Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm

This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Search (CS) algorithm to solve economic dispatch (ED) problems in power system. In order to obtain as close as to practical system, the effect of valve-loading effects together with the other constr...

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Main Authors: M. H., Sulaiman, Mohd Rusllim, Mohamed
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5929/
http://umpir.ump.edu.my/id/eprint/5929/
http://umpir.ump.edu.my/id/eprint/5929/1/fkee-2014-herwan-Solving_economic_dispatch_abs_only.pdf
id ump-5929
recordtype eprints
spelling ump-59292018-04-11T02:34:09Z http://umpir.ump.edu.my/id/eprint/5929/ Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm M. H., Sulaiman Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Search (CS) algorithm to solve economic dispatch (ED) problems in power system. In order to obtain as close as to practical system, the effect of valve-loading effects together with the other constraints such as ramp rate limits, prohibited operating zones as well as generators operating limits have been taken into consideration in solving the most complex optimization problem. To show the effectiveness of proposed CS in solving ED problem, two test systems are utilized: TAIPOWER 40-units and 15-units systems and then the performance of proposed CS will be compared to the other recent techniques. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5929/1/fkee-2014-herwan-Solving_economic_dispatch_abs_only.pdf M. H., Sulaiman and Mohd Rusllim, Mohamed (2014) Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm. In: IEEE 8th International Power Engineering and Optimization Conference (PEOCO 2014), 24-25 March 2014 , Langkawi. pp. 89-93.. http://dx.doi.org/10.1109/PEOCO.2014.6814405
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. H., Sulaiman
Mohd Rusllim, Mohamed
Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
description This paper presents one of the latest nature-inspired meta-heuristics algorithms, namely Cuckoo Search (CS) algorithm to solve economic dispatch (ED) problems in power system. In order to obtain as close as to practical system, the effect of valve-loading effects together with the other constraints such as ramp rate limits, prohibited operating zones as well as generators operating limits have been taken into consideration in solving the most complex optimization problem. To show the effectiveness of proposed CS in solving ED problem, two test systems are utilized: TAIPOWER 40-units and 15-units systems and then the performance of proposed CS will be compared to the other recent techniques.
format Conference or Workshop Item
author M. H., Sulaiman
Mohd Rusllim, Mohamed
author_facet M. H., Sulaiman
Mohd Rusllim, Mohamed
author_sort M. H., Sulaiman
title Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
title_short Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
title_full Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
title_fullStr Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
title_full_unstemmed Solving Economic Dispatch Problems Utilizing Cuckoo Search Algorithm
title_sort solving economic dispatch problems utilizing cuckoo search algorithm
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/5929/
http://umpir.ump.edu.my/id/eprint/5929/
http://umpir.ump.edu.my/id/eprint/5929/1/fkee-2014-herwan-Solving_economic_dispatch_abs_only.pdf
first_indexed 2023-09-18T22:01:22Z
last_indexed 2023-09-18T22:01:22Z
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