power systems with a large penetration of residential air conditioning. Residential air conditioner stalling in response to faults plays a large role in Fault-Induced Delayed Voltage Recovery events, which can degrade the operation of electric power systems. To further study this connection, this work seeks to tie load parameter variations directly to changes in assessed stability limits. This connection is first considered at an area-wide level, before a bus-level locational sensitivity metric is introduced. Stability limits are assessed using PowerWorld for power flow and dynamic simulations with differing dynamic load model parameters. With the area-wide method, dynamic load model parameters are considered uniform for all busses, and individual parameters are varied one at a time to assess the effect on the assessed stability limit. For the locational sensitivity metric, only parameters for one bus at a time are varied. Both approaches are investigated for 2-bus and 2,000-bus test cases. Using a practical definition of power system stability, test results allow some common assumptions about the effects of air conditioning motor stalling to be validated. For instance, it is shown that increasing the fraction of load composed of residential air conditioning can have a significant, negative impact on the assessed system stability limit, and that increasing the amount of residential air conditioning with undervoltage protection improves system response and stability. The locational sensitivity metric is used to identify which busses are most critical to the system response near the stability limit, and it provides a practical way of identifying which busses’ load model parameters may deserve further attention. The metric might also help justify the placement of dynamic reactive power support devices, such as static var compensators. These possibilities will be explored in future work.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectpower systemsen
dc.subjectdynamic load modelingen
dc.subjectparameter sensitivityen
dc.subjectpower system stabilityen
dc.subjectsynthetic networksen
dc.subjectair conditioner stallingen
dc.subjectfault-induced delayed voltage recoveryen
dc.subjectvoltage stabilityen
dc.subjecttransient stabilityen
dc.titleQuantifying the Effect of Air Conditioning Dynamics on Power System Stability Limitsen
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberChamberland, Jean-Francois
dc.contributor.committeeMemberNarcowich, Francis J.
dc.contributor.committeeMemberOverbye, Thomas
dc.type.materialtexten
dc.date.updated2019-01-23T19:40:34Z
local.embargo.terms2020-12-01
local.etdauthor.orcid0000-0002-5901-041X


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