Cover Image

Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique

Network splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (tra...

Full description

Saved in:
Bibliographic Details
Main Authors: Saharuddin, Nur Zawani, Abidin, Izham Zainal, Mokhlis, Hazlie
Format: Article
Published: Institute of Advanced Engineering and Science 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/20820/
https://doi.org/10.11591/ijeecs.v12.i1.pp261-268
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.20820
record_format eprints
spelling my.um.eprints.208202019-04-08T03:33:10Z http://eprints.um.edu.my/20820/ Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique Saharuddin, Nur Zawani Abidin, Izham Zainal Mokhlis, Hazlie TK Electrical engineering. Electronics Nuclear engineering Network splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (transmission lines to be removed) to ensure that the implementation of network splitting does not cause the system to worsen. Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. Initial cutsets based heuristic technique is employed to help the convergence of the DEP optimization with minimal power flow disruptions as its fitness function. The techniques are validated using the IEEE 30 and IEEE 118-bus system. The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique. Institute of Advanced Engineering and Science 2018 Article PeerReviewed Saharuddin, Nur Zawani and Abidin, Izham Zainal and Mokhlis, Hazlie (2018) Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique. Indonesian Journal of Electrical Engineering and Computer Science, 12 (1). pp. 261-268. ISSN 2502-4752 https://doi.org/10.11591/ijeecs.v12.i1.pp261-268 doi:10.11591/ijeecs.v12.i1.pp261-268
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saharuddin, Nur Zawani
Abidin, Izham Zainal
Mokhlis, Hazlie
Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
description Network splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (transmission lines to be removed) to ensure that the implementation of network splitting does not cause the system to worsen. Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. Initial cutsets based heuristic technique is employed to help the convergence of the DEP optimization with minimal power flow disruptions as its fitness function. The techniques are validated using the IEEE 30 and IEEE 118-bus system. The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique.
format Article
author Saharuddin, Nur Zawani
Abidin, Izham Zainal
Mokhlis, Hazlie
author_facet Saharuddin, Nur Zawani
Abidin, Izham Zainal
Mokhlis, Hazlie
author_sort Saharuddin, Nur Zawani
title Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
title_short Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
title_full Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
title_fullStr Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
title_full_unstemmed Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
title_sort discrete evolutionary programming for network splitting strategy: different mutation technique
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.um.edu.my/20820/
https://doi.org/10.11591/ijeecs.v12.i1.pp261-268
_version_ 1643691389330915328
score 13.211869

Similar Items