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Performance Analysis of a Coordinated PID- and UPFC-Based Stabilizer for Stability Improvement

  • Ravi Prakash MahobiaEmail author
  • Shimpy Ralhan
  • Mahesh Singh
  • Ritu Sharma
Conference paper
  • 17 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1089)

Abstract

In this paper, proportional–integral–derivative controller variables are tuned by the two algorithms, namely genetic algorithm and ant colony optimization, which are used to design the proposed power system having UPFC. These optimization algorithms are well-known and mostly used in finding the variables of PID controller. The computational methods improve the parameters of the proposed system, and attributes that are obtained are also stable in nature. System which has been scheduled with the GA-PID and ACO-PID controller has been modeled by application of MATLAB. The performance of ACO-PID is better than GA-PID, establishes the fact that ACO-PID system achieves faster response.

Keywords

Genetic algorithm Ant colony optimization Proportional–integral–derivative Unified power flow controller 

References

  1. 1.
    Kamdar, R., Kumar, M., Agnihotri, G.: Transient stability analysis and enhancement of IEEE-9 bus system. Electr. Comput. Eng. Int. J. (ECIJ) 3 (2014)Google Scholar
  2. 2.
    Mo, H., Yin, Y.: Research on PID tuning of servo system based on bacterial foraging algorithm. In: Seventh International Conference on Natural Computation, vol. 3, pp. 1758–1762 (2011)Google Scholar
  3. 3.
    Fan, X., Cao, J., Yang, H., Dong, X., Liu, C., Gong, Z., Wu, Q.: Optimization of PID parameters based on PSO. In: International Conference on Information Science and Cloud Computing Companion, pp. 393–397 (2013)Google Scholar
  4. 4.
    Jalilvand, A., Vahedi, H., Bayat, A.: Optimal tuning of PID controller for buck converter using BFO. In: International Conference on Intelligent and Advanced Systems, pp. 1–5 (2010)Google Scholar
  5. 5.
    Lakshmi, K., Sriniwas, V.: Optimal tuning of PID controller using PSO. In: International Conference on Electrical, Electronics, Signal, Communication and Optimization (EESCO), pp. 1–5 (2015)Google Scholar
  6. 6.
    Gyqyi, L., Rietman, T.R., Edris, A., Schaudar, C.D., Williams, S.L.: The unified power flow controller: a new approach to power transmission control. IEEE Trans. Power Deliv. 10(2), 1085–1097 (1995)CrossRefGoogle Scholar
  7. 7.
    Makombe, T., Jenkins, N.: Investigation of a unified power flow controller. In: IEE Proceedings-Generation Transmission and Distribution (1999)Google Scholar
  8. 8.
    Padiyar, K.R., Kulkarni, A.M.: Control design and simulation of unified power flow controller. IEEE Trans. Power Deliv. 13, 1348–1354 (1998)CrossRefGoogle Scholar
  9. 9.
    Amara, S., Hsan, H.A.: Power system stability improvement by FACTS devices: a comparison between STATCOM, SSSC and UPFC. In: International Conference on Renewable Energies and Vehicular Technology. IEEE (2012)Google Scholar
  10. 10.
    Singh, M., Patel, R.N., Jhapte, R.: Performance comparison of optimized controller tuning techniques for voltage stability. In: IEEE First International Conference on Control, Measurement and Instrumentation (CMI), pp. 11–15. IEEE (2016)Google Scholar
  11. 11.
    Booker, L.B., Goldberg, D.E., Holland, J.H.: Classifier systems and genetic algorithms. Computer Science and Engineering, 3116 EECS Building, The University of Michigan, Ann Arbor, MI 48109, U.S.A.Google Scholar
  12. 12.
    Blum, C.: Ant colony optimization: introduction and recent trends. Phys. Life Rev. 2, 353–373 (2005)CrossRefGoogle Scholar
  13. 13.
    Jaiswal, U., Aggarwal, S.: Ant colony optimization. Int. J. Sci. Eng. Res. 2(7) (2011)Google Scholar
  14. 14.
    Singh, M., Patel, R.N., Neema, D.D.: Robust tuning of excitation controller for stability enhancement using multi-objective metaheuristic Firefly algorithm. Swarm Evol. Comput. 44, 136–147 (2018). (Elsevier)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ravi Prakash Mahobia
    • 1
    Email author
  • Shimpy Ralhan
    • 1
  • Mahesh Singh
    • 1
  • Ritu Sharma
    • 1
  1. 1.Department of EEESSGI-SSTCBhilaiIndia

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