2019
DOI: 10.11591/ijece.v9i5.pp3384-3390
|View full text |Cite
|
Sign up to set email alerts
|

Economic and emission dispatch using cuckoo search algorithm

Abstract: <p class="Default">The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes the use of Cuckoo Search Algorithm (CSA) for solving the economic and Emission dispatch. The effectiveness of the proposed approach has been tested on 3 generator system. CSA is a new meta-heuristic optimization method inspired from the obligate brood parasitism of some cuckoo species by laying thei… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 14 publications
(17 citation statements)
references
References 17 publications
0
14
0
Order By: Relevance
“…Generation limits constraint: The real output power from each generator must be between its minimum and maximum limits as follows [1]:…”
Section: Constraintsmentioning
confidence: 99%
See 1 more Smart Citation
“…Generation limits constraint: The real output power from each generator must be between its minimum and maximum limits as follows [1]:…”
Section: Constraintsmentioning
confidence: 99%
“…Economic load dispatch (ELD) is an essential optimization task in the power system. It represents a basic problem in the power system operation, which objects to achieve the minimum cost of energy requirements while satisfying all the unit and system constraints [1]. In the simplest formulation of the ELD problem, the fuel cost function of the generation unit is represented by a quadratic function, and the valve point loading effects (VPL) are ignored, which have the advantages of being smooth and convex.…”
Section: Introductionmentioning
confidence: 99%
“…/h r for solution times of 150 seconds, 53.80 seconds, 100 seconds, 150 seconds and 31.67 seconds respectively. Therefore, it is quite conspicuous that MSGBCAEP method outperforms the other heuristic methods involving non smooth cost functions, multi-objectives and valve point loading [25][26][27] in terms of total cost rate and solution time as well.…”
Section: Numeric Examplementioning
confidence: 99%
“…In this paper, the electricity generation integration of WPs and TPs is studied for the core task of electricity cost reduction. The duty of cost reduction and constraint satisfactory is accomplished by using PSO [23][24], cuckoo search algorithm (CSA) [25,26] and one evaluation-based CSA (OEB-CSA). Among the methods, OEB-CSA is first developed in the paper.…”
Section: Introductionmentioning
confidence: 99%