Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin

Economic growth requires high-energy consumption, which leads to supply shortage problem. The world population growth contributes in significant increase in the energy consumption every day. However, there are a lot of mitigation techniques can be applied in order to manage the energy supply and ens...

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Main Author:	Zainudin, Muhammad Ezzad Zaqwan
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/84723/1/84723.pdf
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id	my-uitm-ir.84723
record_format	uketd_dc
spelling	my-uitm-ir.847232024-02-07T02:50:44Z Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin 2014 Zainudin, Muhammad Ezzad Zaqwan Economic growth requires high-energy consumption, which leads to supply shortage problem. The world population growth contributes in significant increase in the energy consumption every day. However, there are a lot of mitigation techniques can be applied in order to manage the energy supply and ensuring each consumers consume enough energy to satisfy their load demand. Customer's load profile or daily load curve for each customer is different from one another. Thus, pre-feasibility study on each load profile is a must to ensure an efficient load optimization process. This thesis presents optimal load clipping and shifting using Evolutionary Programming (EP) technique. The problem formulation is based on the basic load clipping and load shifting knowledge. This process is conducted using the data provide by Malaysian Energy Commission (EC). The study considers several load categories namely the industrial, commercial and domestic loads. Results obtained from the study are beneficial for the basic understanding of load clipping and load shifting knowledge for the society. Evolutionary Programming technique is used to solve the optimization model of load shaving. MATLAB software is needed to put into practice the actual operation of the optimization process to provide the recommended decision, thus, avoiding system peak hour shortage problem in the future. 2014 Thesis https://ir.uitm.edu.my/id/eprint/84723/ https://ir.uitm.edu.my/id/eprint/84723/1/84723.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Musirin, Ismail
description	Economic growth requires high-energy consumption, which leads to supply shortage problem. The world population growth contributes in significant increase in the energy consumption every day. However, there are a lot of mitigation techniques can be applied in order to manage the energy supply and ensuring each consumers consume enough energy to satisfy their load demand. Customer's load profile or daily load curve for each customer is different from one another. Thus, pre-feasibility study on each load profile is a must to ensure an efficient load optimization process. This thesis presents optimal load clipping and shifting using Evolutionary Programming (EP) technique. The problem formulation is based on the basic load clipping and load shifting knowledge. This process is conducted using the data provide by Malaysian Energy Commission (EC). The study considers several load categories namely the industrial, commercial and domestic loads. Results obtained from the study are beneficial for the basic understanding of load clipping and load shifting knowledge for the society. Evolutionary Programming technique is used to solve the optimization model of load shaving. MATLAB software is needed to put into practice the actual operation of the optimization process to provide the recommended decision, thus, avoiding system peak hour shortage problem in the future.
format	Thesis
qualification_level	Bachelor degree
author	Zainudin, Muhammad Ezzad Zaqwan
spellingShingle	Zainudin, Muhammad Ezzad Zaqwan Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
author_facet	Zainudin, Muhammad Ezzad Zaqwan
author_sort	Zainudin, Muhammad Ezzad Zaqwan
title	Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
title_short	Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
title_full	Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
title_fullStr	Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
title_full_unstemmed	Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin
title_sort	customer profiling-based optimal load shaving solution using evolutionary programming technique / muhammad ezzad zaqwan zainudin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/84723/1/84723.pdf
_version_	1794192042144825344

Customer profiling-based optimal load shaving solution using evolutionary programming technique / Muhammad Ezzad Zaqwan Zainudin

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