A review of the use of genetic algorithms in economic load dispatch

W. Warsono; Cuneyt Suheyl Ozveren; David J. King; David A. Bradley

doi:10.1109/UPEC.2008.4651530

A review of the use of genetic algorithms in economic load dispatch

W. Warsono, Cuneyt Suheyl Ozveren, David J. King, David A. Bradley

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents a review of many previous papers on the use of genetic algorithms (GA) for solving the problem of economic load dispatch (ELD) for power systems. The paper will cover several topics, i.e. a brief description of the GA method, the various power system models and topologies solved by the GA method, various GA techniques used for ELD, and hybrids of GA with other techniques for solving ELD.

Original language	English
Title of host publication	Proceedings of the 43rd International Universities Power Engineering Conference
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Print)	9781424432943, 9788889884096
DOIs	https://doi.org/10.1109/UPEC.2008.4651530
Publication status	Published - 2008
Event	43rd International Universities Power Engineering Conference - Padova, Italy Duration: 1 Sep 2008 → 4 Sep 2008 Conference number: 43

Conference

Conference	43rd International Universities Power Engineering Conference
Abbreviated title	UPEC 2008
Country	Italy
City	Padova
Period	1/09/08 → 4/09/08

Access to Document

10.1109/UPEC.2008.4651530

Fingerprint Dive into the research topics of 'A review of the use of genetic algorithms in economic load dispatch'. Together they form a unique fingerprint.

Cite this

@inproceedings{2fb3ea2e3c594e80bf866e299a3df701,

title = "A review of the use of genetic algorithms in economic load dispatch",

abstract = "This paper presents a review of many previous papers on the use of genetic algorithms (GA) for solving the problem of economic load dispatch (ELD) for power systems. The paper will cover several topics, i.e. a brief description of the GA method, the various power system models and topologies solved by the GA method, various GA techniques used for ELD, and hybrids of GA with other techniques for solving ELD.",

author = "W. Warsono and Ozveren, {Cuneyt Suheyl} and King, {David J.} and Bradley, {David A.}",

year = "2008",

doi = "10.1109/UPEC.2008.4651530",

language = "English",

isbn = "9781424432943",

booktitle = "Proceedings of the 43rd International Universities Power Engineering Conference",

publisher = "IEEE ",

note = "43rd International Universities Power Engineering Conference, UPEC 2008 ; Conference date: 01-09-2008 Through 04-09-2008",

}

TY - GEN

T1 - A review of the use of genetic algorithms in economic load dispatch

AU - Warsono, W.

AU - Ozveren, Cuneyt Suheyl

AU - King, David J.

AU - Bradley, David A.

N1 - Conference code: 43

PY - 2008

Y1 - 2008

N2 - This paper presents a review of many previous papers on the use of genetic algorithms (GA) for solving the problem of economic load dispatch (ELD) for power systems. The paper will cover several topics, i.e. a brief description of the GA method, the various power system models and topologies solved by the GA method, various GA techniques used for ELD, and hybrids of GA with other techniques for solving ELD.

AB - This paper presents a review of many previous papers on the use of genetic algorithms (GA) for solving the problem of economic load dispatch (ELD) for power systems. The paper will cover several topics, i.e. a brief description of the GA method, the various power system models and topologies solved by the GA method, various GA techniques used for ELD, and hybrids of GA with other techniques for solving ELD.

U2 - 10.1109/UPEC.2008.4651530

DO - 10.1109/UPEC.2008.4651530

M3 - Conference contribution

SN - 9781424432943

SN - 9788889884096

BT - Proceedings of the 43rd International Universities Power Engineering Conference

PB - IEEE

CY - Piscataway, NJ

T2 - 43rd International Universities Power Engineering Conference

Y2 - 1 September 2008 through 4 September 2008

ER -