An Application of Cuckoo Search Algorithm for Solving Combined Economic and Emission Dispatch Problem
This paper presents the application of Cuckoo Search Algorithm (CSA) in solving the combined economic and emission (CEED) dispatch problem. As been known, CEED can be formulated as a multi-objective optimization problem which is involving two objectives that conflicting each other. The objective...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/10905/ http://umpir.ump.edu.my/id/eprint/10905/ http://umpir.ump.edu.my/id/eprint/10905/1/An%20Application%20of%20Cuckoo%20Search%20Algorithm%20for%20Solving%20Combined%20Economic%20and%20Emission%20Dispatch%20Problem.pdf http://umpir.ump.edu.my/id/eprint/10905/7/fkee-2015-herwan-Application%20of%20Cuckoo%20Search.pdf |
| Summary: | This paper presents the application of Cuckoo
Search Algorithm (CSA) in solving the combined economic and
emission (CEED) dispatch problem. As been known, CEED can
be formulated as a multi-objective optimization problem which is
involving two objectives that conflicting each other. The objective
is to find the tradeoff between minimizing the costs of fuel as well
as minimizing the emission levels simultaneously while satisfying
all the constraints. In this paper, this bi-objective function is
transformed into a single objective function by introducing the
price penalty and weighting factors. In order to show the
effectiveness of CSA in solving CEED, two test systems are used:
6-units and 40-units generator systems. The comparison with
other recent techniques is also given in this paper. |
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