A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints

Today, generation and transmission expansion planning (G&TEP) to meet potential load growth is restricted by reliability constraints and the presence of uncertainties. This study proposes the reliability constrained planning method for integrated renewable energy sources and transmission expansi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mohamed M. Refaat, Shady H. E. Abdel Aleem, Yousry Atia, Ziad M. Ali, Adel El-Shahat, Mahmoud M. Sayed
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/5530093df2f54736ac6fb4830888ac27
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5530093df2f54736ac6fb4830888ac27
record_format dspace
spelling oai:doaj.org-article:5530093df2f54736ac6fb4830888ac272021-11-11T18:18:48ZA Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints10.3390/math92127712227-7390https://doaj.org/article/5530093df2f54736ac6fb4830888ac272021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2771https://doaj.org/toc/2227-7390Today, generation and transmission expansion planning (G&TEP) to meet potential load growth is restricted by reliability constraints and the presence of uncertainties. This study proposes the reliability constrained planning method for integrated renewable energy sources and transmission expansion considering fault current limiter (FCL) placement and sizing and N-1 security. Moreover, an approach for dealing with uncertain events is adopted. The proposed planning model translates into a mixed-integer non-linear programming model, which is complex and not easy to solve. The problem was formulated as a tri-level problem, and a hybridization framework between meta-heuristic and mathematical optimization algorithms was introduced to avoid linearization errors and simplify the solution. For this reason, three meta-heuristic techniques were tested. The proposed methodology was conducted on the Egyptian West Delta system. The numerical results demonstrated the efficiency of integrating G&TEP and FCL allocation issues in improving power system reliability. Furthermore, the effectiveness of the hybridization algorithm in solving the suggested problem was validated by comparison with other optimization algorithms.Mohamed M. RefaatShady H. E. Abdel AleemYousry AtiaZiad M. AliAdel El-ShahatMahmoud M. SayedMDPI AGarticlegeneration and transmission expansion planningrenewable energy sourcesfault current limitersN-1 securityoptimization algorithmsMathematicsQA1-939ENMathematics, Vol 9, Iss 2771, p 2771 (2021)
institution DOAJ
collection DOAJ
language EN
topic generation and transmission expansion planning
renewable energy sources
fault current limiters
N-1 security
optimization algorithms
Mathematics
QA1-939
spellingShingle generation and transmission expansion planning
renewable energy sources
fault current limiters
N-1 security
optimization algorithms
Mathematics
QA1-939
Mohamed M. Refaat
Shady H. E. Abdel Aleem
Yousry Atia
Ziad M. Ali
Adel El-Shahat
Mahmoud M. Sayed
A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
description Today, generation and transmission expansion planning (G&TEP) to meet potential load growth is restricted by reliability constraints and the presence of uncertainties. This study proposes the reliability constrained planning method for integrated renewable energy sources and transmission expansion considering fault current limiter (FCL) placement and sizing and N-1 security. Moreover, an approach for dealing with uncertain events is adopted. The proposed planning model translates into a mixed-integer non-linear programming model, which is complex and not easy to solve. The problem was formulated as a tri-level problem, and a hybridization framework between meta-heuristic and mathematical optimization algorithms was introduced to avoid linearization errors and simplify the solution. For this reason, three meta-heuristic techniques were tested. The proposed methodology was conducted on the Egyptian West Delta system. The numerical results demonstrated the efficiency of integrating G&TEP and FCL allocation issues in improving power system reliability. Furthermore, the effectiveness of the hybridization algorithm in solving the suggested problem was validated by comparison with other optimization algorithms.
format article
author Mohamed M. Refaat
Shady H. E. Abdel Aleem
Yousry Atia
Ziad M. Ali
Adel El-Shahat
Mahmoud M. Sayed
author_facet Mohamed M. Refaat
Shady H. E. Abdel Aleem
Yousry Atia
Ziad M. Ali
Adel El-Shahat
Mahmoud M. Sayed
author_sort Mohamed M. Refaat
title A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
title_short A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
title_full A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
title_fullStr A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
title_full_unstemmed A Mathematical Approach to Simultaneously Plan Generation and Transmission Expansion Based on Fault Current Limiters and Reliability Constraints
title_sort mathematical approach to simultaneously plan generation and transmission expansion based on fault current limiters and reliability constraints
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/5530093df2f54736ac6fb4830888ac27
work_keys_str_mv AT mohamedmrefaat amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT shadyheabdelaleem amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT yousryatia amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT ziadmali amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT adelelshahat amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT mahmoudmsayed amathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT mohamedmrefaat mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT shadyheabdelaleem mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT yousryatia mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT ziadmali mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT adelelshahat mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
AT mahmoudmsayed mathematicalapproachtosimultaneouslyplangenerationandtransmissionexpansionbasedonfaultcurrentlimitersandreliabilityconstraints
_version_ 1718431884832145408