Power consumption pattern modeling for effective distribution network planning

The demand for electricity is increasing due to population growth. The power consumption pattern become critical issues to be investigated so that the network can be planned, designed and operated efficiently to meet the increasing yearly demand. In this study, multistage cluster sampling is used...

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Main Author: Chai, Choung Jung
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2009
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Online Access:http://ir.unimas.my/id/eprint/13682/1/Chai%20Choung%20Jung%20ft.pdf
http://ir.unimas.my/id/eprint/13682/
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Institution: Universiti Malaysia Sarawak
Language: English
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spelling my.unimas.ir.136822023-05-10T01:46:42Z http://ir.unimas.my/id/eprint/13682/ Power consumption pattern modeling for effective distribution network planning Chai, Choung Jung TK Electrical engineering. Electronics Nuclear engineering The demand for electricity is increasing due to population growth. The power consumption pattern become critical issues to be investigated so that the network can be planned, designed and operated efficiently to meet the increasing yearly demand. In this study, multistage cluster sampling is used to calculate the sample size. Power consumption data for every 15 minutes time interval was recorded by using EDMI Mk.6 Genius polyphase electronic (E3) meter. Once power consumption data is collected, power consumption pattern, load factor, diversity factor, after diversity maximum demand, distribution transfonner size and l1kV cable size can be detennined. Analysis on temperature sensitivity related to the demand and method to improve overall load factor will be carried out. The result shows that power consumption pattern is influenced by consumer behaviour, time and weather. For the consumer behaviour factor, differences in numbers, sizes and types of electrical appliance will greatly influence the demand and maximum demand of the power consumption pattern. For time factor, demand for domestic 'consumer is high during nighttime as compared to daytime. Weather is also a factor which can affect the demand. In this study, analysis on temperature sensitivity related to the demand shows that when the temperature increases, the demand will also increase. The result shows that commercial unit floor has the highest value of after diversity maximum demand followed by detached house, semi-detached house, terrace house and residential unit floor. Based on the value of after diversity maximum demand and the unit of different types of consumers needed, more accurate total electrical load, distribution transformer size and 11 kV cable size can be determined. The power consumption pattern model had been created by using graphical user interface. By entering the unit of different types of consumers needed, this model is able to determine accurately total electrical load, distribution transformer size and the 11 kV cable size needed. Universiti Malaysia Sarawak, (UNIMAS) 2009 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/13682/1/Chai%20Choung%20Jung%20ft.pdf Chai, Choung Jung (2009) Power consumption pattern modeling for effective distribution network planning. Masters thesis, Universiti Malaysia Sarawak, (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chai, Choung Jung
Power consumption pattern modeling for effective distribution network planning
description The demand for electricity is increasing due to population growth. The power consumption pattern become critical issues to be investigated so that the network can be planned, designed and operated efficiently to meet the increasing yearly demand. In this study, multistage cluster sampling is used to calculate the sample size. Power consumption data for every 15 minutes time interval was recorded by using EDMI Mk.6 Genius polyphase electronic (E3) meter. Once power consumption data is collected, power consumption pattern, load factor, diversity factor, after diversity maximum demand, distribution transfonner size and l1kV cable size can be detennined. Analysis on temperature sensitivity related to the demand and method to improve overall load factor will be carried out. The result shows that power consumption pattern is influenced by consumer behaviour, time and weather. For the consumer behaviour factor, differences in numbers, sizes and types of electrical appliance will greatly influence the demand and maximum demand of the power consumption pattern. For time factor, demand for domestic 'consumer is high during nighttime as compared to daytime. Weather is also a factor which can affect the demand. In this study, analysis on temperature sensitivity related to the demand shows that when the temperature increases, the demand will also increase. The result shows that commercial unit floor has the highest value of after diversity maximum demand followed by detached house, semi-detached house, terrace house and residential unit floor. Based on the value of after diversity maximum demand and the unit of different types of consumers needed, more accurate total electrical load, distribution transformer size and 11 kV cable size can be determined. The power consumption pattern model had been created by using graphical user interface. By entering the unit of different types of consumers needed, this model is able to determine accurately total electrical load, distribution transformer size and the 11 kV cable size needed.
format Thesis
author Chai, Choung Jung
author_facet Chai, Choung Jung
author_sort Chai, Choung Jung
title Power consumption pattern modeling for effective distribution network planning
title_short Power consumption pattern modeling for effective distribution network planning
title_full Power consumption pattern modeling for effective distribution network planning
title_fullStr Power consumption pattern modeling for effective distribution network planning
title_full_unstemmed Power consumption pattern modeling for effective distribution network planning
title_sort power consumption pattern modeling for effective distribution network planning
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2009
url http://ir.unimas.my/id/eprint/13682/1/Chai%20Choung%20Jung%20ft.pdf
http://ir.unimas.my/id/eprint/13682/
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