dc.contributor.author	Cugnet, Pierre	en
dc.contributor.committeechair	Mili, Lamine M.	en
dc.contributor.committeemember	Phadke, Arun G.	en
dc.contributor.committeemember	Liu, Yilu	en
dc.contributor.department	Electrical Engineering	en
dc.date.accessioned	2014-03-14T20:51:58Z	en
dc.date.adate	1997-07-17	en
dc.date.available	2014-03-14T20:51:58Z	en
dc.date.issued	1997-07-15	en
dc.date.rdate	1997-07-17	en
dc.date.sdate	1997-07-15	en
dc.description.abstract	The objective of this thesis is to estimate, for a distribution network, confidence intervals containing the values of nodal hourly power consumption and nodal maximum power consumption per customer where they are not measured. The values of nodal hourly power consumption are needed in operational as well as in planning stages to carry out load flow studies. As for the values of nodal maximum power consumption per customer, they are used to solve planning problems such as transformer sizing. Confidence interval estimation was preferred to point estimation because it takes into consideration the large variability of the consumption values. A computationally intensive statistical technique, namely the bootstrap method, is utilized to estimate these intervals. It allows us to replace idealized model assumptions for the load distributions by model free analyses. Two studies have been executed. The first one is based on the original nonparametric bootstrap method to calculate a 95% confidence interval for nodal hourly power consumption. This estimation is carried out for a given node and a given hour of the year. The second one makes use of the parametric bootstrap method in order to infer a 95% confidence interval for nodal maximum power consumption per customer. This estimation is realized for a given node and a given month. Simulation results carried out on a real data set are presented and discussed.	en
dc.description.degree	Master of Science	en
dc.identifier.other	etd-61697-14555	en
dc.identifier.sourceurl	http://scholar.lib.vt.edu/theses/available/etd-61697-14555/	en
dc.identifier.uri	http://hdl.handle.net/10919/36841	en
dc.publisher	Virginia Tech	en
dc.relation.haspart	Etd.pdf	en
dc.relation.haspart	Ch1.pdf	en
dc.relation.haspart	Ch2.pdf	en
dc.relation.haspart	Ch3.pdf	en
dc.relation.haspart	Ch4.pdf	en
dc.relation.haspart	Ch5.pdf	en
dc.relation.haspart	Ch6.pdf	en
dc.relation.haspart	Ch7.pdf	en
dc.relation.haspart	Lastfile.pdf	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Distribution Systems	en
dc.subject	Power Consumption Estimation	en
dc.subject	Confidence Intervals	en
dc.subject	Bootstrap Method	en
dc.title	Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method	en
dc.type	Thesis	en
thesis.degree.discipline	Electrical Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	masters	en
thesis.degree.name	Master of Science	en

Confidence Interval Estimation for Distribution Systems Power Consumption by Using the Bootstrap Method

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