access icon free Load frequency control of a hydro-thermal system under deregulated environment using biogeography-based optimised three-degree-of-freedom integral-derivative controller

This study presents the load frequency control of an interconnected two-area power system under deregulated environment with area1 as a thermal system having two generating companies and area2 as hydro-thermal system. Appropriate generation rate constraint, and governor dead band are provided in the areas. Three-degree-of-freedom integral-derivative (3DOF-ID) controllers are used as secondary controllers in the areas whose performance is compared with that of two-degree-of-freedom integral-derivative (2DOF-ID) and single-degree-of-freedom controllers such as integral (I), integral-derivative (ID). Biogeography-based optimisation (BBO) technique is used for simultaneous optimisation of controller gains and electric governor parameters. Analysis of the dynamic responses reveal the superiority of 3DOF-ID controller over I, ID, and 2DOF-ID controllers, in terms of settling time, peak deviation and magnitude of oscillation. Sensitivity analysis proved that, BBO optimised parameters obtained at nominal conditions are robust. 3DOF-ID controller parameters obtained at nominal distribution companies participation matrix (DPM) are healthy enough and not necessary to optimise for change in DPMs. Variation in frequency bias coefficient (B) concludes that the best selection for B is equal to area frequency response characteristics. Similarly, selection of governor speed regulation parameter (R) infers higher value for thermal-system, while hydro-system should be kept comparatively low.

Inspec keywords: load regulation; velocity control; optimisation; frequency control; power system interconnection; electricity supply industry deregulation; hydrothermal power systems; matrix algebra; dynamic response

Other keywords: governor speed regulation parameter selection; area frequency response characteristics; hydro-thermal system; deregulated environment; electric governor parameters; load frequency control; DPM; generation rate constraint; BBO technique; dynamic response analysis; nominal distribution companies participation matrix; 3DOF-ID controllers; controller gains; interconnected two-area power system; three-degree-of-freedom integral-derivative controller; biogeography-based optimisation technique; frequency bias coefficient variation; governor dead band

Subjects: Optimisation techniques; Algebra; Frequency control; Algebra; Thermal power stations and plants; Control system analysis and synthesis methods; Power system management, operation and economics; Optimisation techniques; Hydroelectric power stations and plants; Velocity, acceleration and rotation control; Control of electric power systems

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 16. Kim, D.H.: ‘Design and tuning approach of 3-DOF Emotion Intelligent PID (3-DOF-EI-PID) controller’. Sixth UKSim/AMSS European Modelling Symp. on Computer Modelling and Simulation, Korea, 2012, pp. 7477.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
      • 10. Parida, M., Nanda, J.: ‘Automatic generation control of a hydro-thermal system in deregulated environment’. Eighth Int. Conf. on Electrical Machines and Systems, Nanjing, September 2005, pp. 942947.
    11. 11)
    12. 12)
    13. 13)
      • 2. Bevrani, H., Hiyama, T.: ‘Intelligent automatic generation control’ (CRC Press, Taylor and Francis, 2011).
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
      • 17. Johnson, M.A., Mohammad, H.M.: ‘PID Control: new identification and design methods’ (Springer, 2005).
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