Development of electric load factor optimization technique with multi criteria decision making

Electric energy has an important role in daily human life. This energy, is the infrastructure for the electric energy industry. It is conveyed by three stages, namely generation, transmission and distribution systems for use by consumers. Consumers do not have a constant energy consumption over a da...

Full description

Saved in:

Bibliographic Details
Main Author:	Khoshsolat, Seyed Amir Hossein
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electric utilities - Energy consumption Power resources
Online Access:	http://psasir.upm.edu.my/id/eprint/48184/1/FK%202014%2054R.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-upm-ir.48184
record_format	uketd_dc
spelling	my-upm-ir.481842017-02-22T02:59:19Z Development of electric load factor optimization technique with multi criteria decision making 2014-01 Khoshsolat, Seyed Amir Hossein Electric energy has an important role in daily human life. This energy, is the infrastructure for the electric energy industry. It is conveyed by three stages, namely generation, transmission and distribution systems for use by consumers. Consumers do not have a constant energy consumption over a daily hour and yearly days. The average and peak load of electric energy will be different. Load factor is defined as an average load divided by peak load. This study is concerned to modify this factor so that it could come close to unity (1) and the closer the better. Therefore the capacity and investment in electric infrastructures must be evaluated in coordination with peak load. In order to optimize the load factor different potential alternatives usage on the demand side like renewable energy, combined cooling, heat and power (CCHP) systems, fuel cell, tariff management and other will be analyzed. However, some criteria for each alternative must be considered under the process of substitution. In order to select the suitable alternatives, this research used Fuzzy Multi Criteria Decision Making technique to develop the load factor optimization method. This method was used to evaluate data for local area of Tenaga National Berhad in Malaysia and West Mazandaran Regional Electric Company in Iran. Among the Multi Criteria Decision Making (MCDM) techniques, Topsis method was selected to develop the coding using MATLAB software. Furthermore, sensitivity analysis was used to analyze and verify the out put data and the logic of the optimization methodology through graphic user interface (GUI). The results of three specific case study show that the 10%, 15% and 20% aimed in the improvement of load factor gives us a sort of priorities from the best to the worst one. Depending on the condition of alternatives and those criteria, the output could be different. This shows the flexibility and compatibility of the optimization method which have been developed in this study. Other studies and demand side management (DSM) methods just were able to consider limited alternatives or criteria in load mitigation. However,the proposed method is able to make solution for any dimensions of decision making matrix in load factor optimization (LFO) course. It can be concluded that this method, by the first time, made a direct bridge between electric LFO and decision making in demand side management. Electric utilities - Energy consumption Power resources 2014-01 Thesis http://psasir.upm.edu.my/id/eprint/48184/ http://psasir.upm.edu.my/id/eprint/48184/1/FK%202014%2054R.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Electric utilities - Energy consumption Power resources
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Electric utilities - Energy consumption Power resources
spellingShingle	Electric utilities - Energy consumption Power resources Khoshsolat, Seyed Amir Hossein Development of electric load factor optimization technique with multi criteria decision making
description	Electric energy has an important role in daily human life. This energy, is the infrastructure for the electric energy industry. It is conveyed by three stages, namely generation, transmission and distribution systems for use by consumers. Consumers do not have a constant energy consumption over a daily hour and yearly days. The average and peak load of electric energy will be different. Load factor is defined as an average load divided by peak load. This study is concerned to modify this factor so that it could come close to unity (1) and the closer the better. Therefore the capacity and investment in electric infrastructures must be evaluated in coordination with peak load. In order to optimize the load factor different potential alternatives usage on the demand side like renewable energy, combined cooling, heat and power (CCHP) systems, fuel cell, tariff management and other will be analyzed. However, some criteria for each alternative must be considered under the process of substitution. In order to select the suitable alternatives, this research used Fuzzy Multi Criteria Decision Making technique to develop the load factor optimization method. This method was used to evaluate data for local area of Tenaga National Berhad in Malaysia and West Mazandaran Regional Electric Company in Iran. Among the Multi Criteria Decision Making (MCDM) techniques, Topsis method was selected to develop the coding using MATLAB software. Furthermore, sensitivity analysis was used to analyze and verify the out put data and the logic of the optimization methodology through graphic user interface (GUI). The results of three specific case study show that the 10%, 15% and 20% aimed in the improvement of load factor gives us a sort of priorities from the best to the worst one. Depending on the condition of alternatives and those criteria, the output could be different. This shows the flexibility and compatibility of the optimization method which have been developed in this study. Other studies and demand side management (DSM) methods just were able to consider limited alternatives or criteria in load mitigation. However,the proposed method is able to make solution for any dimensions of decision making matrix in load factor optimization (LFO) course. It can be concluded that this method, by the first time, made a direct bridge between electric LFO and decision making in demand side management.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Khoshsolat, Seyed Amir Hossein
author_facet	Khoshsolat, Seyed Amir Hossein
author_sort	Khoshsolat, Seyed Amir Hossein
title	Development of electric load factor optimization technique with multi criteria decision making
title_short	Development of electric load factor optimization technique with multi criteria decision making
title_full	Development of electric load factor optimization technique with multi criteria decision making
title_fullStr	Development of electric load factor optimization technique with multi criteria decision making
title_full_unstemmed	Development of electric load factor optimization technique with multi criteria decision making
title_sort	development of electric load factor optimization technique with multi criteria decision making
granting_institution	Universiti Putra Malaysia
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/48184/1/FK%202014%2054R.pdf
_version_	1747811964965355520

Development of electric load factor optimization technique with multi criteria decision making

Similar Items