Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor

In distribution system, bus load estimation is complicated because system load is unstable data and usually monitored at only a few points. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed sporadically. In general, the only infor...

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Main Author: Md Nor, Mohamad Naim
Format: Thesis
Language:English
Published: 2007
Online Access:https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf
https://ir.uitm.edu.my/id/eprint/84496/
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spelling my.uitm.ir.844962024-02-23T03:27:55Z https://ir.uitm.edu.my/id/eprint/84496/ Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor Md Nor, Mohamad Naim In distribution system, bus load estimation is complicated because system load is unstable data and usually monitored at only a few points. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed sporadically. In general, the only information commonly available regarding loads, other than major distribution substations and equipment installations, is billing cycle customer kWh consumption or load in per unit (p.u) term. In order to model system uncertainty, inexactness, and random nature of customers demand, an average alignment approach is proposed. This thesis presents application possibilities of the alignment degrees method to the electrical load modeling. Clustering of load profiles in different part of system was used to classify the substations. Simulation studies have been performed to demonstrate the efficiency of the proposed scheme and an effect of different parameters on its accuracy on the basis of actual data obtained at distribution system substations. 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor. (2007) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description In distribution system, bus load estimation is complicated because system load is unstable data and usually monitored at only a few points. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed sporadically. In general, the only information commonly available regarding loads, other than major distribution substations and equipment installations, is billing cycle customer kWh consumption or load in per unit (p.u) term. In order to model system uncertainty, inexactness, and random nature of customers demand, an average alignment approach is proposed. This thesis presents application possibilities of the alignment degrees method to the electrical load modeling. Clustering of load profiles in different part of system was used to classify the substations. Simulation studies have been performed to demonstrate the efficiency of the proposed scheme and an effect of different parameters on its accuracy on the basis of actual data obtained at distribution system substations.
format Thesis
author Md Nor, Mohamad Naim
spellingShingle Md Nor, Mohamad Naim
Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
author_facet Md Nor, Mohamad Naim
author_sort Md Nor, Mohamad Naim
title Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
title_short Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
title_full Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
title_fullStr Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
title_full_unstemmed Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor
title_sort application of alignment degrees to electric load clustering / mohamad naim md nor
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf
https://ir.uitm.edu.my/id/eprint/84496/
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score 13.214268