Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints
This paper presents a modified Firefly Algorithm (MFA) for solving economic dispatch (ED) problems. ED is one of the most challenging problems of power system since it is difficult to determine the optimum generation scheduling to meet the particular load demand with the minimum fuel costs while...
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ump-31052015-04-10T01:47:19Z http://umpir.ump.edu.my/id/eprint/3105/ Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints M. H., Sulaiman TK Electrical engineering. Electronics Nuclear engineering This paper presents a modified Firefly Algorithm (MFA) for solving economic dispatch (ED) problems. ED is one of the most challenging problems of power system since it is difficult to determine the optimum generation scheduling to meet the particular load demand with the minimum fuel costs while all constraints are satisfied. In addition the practical ED problems which are involving objective functions with quality and inequality constraints including the practical operation constraints of generators such as ramp rate limit, prohibited operating zones and generation limits make it harder to find the global optimum results of ED. To demonstrate the effectiveness and feasibility of MFA in solving ED, two well-known ED test systems with non-convex solution features have been tested and compared with some of the most recently published ED solution methods in literatures. The results of this research show that MFA is able to find more economical solution than those determined by other methods. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3105/1/1569631537-1.pdf M. H., Sulaiman (2012) Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints. In: IEEE International Conference on Power and Energy (PECON 2012), 2-5 December 2012 , Kota Kinabalu, Sabah Malaysia. . (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering M. H., Sulaiman Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints |
description |
This paper presents a modified Firefly Algorithm
(MFA) for solving economic dispatch (ED) problems. ED is one
of the most challenging problems of power system since it is
difficult to determine the optimum generation scheduling to meet
the particular load demand with the minimum fuel costs while all
constraints are satisfied. In addition the practical ED problems
which are involving objective functions with quality and
inequality constraints including the practical operation
constraints of generators such as ramp rate limit, prohibited
operating zones and generation limits make it harder to find the
global optimum results of ED. To demonstrate the effectiveness
and feasibility of MFA in solving ED, two well-known ED test
systems with non-convex solution features have been tested and
compared with some of the most recently published ED solution
methods in literatures. The results of this research show that
MFA is able to find more economical solution than those
determined by other methods.
|
format |
Conference or Workshop Item |
author |
M. H., Sulaiman |
author_facet |
M. H., Sulaiman |
author_sort |
M. H., Sulaiman |
title |
Modified Firefly Algorithm in Solving Economic
Dispatch Problems with Practical Constraints |
title_short |
Modified Firefly Algorithm in Solving Economic
Dispatch Problems with Practical Constraints |
title_full |
Modified Firefly Algorithm in Solving Economic
Dispatch Problems with Practical Constraints |
title_fullStr |
Modified Firefly Algorithm in Solving Economic
Dispatch Problems with Practical Constraints |
title_full_unstemmed |
Modified Firefly Algorithm in Solving Economic
Dispatch Problems with Practical Constraints |
title_sort |
modified firefly algorithm in solving economic
dispatch problems with practical constraints |
publishDate |
2012 |
url |
http://umpir.ump.edu.my/id/eprint/3105/ http://umpir.ump.edu.my/id/eprint/3105/1/1569631537-1.pdf |
first_indexed |
2023-09-18T21:57:09Z |
last_indexed |
2023-09-18T21:57:09Z |
_version_ |
1777414154844372992 |