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Review Article

Multi-objective Mathematical Programming to Simultaneously Control SCUC and OUPFC to Improve Power System Controllability

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References

  • A. Lashkar Ara, A. Kazemi, and S. A. Nabavi Niaki, “Modelling of optimal unified power flow controller (OUPFC) for optimal steady-state performance of power systems,” Energy Convers. Manage., Vol. 52, no. 2, pp. 1325–33, 2011.
  • A. Lashkar Ara, A. Kazemi, and S. A. Nabavi Niaki, “Multiobjective optimal location of FACTS shunt-series controllers for power system operation planning,” IEEE Trans. Power Delivery, Vol. 27, no. 2, pp. 481–90, April 2012.
  • A. Drud, “CONOPT: A GRG coed for large sparse dynamic nonlinear optimization problems,” Development Research Department, Mathematical Programming. Washington, DC: Springer, 1985, pp. 153–91 .
  • B. Saravanan, S. Sikri, K. S. Swarup, and D. P. Kothari, “Unit commitment using dynamic programming-an exhaustive working of both classical and stochastic approach,” Front. Energy, Vol. 7, no. 3, pp. 331–41, 2013.
  • B. Saravanan, S. Mishra, and D. Nag, “A solution to stochastic unit commitment problem for a wind-thermal system coordination,” Front. Energy, Vol. 8, no. 2, pp. 192–200, 2014.
  • B. Saravanan, S. Das, S. Sikri, and D. P. Kothari, “A solution to the unit commitment problem—a review,” Front. Energy, Vol. 7, no. 2, pp. 223–36, 2013.
  • M. A. Abido, “Optimal power flow using particle swarm optimization,” Electr. Power Energy Syst., Vol. 24, no. 7, pp. 563–71, 2002.
  • N. Laothumyingyong, and P. Damrongkulkamjorn, “Security-constrained unit commitment using mixed-integer programming with benders decomposition,” in The 2010 ECTI International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Chiang Mai, 2010, pp. 626–30.
  • J. Alemany, and F. Magnago, “Benders decomposition applied to security constrained unit commitment: initialization of the algorithm,” Int. J. Electr. Power Energy Syst., Vol. 66, pp. 53–66, 2015.
  • M. Furukakoi, O. B. Adewuyi, H. Matayoshi, A. B. Howlader, and T. Senjyu, “Multi objective unit commitment with voltage stability and PV uncertainty,” Appl. Energy, Vol. 228, pp. 618–23, 2018.
  • G. E. Alvarez, M. G. Marcovecchio, and P. A. Aguirre, “Security-constrained unit commitment problem including thermal and pumped storage units: an MILP formulation by the application of linear approximations techniques,” Electr. Power Syst. Res., Vol. 154, pp. 67–74, 2018.
  • A. A. Salimi, A. Karimi, and Y. Noorizadeh, “Simultaneous operation of wind and pumped storage hydropower plants in a linearized security-constrained unit commitment model for high wind energy penetration,” J. Energy Storage, Vol. 22, pp. 318–30, 2019.
  • J. D. Lyon, M. Zhang, and K. W. Hedman, “Capacity response sets for security-constrained unit commitment with wind uncertainty,” Electr. Power Syst. Res., Vol. 136, pp. 21–30, 2016.
  • D. A. Tejada-Arango, P. Sánchez-Martın, and A. Ramos, “Security constrained unit commitment using line Outage Distribution factors,” IEEE Trans. Power Syst., Vol. 33, no. 1, pp. 329–37, 2018.
  • Y. Nan, Y. Di, Z. Zheng, C. Jiazhan, C. Daojun, and W. Xiaoming, “Research on modelling and solution of stochastic SCUC under AC power flow constraints,” IET. Gener. Transm. Distrib., Vol. 12, no. 15, pp. 3618–25, 2018.
  • S. Jiang, S. Gao, G. Pan, X. Zhao, Y. Liu, Y. Guo, and S. Wang, “A novel robust security constrained unit commitment model considering HVDC regulation,” Appl. Energy, Vol. 278, pp. 115–26, 2020.
  • Y. Chen, and F. Wang, “MIP formulation improvement for large scale security constrained unit commitment with configuration based combined cycle modeling,” Electr. Power Syst. Res., Vol. 148, pp. 147–54, 2017.
  • Z. Luburić, and H. Pandžić, “FACTS devices and energy storage in unit commitment,” Int. J. Electr. Power Energy Syst., Vol. 104, pp. 311–25, 2019.
  • M. Ghaljehei, A. Ahmadian, M. Aliakbar Golkar, T. Amraee, and A. Elkamel, “Stochastic SCUC considering compressed air energy storage and wind power generation: a techno-economic approach with static voltage stability analysis,” Int. J. Electr. Power Energy Syst., Vol. 100, pp. 489–507, 2018.
  • J. Aghaei, A. Nikoobakht, P. Siano, M. Nayeripour, A. Heidari, and M. Mardaneh, “Exploring the reliability effects on the short term AC security-constrained unit commitment: A stochastic evaluation,” Energy, Vol. 114, pp. 1016–32, 2016.
  • M. R. Norouzi, A. Ahmadi, A. E. Nezhad, and A. Ghaedi, “Mixed integer programming of multi-objective security-constrained hydro/thermal unit commitment,” Renewable Sustainable Energy Rev., Vol. 29, pp. 911–23, 2014.
  • S. Sreejith, S. P. Simon, and M. P. Selvan, “Analysis of FACTS devices on security constrained unit commitment problem,” Int. J. Electr. Power Energy Syst., Vol. 66, pp. 280–93, 2015.
  • A. Nawaz, H. Wang, Q. Wu, and M. Kumar Ochani, “TSO and DSO with large-scale distributed energy resources: A security constrained unit commitment coordinated solution,” Int Trans Electr Energ Syst, Vol. 30, pp. e12233, 2020. DOI:10.1002/2050-7038.12233.
  • F. H. Aghdam, and M. T. Hagh, “Security constrained unit commitment (SCUC) formulation and its solving with modified imperialist competitive algorithm (MICA),” J. King Saud Univ. Eng. Sci., Vol. 31, no. 3, pp. 253–61, 2019.
  • A. Lashkar Ara, A. H. Rahmani, E. Parham, and M. Behshad, “Multi-objective dynamic optimal power flow through the ϵ-constraint method with non-smooth and non-convex fuel cost functions,” Energy Educ. Sci. Technol. Part A: Energy Sci. Res., Vol. 29, no. 2, pp. 1003–14, 2012.
  • A. Lashkar Ara, A. Kazemi, and M. Behshad, “Improving power systems operation through multiobjective optimal location of optimal uni_ed power ow controller,” Turkish J. Electr. Eng. Comput.Sci., Vol. 21, pp. 1893–908, 2013.
  • I. Musirin, and T. K. Abdul Rahman, “Novel fast voltage stability index (FVSI) for voltage stability analysis in power transmission system,” in Student Conference on Research and Development, Shah Alam, Malaysia, 2002, pp. 265–8. doi:10.1109/SCORED.2002.1033108.
  • N. Z. Mohd Ali, I. Musirin, and H. Mohamad, “Fast voltage stability index (FVSI) based technique for congestion management assessment,” Appl.Mech. Mater., Vol. 793, pp. 49–53, 2015.
  • A. Soroudi. Power System Optimization Modeling in GAMS. Vol. 78. Switzerland: Springer, 2017.
  • Power Systems Test Case, The University of Washington Archive Available from: http://www.ee.washington.edu/research/pstca/, [Accessed 21/3/2019].

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