Economic load dispatch optimization of renewable energy in power system using genetic algorithm

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

doi:10.1109/PCT.2007.4538655

Economic load dispatch optimization of renewable energy in power system using genetic algorithm

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

Division of Games and Arts

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

38 Citations (Scopus)

Abstract

The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.

Original language	English
Title of host publication	2007 IEEE Lausanne PowerTech
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	2174-2179
Number of pages	6
ISBN (Electronic)	9781424421909
ISBN (Print)	9781424421893
DOIs	https://doi.org/10.1109/PCT.2007.4538655
Publication status	Published - 2007
Event	Power Tech 2007 - Lausanne, Switzerland Duration: 1 Jul 2007 → 5 Jul 2007 http://ewh.ieee.org/conf/powertech/index.html

Conference

Conference	Power Tech 2007
Country/Territory	Switzerland
City	Lausanne
Period	1/07/07 → 5/07/07
Internet address	http://ewh.ieee.org/conf/powertech/index.html

Keywords

Economic load dispatch (ELD)
Genetic algorithm (GA)
Renewable energy
Wind power generation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PCT.2007.4538655

Cite this

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title = "Economic load dispatch optimization of renewable energy in power system using genetic algorithm",

abstract = "The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.",

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

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language = "English",

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AU - Warsono,

AU - King, David J.

AU - Ozveren, Cuneyt Suheyl

AU - Bradley, David A.

PY - 2007

Y1 - 2007

N2 - The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.

AB - The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.

U2 - 10.1109/PCT.2007.4538655

DO - 10.1109/PCT.2007.4538655

M3 - Conference contribution

SN - 9781424421893

SP - 2174

EP - 2179

BT - 2007 IEEE Lausanne PowerTech

PB - IEEE

CY - Piscataway, NJ

T2 - Power Tech 2007

Y2 - 1 July 2007 through 5 July 2007

ER -

Economic load dispatch optimization of renewable energy in power system using genetic algorithm

Abstract

Conference

Keywords

UN SDGs

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Cite this