Optimal power flow using differential evolution algorithm

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

doi:10.1007/s00202-009-0116-z

Optimal power flow using differential evolution algorithm

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

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

62 Scopus citations

Abstract

This paper presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution algorithm for optimal settings of OPF problem control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results are compared with the results reported in the literature. The results show the effectiveness and robustness of the proposed approach.

Original language	English
Pages (from-to)	69-78
Number of pages	10
Journal	Electrical Engineering
Volume	91
Issue number	2
DOIs	https://doi.org/10.1007/s00202-009-0116-z
State	Published - Aug 2009

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

Electrical and Electronic Engineering
Applied Mathematics

UN SDGs

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

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10.1007/s00202-009-0116-z

Cite this

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

abstract = "This paper presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution algorithm for optimal settings of OPF problem control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results are compared with the results reported in the literature. The results show the effectiveness and robustness of the proposed approach.",

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 = "2009",

month = aug,

doi = "10.1007/s00202-009-0116-z",

language = "English",

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journal = "Electrical Engineering",

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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 - 2009/8

Y1 - 2009/8

N2 - This paper presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution algorithm for optimal settings of OPF problem control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results are compared with the results reported in the literature. The results show the effectiveness and robustness of the proposed approach.

AB - This paper presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution algorithm for optimal settings of OPF problem control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results are compared with the results reported in the literature. The results show the effectiveness and robustness of the proposed approach.

KW - Differential evolution algorithm

KW - Fuel cost minimization

KW - Optimal power flow

KW - Voltage profile improvement

KW - Voltage stability enhancement

UR - https://www.scopus.com/pages/publications/68849116258

U2 - 10.1007/s00202-009-0116-z

DO - 10.1007/s00202-009-0116-z

M3 - Article

AN - SCOPUS:68849116258

SN - 0948-7921

VL - 91

SP - 69

EP - 78

JO - Electrical Engineering

JF - Electrical Engineering

IS - 2

ER -

Optimal power flow using differential evolution algorithm

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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