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...
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Autor*in:	Abou El Ela, A. A. [verfasserIn] Abido, M. A. Spea, S. R.

Format:	Artikel
Sprache:	Englisch

Erschienen:	2009

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

Anmerkung:	© Springer-Verlag 2009

Übergeordnetes Werk:	Enthalten in: Electrical engineering - Springer-Verlag, 1994, 91(2009), 2 vom: 16. Juli, Seite 69-78
Übergeordnetes Werk:	volume:91 ; year:2009 ; number:2 ; day:16 ; month:07 ; pages:69-78

Links:	Volltext

DOI / URN:	10.1007/s00202-009-0116-z

Katalog-ID:	OLC2073945457

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650		4	\|a Optimal power flow
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title	Optimal power flow using differential evolution algorithm
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title_full	Optimal power flow using differential evolution algorithm
author_sort	Abou El Ela, A. A.
journal	Electrical engineering
journalStr	Electrical engineering
lang_code	eng
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dewey-hundreds	600 - Technology
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publishDateSort	2009
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container_start_page	69
author_browse	Abou El Ela, A. A. Abido, M. A. Spea, S. R.
container_volume	91
class	621.3 VZ 620 VZ
format_se	Aufsätze
author-letter	Abou El Ela, A. A.
doi_str_mv	10.1007/s00202-009-0116-z
dewey-full	621.3 620
title_sort	optimal power flow using differential evolution algorithm
title_auth	Optimal power flow using differential evolution algorithm
abstract	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. © Springer-Verlag 2009
abstractGer	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. © Springer-Verlag 2009
abstract_unstemmed	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. © Springer-Verlag 2009
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container_issue	2
title_short	Optimal power flow using differential evolution algorithm
url	https://doi.org/10.1007/s00202-009-0116-z
remote_bool	false
author2	Abido, M. A. Spea, S. R.
author2Str	Abido, M. A. Spea, S. R.
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doi_str	10.1007/s00202-009-0116-z
up_date	2024-07-03T20:20:26.582Z
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