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Incorporation of Distributed Generation Resources for Three-Area Load Frequency Control Optimized Tilted Integral Derivative Controller

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Advances in Smart Grid and Renewable Energy (ETAEERE 2020, ETAEERE 2020)

Abstract

This document presents the execution of distributed generation (DG) resources in case of load frequency control (LFC) for three-area multi-source power systems. The DG system by way of a well-coordinated control can significantly progress the stability of the system frequency. Tilted integral derivative (TID) controller is projected here for controlling the objective function. Dynamics values are compared between the differential evolution particle swarm optimization (DEPSO) and teaching-learning-based optimization (TLBO) techniques using TID controller using MATLAB/SIMULINK through numerous simulations. TLBO based three-area system outperforms the DEPSO base system. The system dynamics are enhanced by using DC link to this existing alternating current tie line.

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References

  1. O.I. Elgerd, C.E. Fosha, Optimum megawatt—frequency control of multiarea electric energy systems. IEEE Trans. Power Appar. Syst. PAS-89(4), 556–563 (1970)

    Google Scholar 

  2. A. Rahman, L.C. Saikia, N. Sinha, Automatic generation control of an unequal four-area thermal system using biogeography-based optimised 3DOF-PID controller. IET Gener. Transm. Distrib. 10(16), 4118–4129 (2016)

    Article  Google Scholar 

  3. R.K. Sahu, S. Panda, S. Padhan, A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Electr. Power Energy Syst. 64, 9–23 (2015)

    Article  Google Scholar 

  4. B. Mohanty, S. Panda, P.K. Hota, Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multisource power system. Int. J. Electr. Power Energy Syst. 54, 77–85 (2014)

    Google Scholar 

  5. S. Debbarma, A. Dutta, Utilizing electric vehicles for LFC in restructured power systems using fractional order controller. IEEE Trans. Smart Grid 8(6), 2554–2564 (2017)

    Article  Google Scholar 

  6. M. Raju, L.C. Saikia, N. Sinha, Load frequency control of multi-area hybrid power system using symbiotic organisms search optimized two degree of freedom controller. Renew. Energy Res. 7(4), 1663–1674 (2017)

    Google Scholar 

  7. S.K. Pandey, S.R. Mohanty, N. Kishor et al., Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. Electr. Power Energy Syst. 63, 887–900 (2014)

    Article  Google Scholar 

  8. A. Rahman, L.C. Saikia, N. Sinha, Maiden application of hybrid pattern search biogeography based optimisation technique in automatic generation control of a multi-area system incorporating interline power flow controller. IET Gener. Transm. Distrib. 10(7), 1654–1662 (2016)

    Article  Google Scholar 

  9. Y. Arya, N. Kumar, Ibraheem, AGC of a two-area multi-source power system interconnected via AC/DC parallel links under restructured power environment. Optim. Control Appl. Methods 37, 590–607 (2016)

    Google Scholar 

  10. J. Morsali, K. Zare, M.T. Hagh, MGSO optimised TID-based GCSC damping controller in coordination with AGC for diverse-GENCOs multi- DISCOs power system with considering GDB and GRC non-linearity effects. IET Gener. Transm. Distrib. 11(1), 193–208 (2017)

    Article  Google Scholar 

  11. R.K. Sahu, S. Panda, A. Biswal, G.T.C. Sekhar, Design and analysis of tilt integral derivative controller with filter for load frequency control of multi-area interconnected power systems. ISA Trans. 61, 251–264 (2016)

    Article  Google Scholar 

  12. E.S. Ali, S.M. Abd-Elazim, Bacteria foraging optimization algorithm based load-frequency controller for interconnected power system. Int. J. Electr. Power Energy Syst. 33, 633–638 (2011)

    Google Scholar 

  13. Y. Sharma, L.C. Saikia, Automatic generation control of a multi-area ST—thermal power system using Grey Wolf optimizer algorithm based classical controllers. Electr. Power Energy Syst. 73, 853–862 (2015)

    Article  Google Scholar 

  14. K.T. Mohapatra, B.K. Sahu, Design and implementation of SSA based fractional order PID controller for automatic generation control of a multi-area, multi-source interconnected power system, in IEEE Conference ICSESP. https://doi.org/10.1109/ICSESP. 2018.8376697 (2018)

  15. B.K. Sahu, et al., Teaching–learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system. Appl. Soft Comput. 27, 240–249 (2015)

    Google Scholar 

  16. M. Raju, L.C. Saikia, N. Sinha, Load frequency control of a multi-area system incorporating distributed generation resources, gate controlled series capacitor along with high-voltage direct current link using hybrid ALO-pattern search optimised fractional order controller. IET Renew. Power Gener. 13(2), 330–341 (2019)

    Google Scholar 

  17. P. Kundur, Power System Stability and Control, 2nd edn. (McGraw Hill, New York, 1994)

    Google Scholar 

  18. I. Hussain, S. Ranjan, D.C. Das et al., Performance analysis of flower pollination algorithm optimized PID controller for wind-PV-SMES-BESSdiesel autonomous hybrid power system. Renew. Energy Res. 7(2), 643–651 (2017)

    Google Scholar 

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Correspondence to Sunita Pahadasingh .

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Appendix

Appendix

Subscript referred to area (\(i\)) = 1, 2 and 3.

Nominal system frequency f = 60 Hz; Steam turbine time constant (\(T_{{{\text{ti}}}}\)) = 0.3 s; reheater time constant and gain (\(T_{{{\text{ri}}}}\)) and (\(K_{{{\text{ri}}}}\)) = 10 s and 0.5; generator gain (\(K_{{{\text{pi}}}}\)) = 120 Hz/pu MW; time constant (\(T_{{{\text{pi}}}}\)) = 20 s; Tie-line interchange (\(T_{{{\text{ij}}}}\) MW/rad) = 0.086 pu; inertia constant (\(H_{i}\)) = 5 s;

Speed regulation parameter (\(R_{i}\)) = 2.4 pu Hz/MW; bias coefficient (\(B_{i}\)) = 0.425 pu MW/Hz;

Gain of Wind turbine generator (\(K_{{{\text{WTG}}}}\)); AE (\(K_{{{\text{AE}}}}\));

FC (\(K_{{{\text{FC}}}}\)); DEG (\(K_{{{\text{DEG}}}}\)) and BESS (\(K_{{{\text{BESS}}}}\)) are = 1; 0.002; 0.01; 0.0003 and −0.0003 respectively.

Time constant of wind turbine generator (\(T_{{{\text{WTG}}}}\)); AE (\(T_{{{\text{AE}}}} )\)); FC (\(T_{{{\text{FC}}}}\)); DEG (\(T_{{{\text{DEG}}}}\)); BESS (\(K_{{{\text{BESS}}}}\)) are 1.5 s, s; 0.5 s; 4 s; 2.0 s and 0.1 s respectively.

Starting time of hydro (\(T_{{\text{w}}}\)) = 1 s; HVDC link gain and time constant of HVDC (\(K_{{\text{hvdc }}} \;{\text{and}}\;T_{{{\text{hvdc}}}}\)) are 1.1 and 0.2 s; Gains of electric governor \(K_{p} ,K_{i}\),\( K_{d}\) = are 1.5 and 4.

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Pahadasingh, S., Jena, C., Panigrahi, C.K. (2021). Incorporation of Distributed Generation Resources for Three-Area Load Frequency Control Optimized Tilted Integral Derivative Controller. In: Sherpa, K.S., Bhoi, A.K., Kalam, A., Mishra, M.K. (eds) Advances in Smart Grid and Renewable Energy. ETAEERE ETAEERE 2020 2020. Lecture Notes in Electrical Engineering, vol 691. Springer, Singapore. https://doi.org/10.1007/978-981-15-7511-2_6

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  • DOI: https://doi.org/10.1007/978-981-15-7511-2_6

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