Antlion optimization algorithm for optimal non-smooth economic load dispatch

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Antlion optimization algorithm for optimal non-smooth economic load dispatch

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Antlion optimization algorithm for optimal non-smooth economic load dispatch

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

International Journal of Electrical and Computer Engineering

ISSN

2088-8708

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

ID - Indonéská republika

Počet stran výsledku

13

Strana od-do

1187-1199

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85075372039