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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2007
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| Online Access: | https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf |
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my-uitm-ir.844962024-02-23T03:27:55Z Application of alignment degrees to electric load clustering / Mohamad Naim Md Nor 2007 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 https://ir.uitm.edu.my/id/eprint/84496/ https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Zakaria, Zuahaina |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Zakaria, Zuahaina |
| 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 |
| qualification_level |
Bachelor degree |
| 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 |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2007 |
| url |
https://ir.uitm.edu.my/id/eprint/84496/1/84496.pdf |
| _version_ |
1794192008741388288 |