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Squirrel Search Algorithm (SSA)-Driven Optimal PID-FOI Controller for Load Frequency Control of Two-Area Multi-Source Power System

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Smart Technologies for Power and Green Energy

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 443))

Abstract

This work presents the control concept for dealing with the load frequency control problem of hybrid multi-source power system under different system operating conditions. For diversity, different energy sources are considered in both areas. In area 1, the thermal power plant is used along with hydro and wind power plants. Similarly in area 2, diesel-based plant is considered along with hydro and thermal power plants. Because of the superior convergence characteristic, tuning of different controller’s parameters is optimally tuned with the newly developed Squirrel Search Algorithm (SSA). Proportional Integral Derivative (PID) controller and proposed PID-Fractional Order Integral (PID-FOI) controller are used for minimizing Area Control Error (ACE) along with frequency variation and tie-line power deviation. Parameters of both the controllers have been optimally tuned with the SSA optimization technique. Integral Time multiplied by Absolute Error (ITAE) performance index is used as the objective function for tuning the controller’s parameters with the SSA optimization technique. The performance of both the controllers tuned with the SSA technique is compared at various system operating conditions. Finally, the effectiveness of the proposed SSA-driven PID-FOI controller has been evidenced at different operational shifts in the system.

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Author information

Authors and Affiliations

  1. School of EE, KIIT Deemed to Be University, Bhubaneswar, India

    Geetanjali Dei & Deepak Kumar Gupta

  2. SOA Deemed to Be University, Bhubaneswar, India

    Binod Kumar Sahu

Authors
  1. Geetanjali Dei
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  2. Deepak Kumar Gupta
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  3. Binod Kumar Sahu
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Corresponding author

Correspondence to Geetanjali Dei .

Editor information

Editors and Affiliations

  1. School of Electrical Engineering, KIIT University, Bhubaneswar, India

    Rudra Narayan Dash

  2. Concordia University, Montreal, QC, Canada

    Akshay Kumar Rathore

  3. Khalifa University, Abu Dhabi, United Arab Emirates

    Vinod Khadkikar

  4. School of Electrical Engineering, KIIT University, Bhubaneswar, India

    Ranjeeta Patel

  5. Department of Electrical and Electronics Engineering, ITER, Siksha ‘O’ Anusandhan, Bhubaneswar, India

    Manoj Debnath

7. APPENDIX

7. APPENDIX

Typical values for the system parameters are as follows:

PR = 2000 MW (rating); Frequency (f) = 50 Hz; B1 = 0.4312 pu MW/Hz; B2 = 0.4312 pu MW/Hz; PL = 1840 MW; Tt = 0.3 s; Kr = 0.3; Tr = 10 s; Tsg = 0.08; KT = 0.543478; R1 = R2 = R3 = 2.4 Hz/pu MW; Trh = 28.75 s; Tgh = 0.2 s; KG = 0.130438; KH = 0.326084; Yc = 1 s; Xc = 0.6 s; cg = 1; bg = 0.5; TW = 1 s; Trs = 5 s; Tps = 11.49 s; Tcd = 0.2 s; Tfc = 0.23 s; Tcr = 0.01 s; Kps = 68.9566 Hz/pu MW; T12 = 0.0433 pu; a12 = −1.

Squirrel Search Algorithm: No. of Iterations: 50, No. of particles: 30.

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Dei, G., Gupta, D.K., Sahu, B.K. (2023). Squirrel Search Algorithm (SSA)-Driven Optimal PID-FOI Controller for Load Frequency Control of Two-Area Multi-Source Power System. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_25

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  • DOI: https://doi.org/10.1007/978-981-19-2764-5_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2763-8

  • Online ISBN: 978-981-19-2764-5

  • eBook Packages: EngineeringEngineering (R0)

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