Revisión Literaria de Despacho Económico Ambiental considerando análisis bibliométrico
DOI:
https://doi.org/10.15332/iteckne.v19i1.2631Palabras clave:
Despacho Económico Ambiental, Optimización Multiobjetiva, VOSviewer, Análisis BiblimétricoResumen
Resumen: El presente documento realiza un análisis bibliométrico del tema “Environmental Economic Dispatch” para conocer la evolución y las características de su producción científica. Se analizan 736 documentos publicados entre 2000 y 2020 y de estos se extrae los 15 más relevantes, estos serán analizados a detalle tomando en consideración indicadores como el año de publicación, el tema, revista de indexación, cantidad de citas, la temática que aborda y la metodología propuesta. Toda la información se obtuvo de la base de datos Web Of Science (WOS), se empleó esta debido a su alto factor de impacto. En la metodología se expone en análisis bibliométrico que se realizó en el software Vosviewer, el tipo de análisis que se empleo es el de citación y las unidades de análisis trabajadas son las de documentos, fuentes, autores, organizaciones y países. Las unidades de análisis poseen métricas y tablas que ayuden al lector a recopilar la información mostrada de mejor manera, tomando en consideración la cantidad de citas y la cantidad de documentos. En la revisión literaria, se analiza a profundidad los 15 documentos más relevantes obtenidos en el análisis bibliométrico, además se adjunta una tabla a modo de resumen de la temática y metodología propuesta por estos documentos para que el lector sea capaz de identificar más rápido cada uno de estos. En los resultados se destaca el documento más completo para las temáticas propuestas y el documento más citado. Este artículo será una guía útil para los investigadores.
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[2] G. Wood, Allen; Wollenberg, Bruce; Sheblé, Power Generation, Operation and Control, Third Edit. Ney Jersey: IEEE Canada, 2013.
[3] J. K. Arthur, E. A. Frimpong, and J. O. Adjei, “A Literature Survey of Recent Advances in the Solution of Combined Economic Emission Dispatch Problem,” IEEE AFRICON Conf., vol. 2019-Septe, 2019, doi: 10.1109/AFRICON46755.2019.9133761.
[4] L. Wang and C. Singh, “Environmental/Economic Power Dispatch Using a Fuzzified Multi-Objective Particle Swarm Optimization Algorithm,” Electr. Power Syst. Res., vol. 77, no. 12, pp. 1654–1664, Oct. 2007, doi: 10.1016/j.epsr.2006.11.012.
[5] S. P. Simon and S. Hemamalini, “Maclaurin series-based Lagrangian method for economic dispatch with valve-point effect,” IET Gener. Transm. Distrib., vol. 3, no. 9, pp. 859–871, Sep. 2009, doi: 10.1049/iet-gtd.2008.0499.
[6] R. Chakrabarti, P. K. Chattopadhyay, and C. K. Panigrahi, “A review of recent advances in dynamic economic dispatch,” J. Inst. Eng. Electr. Eng. Div., vol. 91, no. JUNE, pp. 9–15, 2010.
[7] W. M. Lin and S. J. Chen, “Bid-based dynamic economic dispatch with an efficient interior point algorithm,” Int. J. Electr. Power Energy Syst., vol. 24, no. 1, pp. 51–57, 2002, doi: 10.1016/S0142-0615(01)00007-2.
[8] J. P. Zhan, Q. H. Wu, C. X. Guo, and X. X. Zhou, “Fast $\lambda$-Iteration Method for Economic Dispatch With Prohibited Operating Zones,” IEEE Trans. Power Syst., vol. 29, no. 2, pp. 990–991, Mar. 2014, doi: 10.1109/TPWRS.2013.2287995.
[9] S.-D. Chen and J.-F. Chen, “A direct Newton–Raphson economic emission dispatch,” Int. J. Electr. Power Energy Syst., vol. 25, no. 5, pp. 411–417, Jun. 2003, doi: 10.1016/S0142-0615(02)00075-3.
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[14] F. N. Lee and A. M. Breipohl, “Reserve Constrained Economic Dispatch with Prohibited Operating Zones,” IEEE Trans. Power Syst., vol. 8, no. 1, pp. 246–254, 1993, doi: 10.1109/59.221233.
[15] J. Y. Fan and J. D. McDonald, “A practical approach to real time economic dispatch considering unit’s prohibited operating zones,” IEEE Trans. Power Syst., vol. 9, no. 4, pp. 1737–1743, 1994, doi: 10.1109/59.331425.
[16] S. Hemamalini and S. P. Simon, “Dynamic economic dispatch using Maclaurin series based Lagrangian method,” Energy Convers. Manag., vol. 51, no. 11, pp. 2212–2219, 2010, doi: 10.1016/j.enconman.2010.03.015.
[17] M. A. Abido, “Multiobjective Particle Swarm Optimization for Environmental/Economic Dispatch Problem,” Electr. Power Syst. Res., vol. 79, no. 7, pp. 1105–1113, Jul. 2009, doi: 10.1016/j.epsr.2009.02.005.
[18] M. A. Abido, “A Niched Pareto Genetic Algorithm for Multiobjective Environmental/Economic Dispatch,” Int. J. Electr. Power Energy Syst., vol. 25, no. 2, pp. 97–105, 2003, doi: 10.1016/S0142-0615(02)00027-3.
[19] K. Xu, J. Zhou, Y. Zhang, and R. Gu, “Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch,” Expert Syst. Appl., vol. 39, no. 4, pp. 3956–3963, Mar. 2012, doi: 10.1016/j.eswa.2011.08.145.
[20] T. Jayabarathi, K. Jayaprakash, D. N. Jeyakumar, and T. Raghunathan, “Evolutionary programming techniques for different kinds of economic dispatch problems,” Electr. Power Syst. Res., vol. 73, no. 2, pp. 169–176, 2005, doi: 10.1016/j.epsr.2004.08.001.
[21] M. Vanitha, “Non Convex Economic Load Dispatch Problem By Efficient Biogeography Based Optimization Algorithm,” Intell. Syst. Ref. Libr., vol. 62, pp. 81–91, 2014, doi: 10.1007/978-3-319-03404-1_5.
[22] K. Vishwakarma, H. Dubey, M. Pandit, and B. Panigrahi, “Simulated annealing approach for solving economic load dispatch problems with valve point loading effects,” Int. J. Eng. Sci. Technol., vol. 4, no. 4, pp. 60–72, 2013, doi: 10.4314/ijest.v4i4.6.
[23] S. Pothiya, I. Ngamroo, and W. Kongprawechnon, “Ant colony optimisation for economic dispatch problem with non-smooth cost functions,” Int. J. Electr. Power Energy Syst., vol. 32, no. 5, pp. 478–487, 2010, doi: 10.1016/j.ijepes.2009.09.016.
[24] T. Niknam, H. D. Mojarrad, H. Z. Meymand, and B. B. Firouzi, “A new honey bee mating optimization algorithm for non-smooth economic dispatch,” Energy, vol. 36, no. 2, pp. 896–908, 2011, doi: 10.1016/j.energy.2010.12.021.
[25] B. K. Panigrahi and V. Ravikumar Pandi, “Bacterial foraging optimisation: Nelder–Mead hybrid algorithm for economic load dispatch,” IET Gener. Transm. Distrib., vol. 2, no. 4, p. 556, 2008, doi: 10.1049/iet-gtd:20070422.
[26] M. H. Sulaiman, M. W. Mustafa, Z. N. Zakaria, O. Aliman, and S. R. Abdul Rahim, “Firefly algorithm technique for solving economic dispatch problem,” 2012 IEEE Int. Power Eng. Optim. Conf. PEOCO 2012 - Conf. Proc., no. June, pp. 90–95, 2012, doi: 10.1109/PEOCO.2012.6230841.
[27] N. T. P. Thao and N. T. Thang, “Environmental Economic Load Dispatch with Quadratic Fuel Cost Function Using Cuckoo Search Algorithm,” Int. J. u- e-Service, Sci. Technol., vol. 7, no. 2, pp. 199–210, 2014, doi: 10.14257/ijunesst.2014.7.2.19.
[28] B. Mallikarjuna, M. T. Student, K. H. Reddy, and O. Hemakesavulu, “Economic Load Dispatch Problem with Valve – Point Effect Using a Binary Bat Algorithm,” ACEEE Int. J. Electr. Power Eng., vol. 4, no. 3, pp. 33–38, 2013.
[29] T. Jayabarathi, T. Raghunathan, B. R. Adarsh, and P. N. Suganthan, “Economic dispatch using hybrid grey wolf optimizer,” Energy, vol. 111, pp. 630–641, 2016, doi: 10.1016/j.energy.2016.05.105.
[30] E. Sayedi, M. M. Farsangi, M. Barati, and K. Y. Lee, “A modified Shuffled frog leaping algorithm for nonconvex economic dispatch problem,” IEEE Power Energy Soc. Gen. Meet., pp. 1–8, 2012, doi: 10.1109/PESGM.2012.6345586.
[31] A. Y. Abdelaziz, E. S. Ali, and S. M. Abd Elazim, “Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems,” Energy, vol. 101, pp. 506–518, Apr. 2016, doi: 10.1016/j.energy.2016.02.041.
[32] T. Niknam, F. Golestaneh, and M. S. Sadeghi, “θ-Multiobjective teaching-learning-based optimization for dynamic economic emission dispatch,” IEEE Syst. J., vol. 6, no. 2, pp. 341–352, 2012, doi: 10.1109/JSYST.2012.2183276.
[33] W. Sa-Ngiamvibool, S. Pothiya, and I. Ngamroo, “Multiple tabu search algorithm for economic dispatch problem considering valve-point effects,” Int. J. Electr. Power Energy Syst., vol. 33, no. 4, pp. 846–854, 2011, doi: 10.1016/j.ijepes.2010.11.011.
[34] L. Wang and L. P. Li, “An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems,” Int. J. Electr. Power Energy Syst., vol. 44, no. 1, pp. 832–843, 2013, doi: 10.1016/j.ijepes.2012.08.021.
[35] B. Mohammadi-ivatloo, A. Rabiee, A. Soroudi, and M. Ehsan, “Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch,” Energy, vol. 44, no. 1, pp. 228–240, Aug. 2012, doi: 10.1016/j.energy.2012.06.034.
[36] I. N. The, O. F. Power, and I. Committee, “Present practices in the economic operation of power systems,” IEEE Trans. Power Appar. Syst., vol. PAS-90, no. 4, pp. 1768–1775, 1971, doi: 10.1109/TPAS.1971.293169.
[37] A. Lee, Fred; Breipohl, “Reserve constrained economic dispatch with prohibited zones,” IEEE Trans. Power Syst., vol. 53, no. 9, pp. 1689–1699, 1993.
[38] M. Rodrigues Barbosa Dos Santos et al., “A Proposed Methodology Involving Progressive Bounded Constraints and Interior-Exterior Methods in Smoothed Economic/Environmental Dispatch Problems,” IEEE Lat. Am. Trans., vol. 15, no. 8, pp. 1422–1431, 2017, doi: 10.1109/TLA.2017.7994788.
[39] J. I. de Granda-Orive, A. Alonso-Arroyo, and F. Roig-Vázquez, “¿Qué base de datos debemos emplear para nuestros análisis bibliográficos? Web of Science versus SCOPUS,” Arch. Bronconeumol., vol. 47, no. 4, p. 213, 2011, doi: 10.1016/j.arbres.2010.10.007.
[40] M. Romero, Manuel; Olite, Diego; Álvarez, “La contaminación del aire: su repercusión como problema de salud,” Rev. Cubana Hig. Epidemiol., vol. 44, p. 14, 2006.
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2022-01-01
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Ruiz Tipán, F. S., & Valenzuela Santillán, A. D. (2022). Revisión Literaria de Despacho Económico Ambiental considerando análisis bibliométrico. ITECKNE, 19(1), 26–38. https://doi.org/10.15332/iteckne.v19i1.2631
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Artículos de Investigación e Innovación
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