Risk assessment in power system using multi-criteria decision making (MCDM) methods

In recent years, immense power system outage events have happened across the world. This is not exceptional to the Malaysia power system whereby on 27 Jun 2013 the system blackout occurred in the state of Sarawak, due to sudden dropping of frequency. Hence, power system risk assessment has become an...

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Main Author:	Siagian, Caroline Dame
Format:	Thesis
Language:	English English English
Published:	2013
Subjects:	TK1001-1841 Production of electric energy or power Powerplants Central stations
Online Access:	http://eprints.uthm.edu.my/6840/1/24p%20CAROLINE%20DAME%20SIAGIAN.pdf http://eprints.uthm.edu.my/6840/2/CAROLINE%20DAME%20SIAGIAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6840/3/CAROLINE%20DAME%20SIAGIAN%20WATERMARK.pdf
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id	my-uthm-ep.6840
record_format	uketd_dc
spelling	my-uthm-ep.68402022-03-28T01:30:51Z Risk assessment in power system using multi-criteria decision making (MCDM) methods 2013-02 Siagian, Caroline Dame TK1001-1841 Production of electric energy or power. Powerplants. Central stations In recent years, immense power system outage events have happened across the world. This is not exceptional to the Malaysia power system whereby on 27 Jun 2013 the system blackout occurred in the state of Sarawak, due to sudden dropping of frequency. Hence, power system risk assessment has become an important and mandatory task in planning, operation, maintenance and asset management of utilities. There have been efforts devoted in searching for new methods and procedures that effectively evaluate the risk of a power system. The objective of this study is to rank and determine the most common cause of power loss outages in the grid. This study implements multi criteria decision-making methods such as Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). For data collection, it employed interviews of key participants, review of documents including unpublished official reports and annual reports. From the data collected there are four criteria identified, namely Duration Time (min), Estimated Maximum Loss of load (MW), Estimated Energy No Supplied (MW-min) and System Minutes. On the other hand, seven causes of power loss outages are identified, they are Treat To System Security, Equipment Failure, Fire or Explosion, Switching Risk, Tower Collapse, Accelerated Ageing of Equipment and Supervisory Control System Failure. Results of data analysis show that both methods have identified that Equipment Failure is the major cause, followed by Supervisory Control System Failure. 2013-02 Thesis http://eprints.uthm.edu.my/6840/ http://eprints.uthm.edu.my/6840/1/24p%20CAROLINE%20DAME%20SIAGIAN.pdf text en public http://eprints.uthm.edu.my/6840/2/CAROLINE%20DAME%20SIAGIAN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/6840/3/CAROLINE%20DAME%20SIAGIAN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK1001-1841 Production of electric energy or power Powerplants Central stations
spellingShingle	TK1001-1841 Production of electric energy or power Powerplants Central stations Siagian, Caroline Dame Risk assessment in power system using multi-criteria decision making (MCDM) methods
description	In recent years, immense power system outage events have happened across the world. This is not exceptional to the Malaysia power system whereby on 27 Jun 2013 the system blackout occurred in the state of Sarawak, due to sudden dropping of frequency. Hence, power system risk assessment has become an important and mandatory task in planning, operation, maintenance and asset management of utilities. There have been efforts devoted in searching for new methods and procedures that effectively evaluate the risk of a power system. The objective of this study is to rank and determine the most common cause of power loss outages in the grid. This study implements multi criteria decision-making methods such as Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). For data collection, it employed interviews of key participants, review of documents including unpublished official reports and annual reports. From the data collected there are four criteria identified, namely Duration Time (min), Estimated Maximum Loss of load (MW), Estimated Energy No Supplied (MW-min) and System Minutes. On the other hand, seven causes of power loss outages are identified, they are Treat To System Security, Equipment Failure, Fire or Explosion, Switching Risk, Tower Collapse, Accelerated Ageing of Equipment and Supervisory Control System Failure. Results of data analysis show that both methods have identified that Equipment Failure is the major cause, followed by Supervisory Control System Failure.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Siagian, Caroline Dame
author_facet	Siagian, Caroline Dame
author_sort	Siagian, Caroline Dame
title	Risk assessment in power system using multi-criteria decision making (MCDM) methods
title_short	Risk assessment in power system using multi-criteria decision making (MCDM) methods
title_full	Risk assessment in power system using multi-criteria decision making (MCDM) methods
title_fullStr	Risk assessment in power system using multi-criteria decision making (MCDM) methods
title_full_unstemmed	Risk assessment in power system using multi-criteria decision making (MCDM) methods
title_sort	risk assessment in power system using multi-criteria decision making (mcdm) methods
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2013
url	http://eprints.uthm.edu.my/6840/1/24p%20CAROLINE%20DAME%20SIAGIAN.pdf http://eprints.uthm.edu.my/6840/2/CAROLINE%20DAME%20SIAGIAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6840/3/CAROLINE%20DAME%20SIAGIAN%20WATERMARK.pdf
_version_	1747831093110767616

Risk assessment in power system using multi-criteria decision making (MCDM) methods

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