Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm
This paper deals with the problem of the optimal selection of capacitor banks in electrical AC distribution systems for minimizing the costs of energy losses during a year of operation through a discrete version of the vortex search algorithm (DVSA). This algorithm works with a hypersphere with a va...
- Autores:
-
Gil-González, Walter
Montoya, Oscar Danilo
Rajagopalan, Arul
Grisales-Noreña, Luis Fernando
Hernández, Jesus C.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9550
- Palabra clave:
- Optimal location of capacitor banks
Discrete vortex search algorithm
Metaheuristic optimization
Energy losses minimization
Radial distribution networks
Medium-voltage distribution levels
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| title |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| spellingShingle |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm Optimal location of capacitor banks Discrete vortex search algorithm Metaheuristic optimization Energy losses minimization Radial distribution networks Medium-voltage distribution levels |
| title_short |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| title_full |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| title_fullStr |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| title_full_unstemmed |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| title_sort |
Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithm |
| dc.creator.fl_str_mv |
Gil-González, Walter Montoya, Oscar Danilo Rajagopalan, Arul Grisales-Noreña, Luis Fernando Hernández, Jesus C. |
| dc.contributor.author.none.fl_str_mv |
Gil-González, Walter Montoya, Oscar Danilo Rajagopalan, Arul Grisales-Noreña, Luis Fernando Hernández, Jesus C. |
| dc.subject.keywords.spa.fl_str_mv |
Optimal location of capacitor banks Discrete vortex search algorithm Metaheuristic optimization Energy losses minimization Radial distribution networks Medium-voltage distribution levels |
| topic |
Optimal location of capacitor banks Discrete vortex search algorithm Metaheuristic optimization Energy losses minimization Radial distribution networks Medium-voltage distribution levels |
| description |
This paper deals with the problem of the optimal selection of capacitor banks in electrical AC distribution systems for minimizing the costs of energy losses during a year of operation through a discrete version of the vortex search algorithm (DVSA). This algorithm works with a hypersphere with a variable radius defined by an exponential function where a Gaussian distribution is used to generate a set of candidate solutions uniformly distributed around the center of this hypersphere. This center corresponds to the best solution obtained at the iteration t, which is initialized at the center of the solution space at the iterative search beginning. The main advantage of combining the exponential function with the Gaussian distribution is the correct balance between the exploration and exploitation of the solution space, which allows reaching the global optimal solution of the optimization problem with a low standard deviation, i.e., guaranteeing repeatability at each simulation. Two classical distribution networks composed of 33 and 69 nodes were used to validate the proposed DVSA algorithm. They demonstrated that the DVSA improves numerical reports found in specialized literature regarding the optimal selection and location of fixed-step capacitor banks with a low computational burden. All the simulations were carried out in MATLAB software. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-11-04T21:45:47Z |
| dc.date.available.none.fl_str_mv |
2020-11-04T21:45:47Z |
| dc.date.issued.none.fl_str_mv |
2020-09-19 |
| dc.date.submitted.none.fl_str_mv |
2020-11-04 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Gil-González, W.; Montoya, O.D.; Rajagopalan, A.; Grisales-Noreña, L.F.; Hernández, J.C. Optimal Selection and Location of Fixed-Step Capacitor Banks in Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Energies 2020, 13, 4914. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/9550 |
| dc.identifier.url.none.fl_str_mv |
https://www.mdpi.com/1996-1073/13/18/4914 |
| dc.identifier.doi.none.fl_str_mv |
10.3390/en13184914 |
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Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Gil-González, W.; Montoya, O.D.; Rajagopalan, A.; Grisales-Noreña, L.F.; Hernández, J.C. Optimal Selection and Location of Fixed-Step Capacitor Banks in Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Energies 2020, 13, 4914. 10.3390/en13184914 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/9550 https://www.mdpi.com/1996-1073/13/18/4914 |
| dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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21 páginas |
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application/pdf |
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Cartagena de Indias |
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Energies 2020, 13(18), 4914 |
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Universidad Tecnológica de Bolívar |
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Gil-González, Walterce1f5078-74c6-4b5c-b56a-784f85e52a08Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Rajagopalan, Arul6d04d6b3-17a1-49be-a90b-6ea66be6d1c6Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d1Hernández, Jesus C.349b3120-388b-42be-8bea-32156f0dc09d2020-11-04T21:45:47Z2020-11-04T21:45:47Z2020-09-192020-11-04Gil-González, W.; Montoya, O.D.; Rajagopalan, A.; Grisales-Noreña, L.F.; Hernández, J.C. Optimal Selection and Location of Fixed-Step Capacitor Banks in Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Energies 2020, 13, 4914.https://hdl.handle.net/20.500.12585/9550https://www.mdpi.com/1996-1073/13/18/491410.3390/en13184914Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper deals with the problem of the optimal selection of capacitor banks in electrical AC distribution systems for minimizing the costs of energy losses during a year of operation through a discrete version of the vortex search algorithm (DVSA). This algorithm works with a hypersphere with a variable radius defined by an exponential function where a Gaussian distribution is used to generate a set of candidate solutions uniformly distributed around the center of this hypersphere. This center corresponds to the best solution obtained at the iteration t, which is initialized at the center of the solution space at the iterative search beginning. The main advantage of combining the exponential function with the Gaussian distribution is the correct balance between the exploration and exploitation of the solution space, which allows reaching the global optimal solution of the optimization problem with a low standard deviation, i.e., guaranteeing repeatability at each simulation. Two classical distribution networks composed of 33 and 69 nodes were used to validate the proposed DVSA algorithm. They demonstrated that the DVSA improves numerical reports found in specialized literature regarding the optimal selection and location of fixed-step capacitor banks with a low computational burden. All the simulations were carried out in MATLAB software.21 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_abf2Energies 2020, 13(18), 4914Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the vortex search algorithminfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Optimal location of capacitor banksDiscrete vortex search algorithmMetaheuristic optimizationEnergy losses minimizationRadial distribution networksMedium-voltage distribution levelsCartagena de IndiasPúblico generalPoudineh, R.; Peng, D.; Mirnezami, S. Electricity Networks: Technology, Future Role and Economic Incentives for Innovation; Technical Report; The Oxford Institute for Energy Studies: Oxford, UK, 201Lavorato, M.; Franco, J.F.; Rider, M.J.; Romero, R. Imposing Radiality Constraints in Distribution System Optimization Problems. IEEE Trans. Power Syst. 2012, 27, 172–18Montoya, O.D.; Gil-González, W. Dynamic active and reactive power compensation in distribution networks with batteries: A day-ahead economic dispatch approach. Comput. Electr. Eng. 2020, 85, 106710Sultana, S.; Roy, P.K. Krill herd algorithm for optimal location of distributed generator in radial distribution system. Appl. Soft Comput. 2016, 40, 391 – 404Soltani, S.; Rashidinejad, M.; Abdollahi, A. Stochastic Multiobjective Distribution Systems Phase Balancing Considering Distributed Energy Resources. IEEE Syst. J. 2018, 12, 2866–2877Abdelaziz, A.; Ali, E.; Elazim, S.A. Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index. Eng. Sci. Technol. Int. J. 2016, 19, 610–618Grisales-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, 100891Verma, H.K.; Singh, P. Optimal Reconfiguration of Distribution Network Using Modified Culture Algorithm. J. Inst. Eng. India Ser. B 2018, 99, 613–622Grisales-Noreña, L.; Montoya, O.D.; Ramos-Paja, C.A. An energy management system for optimal operation of BSS in DC distributed generation environments based on a parallel PSO algorithm. J. Energy Storage 2020, 29, 101488Ghosh, A.; Ledwich, G. Series Compensation of Power Distribution System. In Power Quality Enhancement Using Custom Power Devices; Springer: Boston, MA, USA, 2002; pp. 333–37Abdelaziz, A.; Mohamed, F.; Mekhamer, S.; Badr, M. Distribution system reconfiguration using a modified Tabu Search algorithm. Electr. Power Syst. Res. 2010, 80, 943–95Khodr, H.; Olsina, F.; De Oliveira-De Jesus, P.; Yusta, J. Maximum savings approach for location and sizing of capacitors in distribution systems. Electr. Power Syst. Res. 2008, 78, 1192–1203Nojavan, S.; Jalali, M.; Zare, K. Optimal allocation of capacitors in radial/mesh distribution systems using mixed integer nonlinear programming approach. Electr. Power Syst. Res. 2014, 107, 119–124Ramadan, H.A.; Wahab, M.A.; El-Sayed, A.H.M.; Hamada, M.M. A fuzzy-based approach for optimal allocation and sizing of capacitor banks. Electr. Power Syst. Res. 2014, 106, 232–240Elsheikh, A.; Helmy, Y.; Abouelseoud, Y.; Elsherif, A. Optimal capacitor placement and sizing in radial electric power systems. Alex. Eng. J. 2014, 53, 809–816Devabalaji, K.R.; Ravi, K.; Kothari, D. Optimal location and sizing of capacitor placement in radial distribution system using bacterial foraging optimization algorithm. Int. J. Electr. Power Energy Syst. 2015, 71, 383–390Shuaib, Y.M.; Kalavathi, M.S.; Rajan, C.C.A. Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm. Int. J. Electr. Power Energy Syst. 2015, 64, 384–397Lee, C.S.; Ayala, H.V.H.; dos Santos Coelho, L. Capacitor placement of distribution systems using particle swarm optimization approaches. Int. J. Electr. Power Energy Syst. 2015, 64, 839–851.Ali, E.; Abd Elazim, S.; Abdelaziz, A. Improved Harmony Algorithm for optimal locations and sizing of capacitors in radial distribution systems. Int. J. Electr. Power Energy Syst. 2016, 79, 275–284Abul’Wafa, A.R. Optimal capacitor allocation in radial distribution systems for loss reduction: A two stage method. Electr. Power Syst. Res. 2013, 95, 168–174.Tamilselvan, V.; Jayabarathi, T.; Raghunathan, T.; Yang, X.S. Optimal capacitor placement in radial distribution systems using flower pollination algorithm. Alex. Eng. J. 2018, 57, 2775–2786.Sultana, S.; Roy, P.K. Optimal capacitor placement in radial distribution systems using teaching learning based optimization. Int. J. Electr. Power Energy Syst. 2014, 54, 387–398.Asl, T.S.; Jamali, S. Optimal capacitor placement size and location of shunt capacitor for reduction of losses on distribution feeders. In Proceedings of the 2009 International Conference on Clean Electrical Power, Capri, Italy, 9–11 June 2009; pp. 223–226Guimarães, M.A.; Castro, C.A. An efficient method for distribution systems reconfiguration and capacitor placement using a Chu-Beasley based genetic algorithm. In Proceedings of the 2011 IEEE Trondheim PowerTech, Trondheim, Norway, 19–23 June 2011; pp. 1–7Rao, R.S.; Narasimham, S.; Ramalingaraju, M. Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm. Int. J. Electr. Power Energy Syst. 2011, 33, 1133–1139.Raju, M.R.; Murthy, K.R.; Ravindra, K. Direct search algorithm for capacitive compensation in radial distribution systems. Int. J. Electr. Power Energy Syst. 2012, 42, 24–30Das, P.; Banerjee, S. Placement of capacitor in a radial distribution system using loss sensitivity factor and cuckoo search algorithm. Int. J. Sci. Res. Manag. 2013, 2, 751–757.Das, P.; Banerjee, S. Optimal Sizing And Placement Of Capacitor In A Radial Distribution System Using Loss Sensitivity Factor And Firefly Algorithm. Int. J. Eng. Comput. Sci. 2014, 3, 5346–5352.El-Fergany, A.A.; Abdelaziz, A.Y. Capacitor placement for net saving maximization and system stability enhancement in distribution networks using artificial bee colony-based approach. Int. Jo. Electr. Power Energy Syst. 2014, 54, 235–243.Aydin, O.; Tezcan, S.; Eke, I.; Taplamacioglu, M. Solving the Optimal Power Flow Quadratic Cost Functions using Vortex Search Algorithm. IFAC-PapersOnLine 2017, 50, 239–244.Montoya, O.D.; Grisales-Noreña, L.F.; Amin, W.T.; Rojas, L.A.; Campillo, J. Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology. Commun. Comput. Inf. Sci. 2019, 1052, 235–249.Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L.F. Vortex Search Algorithm for Optimal Power Flow Analysis in DC Resistive Networks with CPLs. IEEE Trans. Circuits Syst. II 2019, 67, 1439–1443.Dogan, B.; Olmez, T. Vortex search algorithm for the analog active filter component selection problem. AEU Int. J. Electr. Commun. 2015, 69, 1243–1253.Dogan, B. A Modified Vortex Search Algorithm for Numerical Function Optimization. Int. J. Artif. Intell. Appl. 2016, 7, 37–54Razavi, S.F.; Sajedi, H. SVSA: A Semi-Vortex Search Algorithm for solving optimization problems. Int. J. Data Sci. Anal. 2018, 8, 15–32.Li, P.; Zhao, Y. A quantum-inspired vortex search algorithm with application to function optimization. Nat. Comput. 2018, 18, 647–674.Qyyum, M.A.; Yasin, M.; Nawaz, A.; He, T.; Ali, W.; Haider, J.; Qadeer, K.; Nizami, A.S.; Moustakas, K.; Lee, M. Single-Solution-Based Vortex Search Strategy for Optimal Design of Offshore and Onshore Natural Gas Liquefaction Processes. Energies 2020, 13, 1732.Toz, M. Chaos-based Vortex Search algorithm for solving inverse kinematics problem of serial robot manipulators with offset wrist. Appl. Soft Comput. 2020, 89, 106074Montoya, O.D.; Gil-González, W. On the numerical analysis based on successive approximations for power flow problems in AC distribution systems. Electr. Power Syst. Res. 2020, 187, 106454Ozkıs, A.; Babalık, A. A novel metaheuristic for multi-objective optimization problems: The multi-objective vortex search algorithm. Inf. Sci. 2017, 402, 124–148.Grisales-Noreña, L.F.; Gonzalez-Montoya, D.; Ramos-Paja, C.A. Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques. Energies 2018, 11, 1018.Garces, A. A Linear Three-Phase Load Flow for Power Distribution Systems. IEEE Trans. Power Syst. 2016, 31, 827–828.Shen, T.; Li, Y.; .; Xiang, J. A Graph-Based Power Flow Method for Balanced Distribution Systems. 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