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Estimación del margen de estabilidad de tensión en sistemas de potencia ante contingencias en líneas de transmisión mediante una formulación convexa y un enfoque heurístico

dc.contributor.advisorMontoya Giraldo, Oscar Danilo
dc.contributor.authorRojas Baez, Jenny Vanessa
dc.contributor.authorLaverde Rojas, Maria Fernanda
dc.contributor.orcid0009-0008-2001-8212
dc.contributor.orcid0009-0000-4385-8064
dc.contributor.orcid0000-0001-6051-4925
dc.creator.emailjenyrojas703@gmail.com
dc.creator.emailbrunis1no@gmail.com
dc.creator.id20211572011
dc.creator.id20212007030
dc.date.accessioned2026-06-30T21:15:23Z
dc.date.available2026-06-30T21:15:23Z
dc.date.created2026-05-25
dc.descriptionLa estabilidad de voltaje ante contingencias en las líneas de transmisión es una preocupación crítica en los sistemas eléctricos modernos, ya que la creciente demanda de electricidad y la integración a gran escala de fuentes de energía renovable ponen en riesgo la seguridad de la operación de la red. Este artículo aborda el problema de estimar el margen de estabilidad de voltaje ante N − 1 contingencias en las líneas de transmisión mediante tres metodologías de solución: una formulación de programación no lineal resuelta mediante un algoritmo de punto interior (IPOPT) con una estrategia de arranque múltiple, un enfoque heurístico recursivo basado en soluciones sucesivas de flujo de potencia de Newton-Raphson con escalado de carga progresivo y una relajación de programación de cono convexo de segundo orden. Los métodos propuestos se validan en los sistemas de prueba IEEE de 9, 14, 30 y 57 barras, cubriendo así redes de diversa complejidad topológica y redundancia. Un análisis comparativo evalúa la precisión de cada enfoque frente a una referencia de programación no lineal, así como su eficiencia computacional bajo un conjunto integral de escenarios de contingencia. Los resultados indican que el método heurístico logra una mayor precisión, mientras que la formulación convexa ofrece una solución sustancialmente más rápida, y ambos enfoques demuestran robustez en los casos en que el método de programación no lineal no converge.
dc.description.abstractVoltage stability under transmission line contingencies is a critical concern in modern power systems, as the growing electricity demand and the large-scale integration of renewable energy sources increasingly challenge the security of network operation. This paper addresses the problem of estimating the voltage stability margin under N − 1 transmission line contingencies through three solution methodologies: a nonlinear programming formulation solved via an interior-point algorithm (IPOPT) with a multi-start strategy, a recursive heuristic approach based on successive Newton–Raphson power flow solutions with progressive load scaling, and a convex second-order cone programming relaxation. The proposed methods are validated on the IEEE 9-, 14-, 30-, and 57-bus test systems, thereby covering networks of varying topological complexity and redundancy. A comparative analysis evaluates the accuracy of each approach against a nonlinear programming reference, as well as their computational efficiency under a comprehensive set of contingency scenarios. The results indicate that the heuristic method achieves higher precision, while the convex formulation offers a substantially faster solution, with both approaches demonstrating robustness in cases where the nonlinear programming method fails to converge.
dc.format.mimetypepdf
dc.identifier.urihttp://hdl.handle.net/11349/101905
dc.relation.referencesAdebayo, I.; Sun, Y. New Performance Indices for Voltage Stability Analysis in a Power System. Energies 2017, 10, 2042. 530 https://doi.org/10.3390/en10122042.
dc.relation.referencesZhang, H.; Ou, Y.; Ren, M.; Sun, Y.; Wang, P. Progress on the Sustainable Development Goals in Asia requires ambitious climate 532 targets combined with sustainability-focused measures. Communications Earth & Environment 2026, 7. https://doi.org/10.1038/ 533 s43247-025-02970-2.
dc.relation.referencesZahid, H.; Zulfiqar, A.; Adnan, M.; Iqbal, M.S.; Shah, A.; Mohamed, S.E.G. Global renewable energy transition: A multidisciplinary 535 analysis of emerging computing technologies, socio-economic impacts, and policy imperatives. Results in Engineering 2025, 536 26, 105258. https://doi.org/10.1016/j.rineng.2025.105258.
dc.relation.referencesur Rehman, A.; Sanjari, M.J.; Elavarasan, R.M.; Jamal, T. Sustainability-aligned pathways for energy transition: A review of 538 low-carbon energy network solutions. Renewable and Sustainable Energy Reviews 2026, 226, 116428. https://doi.org/10.1016/j.rser. 539 2025.116428.
dc.relation.referencesMilano, F.; Dörfler, F.; Hug, G.; Hill, D.J.; Verbiˇc, G. Foundations and Challenges of Low-Inertia Systems (Invited Paper). In 541 Proceedings of the 2018 Power Systems Computation Conference (PSCC). IEEE, 2018, pp. 1–25. https://doi.org/10.23919/pscc. 542 2018.8450880.
dc.relation.referencesDobson, I.; Glavitsch, H.; Liu, C.C.; Tamura, Y.; Vu, K. Voltage collapse in power systems. IEEE Circuits and Devices Magazine 1992, 544 8, 40–45. https://doi.org/10.1109/101.136788.
dc.relation.referencesNaik, S.; Khedkar, M.; Bhat, S. Effect of line contingency on static voltage stability and maximum loadability in large multi bus 546 power system. International Journal of Electrical Power & Energy Systems 2015, 67, 448–452. https://doi.org/10.1016/j.ijepes.2014.1 547 2.002.
dc.relation.referencesSalgado Duarte, Y.; del Castillo Serpa, A.M. Método heurístico para la evaluación de la confiabilidad en un subsistema de líneas 549 de transmisión. Revista de Ingeniería Energética 2016, 37, 3–14.
dc.relation.referencesBonini Neto, A.; Amancio Alves, D. Singularities Analysis of the Jacobian Matrix Modified in the Continuation Power Flow: 551 Mathematical Modeling. IEEE Latin America Transactions 2016, 14, 4750–4756. https://doi.org/10.1109/tla.2016.7817006.
dc.relation.referencesRinaudo, F.D.; Aromataris, L.M. Impacto de la generación eólica en estabilidad transitoria de sistemas eléctricos de potencia. In 553 Proceedings of the 2014 IEEE Biennial Congress of Argentina (ARGENCON). IEEE, 2014, pp. 438–442. https://doi.org/10.1109/ 554 ARGENCON.2014.6868533.
dc.relation.referencesCandelo, J.E.; Caicedo, G.; Castro, F. Methods for Voltage Stability Assessment in Power Systems (In Spanish). Información 556 tecnológica 2008, 19. https://doi.org/10.4067/s0718-07642008000500011.
dc.relation.referencesTamayo-Guzmán, F.E.; Barrera-Singaña, C.A. Estabilidad en régimen permanente de sistemas eléctricos de potencia considerando 558 límites de operación en generadores, transformadores y líneas de transmisión. Iteckne 2021, 18, 141–149. https://doi.org/10.153 559 32/ITECKNE.V18I2.2559
dc.relation.referencesPedersen, A.S.; Blanke, M.; Johannsson, H. Convex relaxation of power dispatch for voltage stability improvement. In Proceedings 561 of the 2015 IEEE Conference on Control Applications (CCA). IEEE, 2015, pp. 1528–1533. https://doi.org/10.1109/CCA.2015.732 562 0827.
dc.relation.referencesMontoya, O.D.; Gil-González,W.; Arias-Londoño, A.; Rajagopalan, A.; Hernández, J.C. Voltage Stability Analysis in Medium- 564 Voltage Distribution Networks Using a Second-Order Cone Approximation. Energies 2020, 13, 5545. https://doi.org/10.3390/ 565 en13215545.
dc.relation.referencesWang, C.; Cui, B.; Wang, Z.; Gu, C. SDP-Based Optimal Power Flow with Steady-State Voltage Stability Constraints. IEEE 567 Transactions on Smart Grid 2019, 10, 4637–4647. https://doi.org/10.1109/TSG.2018.2866068
dc.relation.referencesErgun, H.; Dave, J.; Van Hertem, D.; Geth, F. Optimal Power Flow for AC-DC Grids: Formulation, Convex Relaxation, Linear 569 Approximation, and Implementation. IEEE Transactions on Power Systems 2019, 34, 2980–2990. https://doi.org/10.1109/TPWRS. 570 2019.2897835.
dc.relation.referencesSantos-Azevedo, M.S.; Pérez-Abril, I.; de León-Benítez, C.; Cabral-Leite, J.; Holanda-Bezerra, U. Multiobjective optimization of 572 the reactive power compensation in electric distribution systems. DYNA 2014, 81, 175–183. https://doi.org/10.15446/DYNA.V8 573 1N187.40979.
dc.relation.referencesBai, W.; Lee, K.Y.; Eke, I. Optimal Power Flow Considering Global Voltage Stability Based on a Hybrid Modern Heuristic 575 Technique. IFAC-PapersOnLine 2022, 55, 413–418. https://doi.org/10.1016/j.ifacol.2022.07.072.
dc.relation.referencesKyomugisha, R.; Muriithi, C.M.; Edimu, M. Multiobjective optimal power flow for static voltage stability margin improvement. 577 Heliyon 2021, 7, e08631. https://doi.org/10.1016/j.heliyon.2021.e08631.
dc.relation.referencesPrabhakar, P.; Kumar, A. Voltage stability boundary and margin enhancement with FACTS and HVDC. International Journal of 579 Electrical Power & Energy Systems 2016, 82, 429–438. https://doi.org/10.1016/j.ijepes.2016.03.038
dc.relation.referencesCoffrin, C.; Bent, R.; Sundar, K.; Ng, Y.; Lubin, M. PowerModels.jl: An Open-Source Framework for Exploring Power Flow 581 Formulations. In Proceedings of the Power Systems Computation Conference, 2018. https://doi.org/10.23919/PSCC.2018.84429 582 48.
dc.relation.referencesWächter, A.; Biegler, L.T. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear 584 programming. Mathematical Programming 2006, 106, 25–57. https://doi.org/10.1007/s10107-004-0559-y.
dc.relation.referencesMokred, S.; Wang, Y. Voltage stability assessment and contingency ranking in power systems based on modern stability 586 assessment index. Results in Engineering 2024, 23, 102548. https://doi.org/10.1016/j.rineng.2024.102548.
dc.relation.referencesAthay, T. An Overview of Power Flow Analysis. In Proceedings of the 1983 American Control Conference. IEEE, 1983, pp. 588 404–410. https://doi.org/10.23919/acc.1983.4788145
dc.relation.referencesNiu, M.; Wan, C.; Xu, Z. A review on applications of heuristic optimization algorithms for optimal power flow in modern power 590 systems. Journal of Modern Power Systems and Clean Energy 2014, 2, 289–297. https://doi.org/10.1007/S40565-014-0089-4.
dc.relation.referencesSrivastava, L.; Dixit, S.; Agnihotri, G. Optimal Location and Size of TCSC for Voltage Stability Enhancement Using PSO-TVAC. 592 In Proceedings of the Proceedings of the 2014 Power and Energy Systems Conference: Towards Sustainable Energy (PESTSE). 593 IEEE, 2014. https://doi.org/10.1109/PESTSE.2014.6805310.
dc.relation.referencesKulworawanichpong, T. Simplified Newton–Raphson power-flow solution method. International Journal of Electrical Power & 595 Energy Systems 2010, 32, 551–558. https://doi.org/10.1016/j.ijepes.2009.11.011.
dc.relation.referencesMokred, S.;Wang, Y.; Chen, T. A Novel Collapse Prediction Index for Voltage Stability Analysis and Contingency Ranking in 597 Power Systems. Protection and Control of Modern Power Systems 2023, 8, 1–27. https://doi.org/10.1186/s41601-023-00279-w.
dc.relation.referencesZhang, F.; Shen, Z.; Xu, W.; Wang, G.; Yi, B. Optimal Power Flow Algorithm Based on Second-Order Cone Relaxation Method for 599 Electricity-Gas Integrated Energy Microgrid. Complexity 2021, 2021. https://doi.org/10.1155/2021/2073332.
dc.relation.referencesGarces, A. Mathematical Programming for Power Systems Operation with Applications in Python: From Theory to Applications in Python; 601 Wiley, 2021. https://doi.org/10.1002/9781119747291
dc.relation.referencesZimmerman, R.D.; Murillo-Sánchez, C.E.; Thomas, R.J. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for 603 Power Systems Research and Education. IEEE Transactions on Power Systems 2011, 26, 12–19.
dc.relation.referencesAnderson, P.M.; Fouad, A.A.A. Power System Control and Stability, 2nd ed.; IEEE Press / Wiley-Interscience: Piscataway, NJ, 2003.
dc.relation.referencesLiu, Q.; Song, Y.; Jiang, Y.; Xu, Y.; Chen, S. Coordinated voltage control for improved power system voltage stability. Frontiers in 606 Energy Research 2023, 10, 1088563. https://doi.org/10.3389/fenrg.2022.1088563.
dc.rights.accesoAbierto (Texto Completo)
dc.rights.accessrightsOpenAccess
dc.subjectMargen de estabilidad de voltaje
dc.subjectContingencias de transmisión
dc.subjectFactor de cargabilidad
dc.subjectProgramación de cono de segundo orden
dc.subjectNewton-Raphson
dc.subjectSeguridad N-1
dc.subject.keywordVoltage stability margin
dc.subject.keywordTransmission contingencies
dc.subject.keywordLoadability factor
dc.subject.keywordSecondorder cone programming
dc.subject.keywordNewton–Raphson
dc.subject.keywordN − 1 security
dc.subject.lembIngeniería Eléctrica -- Tesis y disertaciones académicasspa
dc.subject.lembSistemas de potencia eléctricaspa
dc.subject.lembEstabilidad de sistemas eléctricosspa
dc.subject.lembAnálisis de contingencias (Ingeniería eléctrica)spa
dc.titleEstimación del margen de estabilidad de tensión en sistemas de potencia ante contingencias en líneas de transmisión mediante una formulación convexa y un enfoque heurístico
dc.title.titleenglishEstimation of the Voltage Stability Margin in Power Systems Under Transmission Line Contingencies Using a Convex Formulation and a Heuristic Approach
dc.typebachelorThesis
dc.type.degreeProducción Académica

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