Title:
An object-oriented distribution system distributed quasi-dynamic state estimator

dc.contributor.advisor Meliopoulos, A. P. Sakis
dc.contributor.author Xie, Boqi
dc.contributor.committeeMember Grijalva, Santiago Carlos
dc.contributor.committeeMember Molzahn, Daniel
dc.contributor.committeeMember Graber, Lukas
dc.contributor.committeeMember Deng, Shijie
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2020-09-08T12:48:31Z
dc.date.available 2020-09-08T12:48:31Z
dc.date.created 2020-08
dc.date.issued 2020-07-28
dc.date.submitted August 2020
dc.date.updated 2020-09-08T12:48:31Z
dc.description.abstract This dissertation develops an object-oriented distribution system distributed quasi-dynamic state estimator (DS-DQDSE) that constantly monitors the states of the distribution system and provides the validated data to the control center. In particular, the dissertation presents a distributed and seamless infrastructure starting from measurement data from sensors installed across distribution systems to estimated states and system model output from the state estimator. To automate the whole procedure as well as to guarantee the accuracy of the output results from the state estimator, an object-oriented physically based high-fidelity device modeling approach is adopted. Given measurements and device models from a selected section, a network-level measurement model is created. The network-level measurement model is augmented with derived, pseudo, and virtual measurements to achieve observability and increase redundancy. The measurement model is then processed by the state estimator, which provides the best estimates of the monitored system and the confidence level that evaluates if the measurements are consistent with the system model. The output of the state estimator including estimated states, estimated measurements, and validated model of the monitored system are then transmitted to the control center where the states and the model of the whole system are synthesized. Since the designed DS-DQDSE adopts quasi-dynamic state estimation (QDSE) while conventional state estimator adopts static state estimation (SSE), a comparison study between QDSE and SSE is presented. Furthermore, the developed DS-DQDSE is applied on two real feeder models. The results show that the developed DS-DQDSE is applicable to the distribution systems with DER penetration.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/63683
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Power system state estimation
dc.subject Quasi-dynamic state estimation
dc.subject Distribution system
dc.subject Object-oriented
dc.title An object-oriented distribution system distributed quasi-dynamic state estimator
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Meliopoulos, A. P. Sakis
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication e6c102d1-d39c-4d1d-9070-a8743be93cb5
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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