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Antlion optimization algorithm for optimal non-smooth economic load dispatch

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246986" target="_blank" >RIV/61989100:27240/20:10246986 - isvavai.cz</a>

  • Result on the web

    <a href="http://ijece.iaescore.com/index.php/IJECE/article/view/20271" target="_blank" >http://ijece.iaescore.com/index.php/IJECE/article/view/20271</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11591/ijece.v10i2.pp1187-1199" target="_blank" >10.11591/ijece.v10i2.pp1187-1199</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Antlion optimization algorithm for optimal non-smooth economic load dispatch

  • Original language description

    This paper presents applications of Antlion optimization algorithm (ALO) for handling optimal economic load dispatch (OELD) problems. Electricity generation cost minimization by controlling power output of all available generating units is a major goal of the problem. ALO is a metaheuristic algorithm based on the hunting process of Antlions. The effect of ALO is investigated by solving a 10-unit system. Each studied case has different objective function and complex level of restraints. Three test cases are employed and arranged according to the complex level in which the first one only considers multi fuel sources while the second case is more complicated by taking valve point loading effects into account. And, the third case is the highest challenge to ALO since the valve effects together with ramp rate limits, prohibited operating zones and spinning reserve constraints are taken into consideration. The comparisons of the result obtained by ALO and other ones indicate the ALO algorithm is more potential than most methods on the solution, the stabilization, and the convergence velocity. Therefore, the ALO method is an effective and promising tool for systems with multi fuel sources and considering complicated constraints. Copyright (C) 2020 Insitute of Advanced Engineeering and Science. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Electrical and Computer Engineering

  • ISSN

    2088-8708

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    ID - INDONESIA

  • Number of pages

    13

  • Pages from-to

    1187-1199

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85075372039