Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement

: This study addresses the problem of the maximization of the voltage stability index (λcoefficient) in medium-voltage distribution networks considering the optimal placement and sizing of dispersed generators. The problem is formulated through a mixed-integer nonlinear programming model (MINLP), wh...

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Autores:: Aguirre-Angulo, Brayan Enrique
Giraldo-Bello, Lady Carolina
Montoya, Oscar Danilo
David Moya, Francisco

Tipo de recurso:

Fecha de publicación:: 2022

Institución:: Universidad Tecnológica de Bolívar

Repositorio:: Repositorio Institucional UTB

Idioma:: eng

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dc.title.spa.fl_str_mv	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
title	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
spellingShingle	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement Voltage stability analysis Mathematical optimization Recursive solution methodologies Dispersed generation LEMB
title_short	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
title_full	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
title_fullStr	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
title_full_unstemmed	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
title_sort	Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement
dc.creator.fl_str_mv	Aguirre-Angulo, Brayan Enrique Giraldo-Bello, Lady Carolina Montoya, Oscar Danilo David Moya, Francisco
dc.contributor.author.none.fl_str_mv	Aguirre-Angulo, Brayan Enrique Giraldo-Bello, Lady Carolina Montoya, Oscar Danilo David Moya, Francisco
dc.subject.keywords.spa.fl_str_mv	Voltage stability analysis Mathematical optimization Recursive solution methodologies Dispersed generation
topic	Voltage stability analysis Mathematical optimization Recursive solution methodologies Dispersed generation LEMB
dc.subject.armarc.none.fl_str_mv	LEMB
description	: This study addresses the problem of the maximization of the voltage stability index (λcoefficient) in medium-voltage distribution networks considering the optimal placement and sizing of dispersed generators. The problem is formulated through a mixed-integer nonlinear programming model (MINLP), which is solved using General Algebraic Modeling System (GAMS) software. A numerical example with a 7-bus radial distribution network is employed to introduce the usage of GAMS software to solve the proposed MINLP model. A new validation methodology to verify the numerical results provided for the λ-coefficient is proposed by using recursive power flow evaluations in MATLAB and DigSILENT software. The recursive evaluations allow the determination of the λ-coefficient through the implementation of the successive approximation power flow method and the Newton–Raphson approach, respectively. It is effected by fixing the sizes and locations of the dispersed sources using the optimal solution obtained with GAMS software. Numerical simulations in the IEEE 33- and 69-bus systems with different generation penetration levels and the possibility of installing one to three dispersed generators demonstrate that the GAMS and the recursive approaches determine the same loadability index. Moreover, the numerical results indicate that, depending on the number of dispersed generators allocated, it is possible to improve the λ-coefficient between 20.96% and 37.43% for the IEEE 33-bus system, and between 18.41% and 41.98% for the IEEE 69-bus system
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-06-29T19:34:21Z
dc.date.available.none.fl_str_mv	2022-06-29T19:34:21Z
dc.date.issued.none.fl_str_mv	2022-01-25
dc.date.submitted.none.fl_str_mv	2022-06-28
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dc.identifier.citation.spa.fl_str_mv	Aguirre-Angulo, B.E.; Giraldo-Bello, L.C.; Montoya, O.D.; Moya, F.D. Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement. Algorithms 2022, 15, 37. https://doi.org/10.3390/a15020037
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12585/10702
dc.identifier.doi.none.fl_str_mv	https://doi.org/10.3390/a15020037
dc.identifier.instname.spa.fl_str_mv	Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv	Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv	Aguirre-Angulo, B.E.; Giraldo-Bello, L.C.; Montoya, O.D.; Moya, F.D. Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement. Algorithms 2022, 15, 37. https://doi.org/10.3390/a15020037 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar
url	https://hdl.handle.net/20.500.12585/10702 https://doi.org/10.3390/a15020037
dc.language.iso.spa.fl_str_mv	eng
language	eng
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dc.rights.accessRights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv	Attribution-NonCommercial-NoDerivatives 4.0 Internacional
rights_invalid_str_mv	http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.extent.none.fl_str_mv	19 Páginas
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.place.spa.fl_str_mv	Cartagena de Indias
dc.source.spa.fl_str_mv	Algorithms, Vol. 15 N° 2 (2022)
institution	Universidad Tecnológica de Bolívar
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spelling	Aguirre-Angulo, Brayan Enrique0951b039-9d6c-4310-bdfc-d30aea1155c0Giraldo-Bello, Lady Carolinae6884cf9-482e-4b9f-81a7-fece3d24b98fMontoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480David Moya, Francisco53353a38-a268-49e2-bdee-2ba9b354638b2022-06-29T19:34:21Z2022-06-29T19:34:21Z2022-01-252022-06-28Aguirre-Angulo, B.E.; Giraldo-Bello, L.C.; Montoya, O.D.; Moya, F.D. Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancement. Algorithms 2022, 15, 37. https://doi.org/10.3390/a15020037https://hdl.handle.net/20.500.12585/10702https://doi.org/10.3390/a15020037Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de Bolívar: This study addresses the problem of the maximization of the voltage stability index (λcoefficient) in medium-voltage distribution networks considering the optimal placement and sizing of dispersed generators. The problem is formulated through a mixed-integer nonlinear programming model (MINLP), which is solved using General Algebraic Modeling System (GAMS) software. A numerical example with a 7-bus radial distribution network is employed to introduce the usage of GAMS software to solve the proposed MINLP model. A new validation methodology to verify the numerical results provided for the λ-coefficient is proposed by using recursive power flow evaluations in MATLAB and DigSILENT software. The recursive evaluations allow the determination of the λ-coefficient through the implementation of the successive approximation power flow method and the Newton–Raphson approach, respectively. It is effected by fixing the sizes and locations of the dispersed sources using the optimal solution obtained with GAMS software. Numerical simulations in the IEEE 33- and 69-bus systems with different generation penetration levels and the possibility of installing one to three dispersed generators demonstrate that the GAMS and the recursive approaches determine the same loadability index. Moreover, the numerical results indicate that, depending on the number of dispersed generators allocated, it is possible to improve the λ-coefficient between 20.96% and 37.43% for the IEEE 33-bus system, and between 18.41% and 41.98% for the IEEE 69-bus system19 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Algorithms, Vol. 15 N° 2 (2022)Optimal Integration of Dispersed Generation in Medium-Voltage Distribution Networks for Voltage Stability Enhancementinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Voltage stability analysisMathematical optimizationRecursive solution methodologiesDispersed generationLEMBCartagena de IndiasValencia, A.; Hincapie, R.A.; Gallego, R.A. 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Energy Rep. 2020, 6, 3462–3471Castiblanco-Pérez, C.M.; Toro-Rodríguez, D.E.; Montoya, O.D.; Giral-Ramírez, D.A. Optimal Placement and Sizing of DSTATCOM in Radial and Meshed Distribution Networks Using a Discrete-Continuous Version of the Genetic Algorithm. Electronics 2021, 10, 1452.Baltensperger, D.; Buechi, A.; Sevilla, F.S.; Korba, P. Optimal Integration of Battery Energy Storage Systems and Control of Active Power Curtailment for Distribution Generation. IFAC-PapersOnLine 2017, 50, 8856–8860Grisales-Noreña, L.; Montoya, O.D.; Gil-González, W. Integration of energy storage systems in AC distribution networks: Optimal location, selecting, and operation approach based on genetic algorithms. J. Energy Storage 2019, 25, 100891Onlam, A.; Yodphet, D.; Chatthaworn, R.; Surawanitkun, C.; Siritaratiwat, A.; Khunkitti, P. Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm. Energies 2019, 12, 553Hao, Q.; Gao, Z.; Bai, X.; Cao, M. Two-level reconfiguration algorithm of branch exchange and variable neighbourhood search for active distribution network. Syst. Sci. Control Eng. 2018, 6, 109–117Montoya, O.D.; Gil-González, W.; Orozco-Henao, C. Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach. Eng. Sci. Technol. Int. J. 2020, 23, 1351–1363.Devabalaji, K.; Imran, A.M.; Yuvaraj, T.; Ravi, K. Power Loss Minimization in Radial Distribution System. Energy Procedia 2015, 79, 917–923Ranjan, R.; Das, D. Voltage Stability Analysis of Radial Distribution Networks. Electr. Power Components Syst. 2003, 31, 501–511Zhang, L.; Sun, L. Multi-Objective Service Restoration for Blackout of Distribution System with Distributed Generators based on Multi-Agent GA. Energy Procedia 2011, 12, 253–262.Bulat, H.; Frankovi´c, D.; Vlahini´c, S. Enhanced Contingency Analysis—A Power System Operator Tool. Energies 2021, 14, 923.Chakravorty, M.; Das, D. Voltage stability analysis of radial distribution networks. Int. J. Electr. Power Energy Syst. 2001, 23, 129–135Montoya, O.D.; Gil-González, W.; Arias-Londoño, A.; Rajagopalan, A.; Hernández, J.C. Voltage Stability Analysis in MediumVoltage Distribution Networks Using a Second-Order Cone Approximation. Energies 2020, 13, 5717Ghaffarianfar, M.; Hajizadeh, A. Voltage Stability of Low-Voltage Distribution Grid with High Penetration of Photovoltaic Power Units. Energies 2018, 11, 1960Aly, M.M.; Abdel-Akher, M. A continuation power-flow for distribution systems voltage stability analysis. 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