Please use this identifier to cite or link to this item:
Title: Hybridization of ALO and GOA for Combined Economic Emission Dispatch
Authors: Sita, Hareesh
Reddy, P Umapathi
Kiranmayi, R
Chaithanya, S
Keywords: CEED;EED;Hybrid algorithm;IALGOA
Issue Date: Oct-2020
Publisher: NISCAIR-CSIR, India
Abstract: A hybrid algorithm is presented for CEED problem with generation, emission and combustion of fuel & emission cost as an objective. The proposed algorithm is combined with both ant lion optimizer and grass hopper optimizations called as integrated ant lion grasshopper optimization algorithm (IALGOA). To find an optimal solution for a CEED, the IALGOA is proposed in this paper. The IALGOA performance is compared and analyzed with conventional hybrid algorithms like PSO, GSA and Adaptive Wind Driven Optimization (AWDO) under standard IEEE 30-bus test system. The presented numerical results explain IALGOA algorithm’s excellent convergence characteristics.
Page(s): 894-897
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(10) [October 2020]

Files in This Item:
File Description SizeFormat 
JSIR 79(10) 894-897.pdf458.07 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.