Title:
A fast quasi-static time series simulation method using sensitivity analysis to evaluate distributed PV impacts

dc.contributor.advisor Grijalva, Santiago
dc.contributor.author Qureshi, Muhammad
dc.contributor.committeeMember Saeedifard, Maryam
dc.contributor.committeeMember Graber, Lukas
dc.contributor.committeeMember Meliopoulos, A. P. Sakis
dc.contributor.committeeMember Augenbroe, Godfried L.
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2019-08-21T13:50:43Z
dc.date.available 2019-08-21T13:50:43Z
dc.date.created 2019-08
dc.date.issued 2019-04-30
dc.date.submitted August 2019
dc.date.updated 2019-08-21T13:50:43Z
dc.description.abstract A novel application of sensitivity analysis to evaluate solar photovoltaic (PV) impacts on power distribution systems is proposed. The fast Quasi-Static Time Series (QSTS) algorithm, developed in this work, accurately estimates both the voltage and current-related solar PV impacts in distribution feeders with various voltage regulation (VR) devices, including load tap changing transformers, line voltage regulators, switching capacitor banks and smart inverters. The sensitivity coefficients for each node are estimated using a novel regression based perturb-and-observe technique, which is scalable to any number of input time series profiles and VR devices. These sensitivity coefficients represent a local linearization of the nonlinear AC power flow manifold (PFM), and allow for a quick estimation of the nodal voltage and branch current magnitude. Furthermore, the impact of VR device operation on the PFM is extensively investigated. It is shown that a change in VR device state causes discontinuities in the PFM, which requires recomputation of the network sensitivities. The proposed algorithm shows an average speed gain of 150 times over the brute-force QSTS method while maintaining low error thresholds. These findings suggest that linear sensitivities can be leveraged to accurately analyze distributed generation impacts.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61688
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Distribution system analysis
dc.subject Sensitivity analysis
dc.subject Power system control and operation
dc.subject Multiple regression
dc.subject Power flow manifold
dc.subject Massive solar photovoltaic integration
dc.subject Time series analysis
dc.title A fast quasi-static time series simulation method using sensitivity analysis to evaluate distributed PV impacts
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Grijalva, Santiago
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication cc9a9ac1-2cc3-4c78-8427-5871088600ef
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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