Optimal power flow using differential evolution algorithm

A. A. Abou El Ela; M. A. Abido; S. R. Spea

doi:10.1016/j.epsr.2009.12.018

Optimal power flow using differential evolution algorithm

A. A. Abou El Ela, M. A. Abido, S. R. Spea^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

411 Scopus citations

Abstract

This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of OPF control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objective functions that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. In addition, non-smooth piecewise quadratic cost function has been considered. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the OPF problem for the systems considered.

Original language	English
Pages (from-to)	878-885
Number of pages	8
Journal	Electric Power Systems Research
Volume	80
Issue number	7
DOIs	https://doi.org/10.1016/j.epsr.2009.12.018
State	Published - Jul 2010

Bibliographical note

Funding Information:
Dr. Abido would like to acknowledge the support of King Fahd University of Petroleum & Minerals.

Keywords

Differential evolution algorithm
Fuel cost minimization
Optimal power flow
Voltage profile improvement
Voltage stability enhancement

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

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

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10.1016/j.epsr.2009.12.018

Cite this

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title = "Optimal power flow using differential evolution algorithm",

abstract = "This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of OPF control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objective functions that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. In addition, non-smooth piecewise quadratic cost function has been considered. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the OPF problem for the systems considered.",

keywords = "Differential evolution algorithm, Fuel cost minimization, Optimal power flow, Voltage profile improvement, Voltage stability enhancement",

author = "{Abou El Ela}, {A. A.} and Abido, {M. A.} and Spea, {S. R.}",

note = "Funding Information: Dr. Abido would like to acknowledge the support of King Fahd University of Petroleum & Minerals. ",

year = "2010",

month = jul,

doi = "10.1016/j.epsr.2009.12.018",

language = "English",

volume = "80",

pages = "878--885",

journal = "Electric Power Systems Research",

issn = "0378-7796",

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TY - JOUR

T1 - Optimal power flow using differential evolution algorithm

AU - Abou El Ela, A. A.

AU - Abido, M. A.

AU - Spea, S. R.

N1 - Funding Information: Dr. Abido would like to acknowledge the support of King Fahd University of Petroleum & Minerals.

PY - 2010/7

Y1 - 2010/7

N2 - This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of OPF control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objective functions that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. In addition, non-smooth piecewise quadratic cost function has been considered. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the OPF problem for the systems considered.

AB - This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of OPF control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objective functions that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. In addition, non-smooth piecewise quadratic cost function has been considered. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the OPF problem for the systems considered.

KW - Differential evolution algorithm

KW - Fuel cost minimization

KW - Optimal power flow

KW - Voltage profile improvement

KW - Voltage stability enhancement

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U2 - 10.1016/j.epsr.2009.12.018

DO - 10.1016/j.epsr.2009.12.018

M3 - Article

AN - SCOPUS:77950858346

SN - 0378-7796

VL - 80

SP - 878

EP - 885

JO - Electric Power Systems Research

JF - Electric Power Systems Research

IS - 7

ER -

Optimal power flow using differential evolution algorithm

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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