Design of Artifi cial Inteligence-Based Load Frequency Controller for a Two Area Power System with Super Conducting Magnetic Energy Storage Device

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R. Jayashree

Abstract

Superconducting Magnetic Energy Storage (SMES) unit with a self-commutated converter is capable of controlling both active and reactive power simultaneously and quickly; increasing attention has been focused recently on power system stabilization by SMES control. In this study, a self-tuning control scheme for SMES is proposed and applied to Automatic Generation Control (AGC) in power system. The system is assumed to be consisting of two areas. The proposed self-tuning control scheme is used to implement the AGC for Load Frequency Control (LFC) application adding to conventional control confi guration. The effects of the self tuning confi guration with Artifi cial Neural Network (ANN) in AGC on SMES control for the improvement of LFC is compared with that of Conventional Integral controller, PI controller, Fuzzy Proportional Integral Controller (FPIC). The effectiveness of the SMES control technique is investigated when Area Control Error (ACE) is used as the control input to SMES. The computer simulation of the two-area interconnected power system shows that the self-tuning ANN control scheme of AGC is very effective in damping out of the oscillations caused by load disturbances in one or both of the areas and it is also seen that the ANN-controlled SMES performs primary frequency control more effectively compared to Integral controller, PI and FPIC controlled SMES in AGC control.

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How to Cite
Jayashree, R. (2012). Design of Artifi cial Inteligence-Based Load Frequency Controller for a Two Area Power System with Super Conducting Magnetic Energy Storage Device. Power Research - A Journal of CPRI, 135–142. Retrieved from https://cprijournal.in/index.php/pr/article/view/376

References

  1. Demiroren A. “Application of a self-tuning to automatic generation control in power aystem including SMES units”, European Transactions of Electrical Power, Vol. 12, No. 2, pp. 101, 2002.
  2. Nanda J and Kavi B L. “Automatic generation control of interconnected power system”, IEE, Proceedings, Generation, Transmission and Distribution, Vol. 125, No. 5, pp. 385, 1988.
  3. Nanda J, Mangla A and Suri S. “Some new fi ndings on automatic generation control of an interconnected. Hydro thermal System with Controllers”, IEEE, Transactions on Energy Conversion, Vol. 21, No. 1, pp. 187, 2006.
  4. Sivaramaksishana A Y, Hariharan M V, and Srisailam M C. “Design of variable structure load-frequency controller using pole assignment techniques”, International Journal of Control, Vol. 40, No. 3, pp. 437, 1984.
  5. Tripathy S C, Juengst K P. “Sampled data automatic generation control with superconducting magnetic energy storage”, IEEE, Transactions on Energy Conversion, Vol. 12, No. 2, pp. 187, 1997.
  6. Sheikh M R I, Muyeen S M, Rion Takahashi, Toshiaki Murata and Junji Tamura.“Improvement of load frequency control with fuzzy gain scheduled superconducting magnetic energy storage unit”, International Conference of Electrical Machine (ICEM, 08), Paper ID-1026, pp. 1, 2008.
  7. Mairaj Uddin Mufti, Shameem Ahmad Lone, Sheikh Javed Iqbal, Imran Mushtaq. “Improved load frequency control with superconducting magnetic energy storage in interconnected power system”, IEEJ, Transactions on Electrical and Electronic Engineering, Vol. 2, pp. 387, 2007.
  8. Hossain M F, Takahashi T, Rabbani M G, Sheikh M R I and Anower M S. “Fuzzyproportional integral controller for an AGC in a single area power system”, 4th International Conference on Electrical and Computer Engineering (ICECE), pp. 120, 2006.
  9. Anower M S, Rabbani M G, Hossain M F, Sheikh M R I and Rakibul Islam M. “Fuzzy frequency controller for an AGC for the improvement of power system dynamics”, 4th International Conference on Electrical and Computer Engineering (ICECE), pp. 5, 2006.
  10. Ambalal V Patel. “Simplest Fuzzy PI controllers under various defuzzifi cation methods”, International Journal of Computational Cognition, Vol. 3, No. 1, pp. 1, 2005.
  11. Shayeghi H, Shayanfar H A. “Application of ANN technique based on l-synthesis to load frequency control of interconnected power system”, Electrical Power and Energy Systems, Vol. 28, pp. 503, 2006.