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dc.contributor.authorIzadi, Milad; Mohammad, Farajollahi; and Hamed, Mohsenian-Rad-
dc.date.accessioned2019-07-29T14:42:09Z-
dc.date.available2019-07-29T14:42:09Z-
dc.date.issued2019-07-28-
dc.identifier.urihttp://item.bettergrids.org/handle/1001/537-
dc.description.abstract=============================================================================================== Distribution System State Estimation Milad Izadi, Mohammad Farajollahi, and Hamed Mohsenian-Rad University of California, Riverside July 2019 =============================================================================================== MATLAB [V_est] = DSSE_UCR(loc_pmu,loc_linesensor,ErrV,ErrI,ErrS) Input Arguments: 1) Location of micro-PMUs and line sensros; 2) Standard deviation of micro_PMUs, line sensor, and psuedo-measurement; 3) Network data including load data (available at loadata.mat) and branch data (available at Ybus.mat,Yfbrn.mat, and Ytbrn.mat). Output Arguments: Complex estimated voltage at all nodes Use the following MATLAB codes and sample input data to call the DSSE_UCR function (a test code is provided in Test_DSSE_UCR.mfile): loc_pmu = [1,12,28]; % Location of micro-PMU loc_linesensor = [ 18 22 7 30 15]; % Location of line sensor ErrV = 1; ErrI = 1; ErrS = 25; % Standard deviation [V_est] = DSSE_UCR(loc_pmu,loc_linesensor,ErrV,ErrI,ErrS)en_US
dc.publisherUniversity of California, Riversideen_US
dc.titleDistribution System State Estimation Algorithmen_US
dc.typeDataseten_US
grid.formatMATLABen_US
grid.buses0en_US
grid.generators0en_US
grid.loads0en_US
grid.feeders0en_US
grid.switches0en_US
grid.nodes0en_US
grid.voltages0en_US
grid.climateZones0en_US
grid.branches0en_US
grid.language.swmatlaben_US
Appears in Collections:Software Algorithm Collection

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