179
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Using SVC to Economically Improve Transient Stability in Long Transmission Lines

, &

References

  • B. Vyas, R. P. Maheshwari, and B. Das, “Evaluation of artificial intelligence techniques for fault type identification in advanced series compensated transmission lines,” IETE J. Res., Vol. 60, no. 1, pp. 85–91, Jun. 2014.
  • N. G. Hingorani, L. Gyugyi, and M. El-Hawary, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, Vol. 1. New York: IEEE Press, 2000.
  • R. Pandey, and N. Singh, “UPFC control parameter identification for effective power oscillation damping,” Int. J. Electr. Power Energy Syst., Vol. 31, pp. 269–76, Jul. 2009.
  • H. Besharat, and S. A. Taher, “Congestion management by determining optimal location of TCSC in deregulated power systems,” Int. J. Electr. Power Energy Syst., Vol. 30, pp. 563–8, Dec. 2008.
  • D. Mondal, A. Chakrabarti, and A. Sengupta, “Optimal placement and parameter setting of SVC and TCSC using PSO to mitigate small signal stability problem,” Int. J. Electr. Power Energy Syst., Vol. 42, pp. 334–40, Nov. 2012.
  • B. T. Ooi, M. Kazerani, R. Marceau, Z. Wolanski, F. Galiana, D. McGillis, G. Joos, “Mid-point siting of FACTS devices in transmission lines,” IEEE Trans. Power Deliv., Vol. 12, pp. 1717–22, Oct. 1997.
  • M. Haque, “Optimal location of shunt FACTS devices in long transmission lines,” IEE Proc. Generat. Transm. Distrib., Vol. 147, no. 4, pp. 218–22, Jul. 2000.
  • H. Wang, “Phillips-Heffron model of power systems installed with STATCOM and applications,” IEE Proc. Generat. Transm. Distrib., Vol. 146, no. 5, , pp. 521–7, Sep. 1999.
  • J. M. Ramı́rez, and I. Castillo, “PSS and FDS simultaneous tuning,” Electr. Power Syst. Res., Vol. 68, pp. 33–40, Jan. 2004.
  • S.-K. Wang, J.-P. Chiou, and C.-W. Liu, “Parameters tuning of power system stabilizers using improved ant direction hybrid differential evolution,” Int. J. Electr. Power Energy Syst., Vol. 31, pp. 34–42, Jan. 2009.
  • H. E. Talaat, A. Abdennour, and A. A. Al-Sulaiman, “Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer,” Int. J. Electr. Power Energy Syst., Vol. 32, pp. 751–9, Sep. 2010.
  • M. Ghasemi, M. M. Ghanbarian, S. Ghavidel, S. Rahmani, and E. Mahboubi Moghaddam, “Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study,” Inf. Sci., Vol. 278, pp. 231–49, Sep. 2014.
  • M. Ghasemi, S. Ghavidel, M. M. Ghanbarian, and A. Habibi, “A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables,” Appl. Soft Comput., Vol. 22, pp. 126–40, May 2014.
  • S. K. Wang, J. P. Chiou, and C. W. Liu, “Parameters tuning of power system stabilizers using improved ant direction hybrid differential evolution,” Int. J. Electr. Power Energy Syst., Vol. 31, pp. 34–42, Jan. 2009.
  • H. E. A. Talaat, A. Abdennour, and A. A. Al-Sulaiman, “Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer,” Int. J. Electr. Power Energy Syst., Vol. 32, pp. 751–9, Sep. 2010.
  • W. Ongsakul, and P. Bhasaputra, “Optimal power flow with FACTS devices by hybrid TS/SA approach,” Int. J. Electr. Power Energy Syst., Vol. 24, pp. 851–7, Nov. 2002.
  • M. Ghasemi, S. Ghavidel, S. Rahmani, A. Roosta, and H. Falah, “A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions,” Eng. Appl. Artif. Intell., Vol. 29, pp. 54–69, Mar. 2014.
  • M. Ghasemi, S. Ghavidel, M. M. Ghanbarian, H. R. Massrur, and M. Gharibzadeh, “Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study,” Inf. Sci., Vol. 281, pp. 225–47, Jun. 2014.
  • M. Gitizadeh, and S. Ghavidel, “Improving transient stability with multi-objective allocation and parameter setting of SVC in a multi-machine power system,” IETE J. Res., Vol. 60, no. 1, pp. 33–41, Jun. 2014.
  • R. C. Eberhart, Y. Shi, and J. Kennedy, Swarm Intelligence. San Mateo, CA: Morgan Kaufmann, 2001.
  • L. Wang, and C. Singh, “Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm,” Electr. Power Syst. Res., Vol. 77, pp. 1654–64, Oct. 2007.
  • M. Ghasemi, S. Ghavidel, E. Akbari, and A. Azizi Vahed, “Solving non-linear, non-smooth and non-convex optimal power flow problems using chaotic invasive weed optimization algorithms based on chaos,” Energy, Vol. 73, pp. 340–53, Aug. 2014.
  • K. Chandrasekaran, S. P. Simon, and N. P. Padhy, “Cuckoo search algorithm for emission reliable economic multi-objective dispatch problem,” IETE J. Res., Vol. 60, no. 1, pp. 128–38, Jun. 2014.
  • C. A. C. Coello, G. T. Pulido, and M. S. Lechuga, “Handling multiple objectives with particle swarm optimization,” IEEE Trans. Evol. Comput., Vol. 8, pp. 256–79, Jun. 2004.
  • P. Ngatchou, A. Zarei, and M. El-Sharkawi, “Pareto multi objective optimization,” in Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, Arlington, VA, Nov. 2005, pp. 84–91.
  • S. Mostaghim, and J. Teich, “Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization,” in Congress on Evolutionary Computation, 2004. CEC2004, Portland, OR, Aug. 2004, pp. 1404–11.
  • H. Saadat, Power System Analysis. New Delhi: Tata McGraw-Hill, 2002.
  • J. Kornbluth, “A survey of goal programming,” Omega, Vol. 1, pp. 193–205, 1973.
  • Z. L. Gaing, “A particle swarm optimization approach for optimum design of PID controller in AVR system,” IEEE Trans. Energy Convers., Vol. 19, pp. 384–91, Jun. 2004.
  • P. Kundur, N. J. Balu, and M. G. Lauby, Power System Stability and Control, Vol. 4. New York: McGraw-Hill, 1994.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.