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Impact of Inertia Emulation Based Modified HVDC Tie-Line for AGC Using Novel Cascaded Fractional Order Controller in Deregulated Hybrid Power System

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Abstract

This article deals with the Automatic Generation Control (AGC) mechanism for an interconnected, deregulated hybrid power system. The physical generation constraints such as boiler dynamics, governor dead band (GDB) and generation rate constraints (GRC) are included for a more realistic approach. The integration of distributed generation (DG) systems is also considered to match with present scenario. The intermittency nature of the DGs ruins the system's inertia and dynamic behaviour. A novel cascaded fractional order controller configuration 2-DOF (FOPIλDN)-PDN is proposed for the AGC mechanism and a new quasi opposition based volleyball premier league (QVPL) algorithm is employed to optimize the controller gains. On the other hand, the inertia emulation strategy (IES) based modified HVDC tie-line is used parallel to the AC tie-line to retrace the power system's inertia. The impact of the proposed controller and IES based modified HVDC tie-line has been analysed by subjecting to several case studies. The effectiveness of the QVPL based proposed controller has also been tested by comparing it with the previously published works on the same platform.

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References

  1. Kundur P (1994) Power system stability and control, 3rd edn. McGraw Hill, New York

    Google Scholar 

  2. Shankar R, Pradhan SR, Chatterjee K, Mandal R (2017) A comprehensive state of the art literature survey on LFC mechanism for power system. Renew Sustain Energy Rev 76:1185–1207. https://doi.org/10.1016/j.rser.2017.02.064

    Article  Google Scholar 

  3. Tan W, Chang S, Zhou R (2017) Load frequency control of power systems with non-linearities. IET Gener Transm Distrib 11:4307–4313. https://doi.org/10.1049/iet-gtd.2017.0599

    Article  Google Scholar 

  4. Parmar KPS, Majhi S, Kothari DP (2012) Load frequency control of a realistic power system with multi-source power generation. Int J Electr Power Energy Syst 42:426–433. https://doi.org/10.1016/j.ijepes.2012.04.040

    Article  Google Scholar 

  5. Hajiakbari Fini M, Hamedani Golshan ME (2019) Frequency control using loads and generators capacity in power systems with a high penetration of renewables. Electr Power Syst Res 166:43–51. https://doi.org/10.1016/j.epsr.2018.09.010

    Article  Google Scholar 

  6. Xu Y, Li C, Wang Z, Zhang N, Peng B (2018) Load Frequency Control of a Novel Renewable Energy Integrated Micro-Grid Containing Pumped Hydropower Energy Storage. IEEE Access 6:29067–29077. https://doi.org/10.1109/ACCESS.2018.2826015

    Article  Google Scholar 

  7. Parmar KPS, Majhi S, Kothari DP (2014) LFC of an interconnected power system with multi-source power generation in deregulated power environment. Int J Electr Power Energy Syst 57:277–286. https://doi.org/10.1016/j.ijepes.2013.11.058

    Article  Google Scholar 

  8. Tasnin W, Saikia LC, Raju M (2018) Deregulated AGC of multi-area system incorporating dish-Stirling solar thermal and geothermal power plants using fractional order cascade controller. Int J Electr Power Energy Syst 101:60–74. https://doi.org/10.1016/j.ijepes.2018.03.015

    Article  Google Scholar 

  9. Shankar R, Chatterjee K, Bhushan R (2016) Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment. Int J Electr Power Energy Syst 79:11–26. https://doi.org/10.1016/j.ijepes.2015.12.029

    Article  Google Scholar 

  10. Pappachen A, Fathima AP (2017) Critical research areas on load frequency control issues in a deregulated power system : A state-of-the-art-of-review. Renew Sustain Energy Rev 72:163–177. https://doi.org/10.1016/j.rser.2017.01.053

    Article  Google Scholar 

  11. Arya Y, Kumar N (2016) AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment. Int J Electr Power Energy Syst 75:127–138. https://doi.org/10.1016/j.ijepes.2015.08.015

    Article  MATH  Google Scholar 

  12. Sharma G, Nasiruddin I, Niazi KR, Bansal RC (2016) Optimal AGC of a multi-area power system with parallel AC/DC tie lines using output vector feedback control strategy. Int J Electr Power Energy Syst 81:22–31. https://doi.org/10.1016/j.ijepes.2016.02.007

    Article  Google Scholar 

  13. Pathak N, Verma A, Bhatti TS, Nasiruddin I (2019) Modeling of HVDC tie links and their utilization in AGC/LFC operations of multiarea power systems. IEEE Trans Ind Electron 66:2185–2197. https://doi.org/10.1109/TIE.2018.2835387

    Article  Google Scholar 

  14. Prakash A, Murali S, Shankar R, Bhushan R (2019) HVDC tie-link modeling for restructured AGC using a novel fractional order cascade controller. Electr Power Syst Res 170:244–258. https://doi.org/10.1016/j.epsr.2019.01.021

    Article  Google Scholar 

  15. Hote YV, Jain S (2018) PID controller design for load frequency control: Past, Present and future challenges. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2018.06.162

    Article  Google Scholar 

  16. Singh J, Chattterjee K, Vishwakarma CB (2018) Two degree of freedom internal model control-PID design for LFC of power systems via logarithmic approximations. ISA Trans 72:185–196. https://doi.org/10.1016/j.isatra.2017.12.002

    Article  Google Scholar 

  17. Delassi A, Arif S, Mokrani L (2018) Load frequency control problem in interconnected power systems using robust fractional PIλD controller. Ain Shams Eng J 9:77–88. https://doi.org/10.1016/j.asej.2015.10.004

    Article  Google Scholar 

  18. Saxena S (2019) Load frequency control strategy via fractional-order controller and reduced-order modeling. Int J Electr Power Energy Syst 104:603–614. https://doi.org/10.1016/j.ijepes.2018.07.005

    Article  Google Scholar 

  19. Balas VE, Ashour AS, Jagatheesan K, Samanta S, Dey N, Anand B (2017) Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm. IEEE/CAA J Autom Sin. https://doi.org/10.1109/jas.2017.7510436

    Article  Google Scholar 

  20. Guha D, Roy PK, Banerjee S (2016) Load frequency control of interconnected power system using grey Wolf optimization. Swarm Evol Comput 27:97–115. https://doi.org/10.1016/j.swevo.2015.10.004

    Article  Google Scholar 

  21. Nanda J, Mishra S, Saikia LC (2009) Maiden application of bacterial foraging-based optimization technique in multiarea automatic generation control. IEEE Trans Power Syst 24:602–609. https://doi.org/10.1109/TPWRS.2009.2016588

    Article  Google Scholar 

  22. Shankar R, Kumar A, Raj U, Chatterjee K (2019) Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment. Int Trans Electr Energy Syst 29:1–25. https://doi.org/10.1002/etep.2690

    Article  Google Scholar 

  23. Sinha N, Saikia LC, Rahman A (2016) 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 10:1654–1662. https://doi.org/10.1049/iet-gtd.2015.0945

    Article  Google Scholar 

  24. Tasnin W, Saikia LC (2017) Maiden application of an sine–cosine algorithm optimised FO cascade controller in automatic generation control of multi-area thermal system incorporating dish-Stirling solar and geothermal power plants. IET Renew Power Gener 12:585–597. https://doi.org/10.1049/iet-rpg.2017.0063

    Article  Google Scholar 

  25. Debbarma S, Dutta A (2017) Utilizing electric vehicles for LFC in restructured power systems using fractional order controller. IEEE Trans Smart Grid 8:2554–2564. https://doi.org/10.1109/TSG.2016.2527821

    Article  Google Scholar 

  26. Sahu RK, Gorripotu TS, Panda S (2016) Automatic generation control of multi-area power systems with diverse energy sources using Teaching Learning Based Optimization algorithm. Eng Sci Technol an Int J 19:113–134. https://doi.org/10.1016/j.jestch.2015.07.011

    Article  Google Scholar 

  27. Nayak JR, Shaw B, Sahu BK (2018) Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system. Eng Sci Technol an Int J 21:465–485. https://doi.org/10.1016/j.jestch.2018.03.010

    Article  Google Scholar 

  28. Jagatheesan K, Anand B, Baskaran K, Dey N, Ashour AS, Balas VE (2018) Effect of nonlinearity and boiler dynamics in automatic generation control of multi-area thermal power system with proportional-integral-derivative and ant colony optimization technique. Stud Syst Decis Control 109:89–110. https://doi.org/10.1007/978-3-319-58996-1_5

    Article  MathSciNet  Google Scholar 

  29. Moghdani R, Salimifard K (2018) Volleyball Premier League Algorithm. Appl Soft Comput J 64:161–185. https://doi.org/10.1016/j.asoc.2017.11.043

    Article  Google Scholar 

  30. Mahdavi S, Rahnamayan S, Deb K (2018) Opposition based learning: A literature review. Swarm Evol Comput 39:1–23. https://doi.org/10.1016/j.swevo.2017.09.010

    Article  Google Scholar 

  31. Gupta S, Deep K (2019) A hybrid self-adaptive sine cosine algorithm with opposition based learning. Expert Syst Appl 119:210–230. https://doi.org/10.1016/j.eswa.2018.10.050

    Article  Google Scholar 

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Correspondence to Sariki Murali.

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Appendix

Appendix

Thermal power plant: Tg = 0.08 s, Kr = 0.5, Tr = 10 s, Tt = 0.3 s, N1 = 0.8, N2 = 0.2/pi. Boiler dynamics: K1; K2; K3 = 0.85, 0.095 and 0.92 respectively, CB = 200, TD; TF = 0 s, 10 s, KIB = 0.030, TIB; TRB = 26 s, 69 s. Hydro power plant: TGH = 0.2 s, TR = 5 s, TRH = 28.75 s, TW = 1 s. Gas power plant: X = 0.6 s, Y = 1.0 s, b = 0.05 s, c = 1, TF = 0.23 s, TCR = 0.01 s, TCD = 0.2 s, RG = 2.4 Hz/pu MW. GTPP: g = 0.05, t = 0.1. Regulation: R = 2.4 Hz/pu. Damping constant: B = 0.545pu/Hz.,Power system: Kps = 120, Tps = 20. WTS: KWTS = 1, TWTS = 1.5 s. SPV: KSPV = 1, TSPV = 1.8 s. DEG: KDEG = 0.003, TDEG = 2 s. FC: KFC = 0.01, TFC = 4 s. AE: KAE = 0.002, TAE = 0.5 s. Tie-line: a12 = -Pr1/Pr2 = -1. IES: H = 4 s, SVSI = 600 MW, N = 2, C = 0.148mF, f = 60 Hz,VDC = 300KV, IDC = 0.5pu, saturation =  ± 15%.

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Murali, S., Shankar, R. Impact of Inertia Emulation Based Modified HVDC Tie-Line for AGC Using Novel Cascaded Fractional Order Controller in Deregulated Hybrid Power System. J. Electr. Eng. Technol. 16, 1219–1239 (2021). https://doi.org/10.1007/s42835-021-00666-z

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