Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm

This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which is inspired by parasitic behaviour of Cuckoo birds in reproduction strategy to obtain loss minimisation by solving the Optimal Reactive Power Dispatch (ORPD) problem. The proposed CSA is used to find t...

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Main Authors: M. H., Sulaiman, Muhammad Ikram, Mohd Rashid, Omar, Aliman, Mohd Rusllim, Mohamed, Abu Zaharin, Ahmad, Mohd. Shafie, Bakar
Format: Conference or Workshop Item
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8042/
id ump-8042
recordtype eprints
spelling ump-80422018-02-02T02:04:14Z http://umpir.ump.edu.my/id/eprint/8042/ Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm M. H., Sulaiman Muhammad Ikram, Mohd Rashid Omar, Aliman Mohd Rusllim, Mohamed Abu Zaharin, Ahmad Mohd. Shafie, Bakar TK Electrical engineering. Electronics Nuclear engineering This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which is inspired by parasitic behaviour of Cuckoo birds in reproduction strategy to obtain loss minimisation by solving the Optimal Reactive Power Dispatch (ORPD) problem. The proposed CSA is used to find the optimal combination of control variables such as generator voltages, tap changing transformers’ ratios and the value of reactive compensation devices in order to minimize the loss of the transmission system. To demonstrate the effectiveness of CSA, IEEE-57 bus system is used and compared to other techniques available in literature. 2014 Conference or Workshop Item PeerReviewed M. H., Sulaiman and Muhammad Ikram, Mohd Rashid and Omar, Aliman and Mohd Rusllim, Mohamed and Abu Zaharin, Ahmad and Mohd. Shafie, Bakar (2014) Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm. In: 3rd IET International Conference on Clean Energy and Technology 2014, 24-26 November 2014 , Kuching, Sarawak. . (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Omar, Aliman
Mohd Rusllim, Mohamed
Abu Zaharin, Ahmad
Mohd. Shafie, Bakar
Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
description This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which is inspired by parasitic behaviour of Cuckoo birds in reproduction strategy to obtain loss minimisation by solving the Optimal Reactive Power Dispatch (ORPD) problem. The proposed CSA is used to find the optimal combination of control variables such as generator voltages, tap changing transformers’ ratios and the value of reactive compensation devices in order to minimize the loss of the transmission system. To demonstrate the effectiveness of CSA, IEEE-57 bus system is used and compared to other techniques available in literature.
format Conference or Workshop Item
author M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Omar, Aliman
Mohd Rusllim, Mohamed
Abu Zaharin, Ahmad
Mohd. Shafie, Bakar
author_facet M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Omar, Aliman
Mohd Rusllim, Mohamed
Abu Zaharin, Ahmad
Mohd. Shafie, Bakar
author_sort M. H., Sulaiman
title Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
title_short Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
title_full Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
title_fullStr Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
title_full_unstemmed Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm
title_sort loss minimisation by optimal reactive power dispatch using cuckoo search algorithm
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8042/
first_indexed 2023-09-18T22:05:18Z
last_indexed 2023-09-18T22:05:18Z
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