Teaching–learning-based optimization algorithm for multi-area economic dispatch

This paper presents teaching–learning-based optimization algorithm for solving MAED (multi-area economic dispatch) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. TLBO (teaching–learning-based optimization) is one...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Energy (Oxford) Jg. 68; S. 21 - 28
1. Verfasser: Basu, M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 15.04.2014
Elsevier
Schlagworte:
Algorithms
Applied sciences
Computer simulation
economic dispatch
Economics
Energy
Evolution
Evolutionary algorithms
Exact sciences and technology
fuels
Multi-area economic dispatch
Optimization
Prohibited operating zones
Teaching–learning-based optimization
Tie line constraints
Transmission loss
Multi-area economic dispatch
Teaching–learning-based optimization
Tie line constraints
Algorithm
Optimization
Teaching
ISSN:0360-5442
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents teaching–learning-based optimization algorithm for solving MAED (multi-area economic dispatch) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. TLBO (teaching–learning-based optimization) is one of the recently proposed population based algorithms which simulates the teaching–learning process of the class room. It is a very simple and robust global optimization technique. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolutionary programming and real coded genetic algorithm, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system. •This paper presents teaching–learning-based optimization algorithm for solving multi-area economic dispatch problem.•Teaching–learning-based optimization (TLBO) is one of the recently proposed population based algorithm.•It simulates the teaching–learning process of the class room. It is a very simple and robust global optimization technique.•The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0360-5442
DOI:10.1016/j.energy.2014.02.064