Design of Power System Stabilizer using Flower Pollination Algorithm

  • Authors

    • S. Venkateswarlu
    • Janaki M
    • Thirumalaivasan R
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.20831
  • Power System Stabilizer (PSS), Low Frequency Oscillations (LFOs), Flower Pollination Algorithm (FPA).

  • The Power System Stabilizer (PSS) is a controller which is used to mitigate the instability of Low Frequency Oscillations (LFOs) in power systems. The condition of oscillatory instability can also cause the loss of generator synchronism. It is observed that the damping provided by PSS depends on the proper selection of its parameters. This paper presents the systematic method for the selection of PSS parameters using evolutionary nature inspired optimization technique called Flower Pollination Algorithm (FPA). FPA is employed for selecting the optimal parameters of PSS so as to mitigate the low frequency oscillations of generator rotor and thereby oscillatory instability. The system consists of Single Machine with PSS which is connected to Infinite Bus (SMIB) through a transmission line. The transient simulation validates the performance of the system with optimized PSS. The results show that PSS with FPA optimized parameters provides fast and stable response.

     

     

  • References

    1. [1] K. R. Padiyar, “Analysis of Subsynchronous Resonance in power systemsâ€, Boston: Kluwer Academic Publications, (1999).

      [2] K. R. Padiyar, “Power System Dynamics-Stability and Controlâ€, Second Edition, Hyderabad, India: B.S.Publications, (2000).

      [3] P. K. Arun Kumar, S. Vivekanandan, C. Krishna Kumar and V. Kumar Chinnaiyan, “Neural Network Tuned Fuzzy Logic Power System Stabilizer Design for SMIBâ€, in Proc International Conference on Contemporary Computing and Informatics (IC3I), (2016), pp. 446-451.

      [4] N. Hosseinzadeh and A. Kalam, “A Rule-Based Fuzzy Power System Stabilizer Tuned by a Neural Networkâ€, IEEE Trans. on Ener. Conv., vol. 14, no. 3, (1999), pp. 773-776.

      [5] N. Hosseinzadeh and A. Kalam, “A Neuro-Fuzzy Power System Stabilizerâ€, in Proc. International Conference on Industrial Electronics, Control, and Instrumentation (IECON), vol. 1, (1996), pp. 608-613.

      [6] K. Sambariya and R. Gupta, “Effective PID-PSS Design using Bat Algorithm for SMIB Power Systemâ€, in Proc. International Conference on Power Systems (ICPS), (2016), pp. 1-6.

      [7] S. Paul and P. K. Roy, “Optimal Design of Power System Stabilizer using Oppositional Gravitational Search Algorithmâ€, in Proc. International Conference on Non Conventional Energy (ICONCE), (2014), pp. 282-287.

      [8] P. R. Gandhi and S. K. Joshi, “Design of PID Power System Stabilizer using GA for SMIB System: Linear and Non-Linear Approachâ€, in Proc. International Conference on Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), (2011), pp. 319-323.

      [9] Pothula Jagadeesh and M Sai Veerraju, “Particle Swarm Optimization based Power System Stabilizer for SMIB Systemâ€, in Proc. International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS), (2016), pp. 1-6.

      [10] K. Abdul hameed and S Palani, “Robust Design of Power System Stabilizer using Bacterial Foraging Algorithmâ€, Archives of Electrical Engineering, vol. 62(1), (2013), pp. 141-152.

      [11] Akash Saxena, Bhanu Pratap Soni and Vikas Gupta, “Minimax Approximation Synthesis in PSS Design by Embedding Gravitational Search Algorithmâ€, in Proc. International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), (2014), pp. 929-934.

      [12] J. Prasanth Ram, Babu T S and N. Rajasekar, “ FPA based approach for solar maximum power point trackingâ€, in Proc. International Conference in Power Systems, (2016), pp. 1-6.

      [13] J. Prasanth Ram and N. Rajasekar, “A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Trackingâ€, IEEE Trans. on Power Electronics, vol. 32, No. 11, (2017), pp. 8486-8499.

      [14] Yang, Xin-She, “Nature-Inspired Optimization Algorithmsâ€, Elsevier, (2014).

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  • How to Cite

    Venkateswarlu, S., M, J., & R, T. (2018). Design of Power System Stabilizer using Flower Pollination Algorithm. International Journal of Engineering & Technology, 7(4.10), 177-181. https://doi.org/10.14419/ijet.v7i4.10.20831