Int J Performability Eng ›› 2021, Vol. 17 ›› Issue (7): 609618.doi: 10.23940/ijpe.21.07.p5.609618
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Claudio M. Rocco^{a}, Kash Barker^{b,*}, and Jose E. RamirezMarquez^{c}
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* Email address: kashbarker@ou.edu
About author:
Claudio M. Rocco is professor in the Engineering Faculty of Universidad Central de Venezuela. His research interests deal with the reliability and performance of power systems. Claudio M. Rocco, Kash Barker, and Jose E. RamirezMarquez. MultiObjective Power Grid Interdiction Model Considering Network Synchronizability [J]. Int J Performability Eng, 2021, 17(7): 609618.
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1. Salmeron, J., Wood, K. and Baldick, R. 2. Salmeron, J., Wood, K. and Baldick, R. 3. Alvarez R.E. 4. Lesieutre, B.C., Pinar, A. and Roy, S.Power system extreme event detection: The vulnerability frontier. In 5. Bienstock, D., Chertkov, M. and Harnett, S.Chanceconstrained optimal power flow: Riskaware network control under uncertainty. 6. Haes Alhelou, H., HamedaniGolshan, M.E., Njenda, T.C. and Siano, P. A survey on power system blackout and cascading events: Research motivations and challenges. 7. Smith, J.C. and Lim, C.Algorithms for network interdiction and fortification games. In 8. Jalili M.Enhancing synchronizability of diffusively coupled dynamical networks: a survey. 9. Li H.J., Bu Z., Wang Z., Cao J. and Shi Y.Enhance the performance of network computation by a tunable weighting strategy. 10. Yang, L.X., Jiang, J. and Liu, X.J.Influence of community structure on the synchronization of power network. 11. Kuramoto Y. 12. Filatrella, G., Nielsen, A.H. and Pedersen, N.F.Analysis of a power grid using a Kuramotolike model. 13. Chavez M., Hwang D.U., Amann A., Hentschel H.G.E. and Boccaletti, S.Synchronization is enhanced in weighted complex networks. 14. Deb K., Pratap A., Agarwal S. and Meyarivan T.A.M.T. A fast and elitist multiobjective genetic algorithm: NSGAII. 15. Coello C.C.Evolutionary multiobjective optimization: a historical view of the field. 16. Sun R., Liu Y., Zhu H., AzizipanahAbarghooee, R.and Terzija, V. A network reconfiguration approach for power system restoration based on preferencebased multiobjective optimization. 17. Taleizadeh, A.A., Khaligh, P.P. and Moon, I.Hybrid NSGAII for an imperfect production system considering product quality and returns under two warranty policies. 18. Ramesh, S., Kannan, S. and Baskar, S.Application of modified NSGAII algorithm to multiobjective reactive power planning. 19. Murugan, P., Kannan, S. and Baskar, S.NSGAII algorithm for multiobjective generation expansion planning problem. 20. Pecora, L.M. and Carroll, T.L.Master stability functions for synchronized coupled systems. 21. Al Khafaf, N. and Jalili, M. Optimization of synchronizability in complex spatial networks. 22. Jalili, M. and Yu, X., 2016. Enhancement of synchronizability in networks with community structure through adding efficient intercommunity links. 23. Zhou, C. and Kurths, J.Dynamical weights and enhanced synchronization in adaptive complex networks. 24. Dekker H.C2 and the Kuramoto Model: An Epistemological Retrospective. In 25. Arenas A.,DíazGuilera, A., Kurths, J., Moreno, Y. and Zhou, C. Synchronization in complex networks. 26. Grzybowski J.M.V., Macau, E.E.N. and Yoneyama, T. On synchronization in powergrids modelled as networks of secondorder Kuramoto oscillators. 27. Slowik, A. and Kwasnicka, H.Evolutionary algorithms and their applications to engineering problems. 28. Seck G.S., Krakowski V., Assoumou E., Maïzi N. and Mazauric, V. Embedding power system's reliability within a longterm Energy System Optimization Model: Linking high renewable energy integration and future grid stability for France by2050. 29. Kremers, E., Marı, J. and Barambones, O.Emergent synchronisation properties of a refrigerator demand side management system. 30. Maïzi N., Mazauric V., Assoumou E., Bouckaert S., Krakowski V., Li X. and Wang, P. Maximizing intermittency in 100% renewable and reliable power systems: A holistic approach applied to Reunion Island in2030. 31. Armbruster A.,McMillin, B. and Crow, M.L. Controlling power flow using FACTS devices and the maxflow algorithm. In 32. Armbruster A., Gosnell M., McMillin, B. and Crow, M. The maximum flow algorithm applied to the placement and distributed steadystate control of UPFCs. In 33. Trautmann, H., Steuer, D., andMersmann, O. mco package under R. 34. Yajure C., Montilla D., RamirezMarquez, J.E. and Rocco S, C.M. Network vulnerability assessment via biobjective optimization with a fragmentation approach as proxy. 35. Rocco C.M.,K. Barker, and J. Moronta. A Triobjective Model for Assessing the Synchronizability of an Energy System.Reliability Engineering and System Safety, 2020. 36. Bringmann, K. and Friedrich, T.Approximation quality of the hypervolume indicator. 37. Soetaert, K., Petzoldt, T. and Setzer, R.W.Solving differential equations in R: package deSolve. 38. Fortuna L., Frasca M., andFiore A.S.Analysis of the Italian Power Grid Based on Kuramotolike Model. 39. Subcommittee P.M.IEEE reliability test system. 40. Grigg C., Wong P., Albrecht P., Allan R., Bhavaraju M., Billinton R., Chen Q., Fong C., Haddad S., Kuruganty S. and Li W.The IEEE reliability test system1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee. 
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