Skip to main content

Advertisement

SpringerLink
Log in

Quasi-oppositional Backtracking Search Algorithm to Solve Load Frequency Control Problem of Interconnected Power System

  • Research Paper
  • Published:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

This study addresses a powerful optimization technique with the notion of quasi-oppositional-based learning, namely quasi-oppositional backtracking search algorithm (QOBSA), for load frequency control (LFC) of power system. Two widely used power systems have been selected to establish the efficiency of QOBSA. Supplementary controllers in LFC are designed by taking frequency and tie-line power deviations of each area as an input, and QOBSA is applied for simultaneous optimization of the controller gains. Integral error-based performance criterions are formulated to claim the tuning optimality of QOBSA. Comparisons are also made with the existing results to establish the superiority of QOBSA in terms of convergence mobility and time response measurements. The effectiveness and competence of the applied method have been confirmed after penetration of renewable energy resources, and in the presence of power system nonlinearities. The robustness of the developed controller has been appraised with system uncertainty and random perturbation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • Aditya (2003) Design of load frequency controller using genetic algorithm for two-area interconnected hydropower system. Electr Power Compon Syst 31:81–94

    Google Scholar 

  • Al-Hamouz Z, Al-Musabi N, Al-Duwaish H, Al-Baiyat S (2005) On the design of variable structure load frequency controller by tabu search algorithm: application to nonlinear interconnected model. Electr Power Compon Syst 33:1253–1267

    Google Scholar 

  • Ali ES, Abd-Elazim SM (2013) BFOA based design of PID controller for two-area load frequency control with nonlinearities. Int J Electr Power Energy Syst 51:224–231

    Google Scholar 

  • Barisal AK (2015) Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-sources power systems. Int J Electr Power Energy Syst 66:67–77

    Google Scholar 

  • Basu M (2017) Quasi-oppositional differential evolution for optimal reactive power dispatch. Int J Electr Power Energy Syst 78:29–40

    Google Scholar 

  • Bhatti TS (2014) Automatic generation control of two area power system interconnected by AC/DC links with diverse source in each area. Int J Electr Power Energy Syst 55:297–304

    Google Scholar 

  • Brest J, Greiner S, Boskovic B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evolut Comput 10:646–657

    Google Scholar 

  • Chang CS, Fu W, Wen F (1998) Load frequency control using genetic algorithm based fuzzy gain scheduling of PI-controller. Electr Power Compon Syst 26:39–52

    Google Scholar 

  • Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219:8121–8144

    MathSciNet  MATH  Google Scholar 

  • Debbarma S, Saikia LC, Sinha N (2014a) Automatic generation control using two-degree of freedom fractional order PID-controller. Int J Electr Power Energy Syst 58:120–129

    Google Scholar 

  • Debbarma S, Saikia LC, Sinha N (2014b) Solution of automatic generation control problem using firefly algorithm optimized IλDμ controller. ISA Trans 53:358–366

    Google Scholar 

  • Demiroren A (2001) Automatic generation control by artificial neural network technique. Electr Power Compon Syst 29:883–896

    Google Scholar 

  • Ergezer M, Simon D, Du D (2009) Oppositional biogeography based optimization. In: IEEE international conference on systems, man and cybernetics (SMC 2009), 11th–14th Oct 2009, pp 1009–1014

  • Goshal SP (2004) Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control. Int J Electr Power Syst Res 72:203–212

    Google Scholar 

  • Gozde H, Taplamacioglu MC (2011) Automatic generation control application with craziness based particle swarm optimization in thermal power system. Int J Electr Power Energy Syst 33:8–16

    Google Scholar 

  • Gozde H, Taplamacioglu MC, Kocaarslan I (2012) Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system. Int J Electr Power Energy Syst 42:167–178

    Google Scholar 

  • Guha D, Roy PK, Banerjee S (2014) Optimal design of superconducting magnetic energy storage based multi-area hydro-thermal system using biogeography based optimization. In: Proceedings of 2014 IEEE fourth international conference emerging application information technology (EAIT-2014), ISI-Kolkata, 19–21 December 2014, pp 52–57

  • Guha D, Roy PK, Banerjee S (2015) Study of dynamic responses of an interconnected two-area all thermal power system with governor and boiler nonlinearities using BBO. In: Proceedings of IEEE 3rd international conference on computer, communication, control and information technology (C3IT-2015), Adisaptagram, Hooghly, India, 7th–8th February 2015, pp 1–6

  • Guha D, Roy PK, Banerjee S (2016) Quasi-oppositional differential search algorithm applied to load frequency control. Eng Sci Technol Int J 19(4):1635–1654

    Google Scholar 

  • Guha D, Roy PK, Banerjee S (2017) Quasi-oppositional symbiotic organism search algorithm applied to load frequency control. Swarm Evolut Comput 33:46–67

    Google Scholar 

  • Guha D, Roy PK, Banerjee S (2018a) Application of backtracking search algorithm in load frequency control of multi-area interconnected power system. Ain Shams Eng J 9:257–276

    Google Scholar 

  • Guha D, Roy PK, Banerjee S (2018b) Optimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithm. Comput Electr Eng 72:137–153

    Google Scholar 

  • Hasanien HM (2018) Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources. IET Gen Trans Distrib 12(3):607–614

    Google Scholar 

  • Ibraheem, Kumar P (2004) A novel approach to the matrix Riccati equation solution: an application to optimal control of interconnected power system. Electr Power Compon Syst 32:33–52

    Google Scholar 

  • Indulkar CS, Raj B (1995) Application of fuzzy logic controller to automatic generation control. Electr Power Compon Syst 23:209–220

    Google Scholar 

  • Khodabakhshian A, Ezatabadi M, Hooshmand R (2012) Design of robust load frequency control using sequential quadratic programming technique. Int J Electr Power Energy Syst 40:1–8

    Google Scholar 

  • Khuntia SR, Panda S (2012) Simulation study for automatic generation control of a multi-area power system by ANFIS approach. Appl Soft Comput 12:333–341

    Google Scholar 

  • Kumar A, Shankar G (2018) Quasi-oppositional harmony search algorithm based optimal dynamic load frequency control of a hybrid tidal–diesel power generation system. IET Gen Trans Distrib 12(5):1099–1108

    Google Scholar 

  • Mohanty B, Panda S, Hota PK (2014) Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. Int J Electr Power Energy Syst 54:77–85

    Google Scholar 

  • Mondal B, Roy PK (2013) Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization. Int J Electr Power Energy Syst 53:123–134

    Google Scholar 

  • Nanda J, Mangla A (2004) Automatic generation control of an interconnected hydro-thermal system using conventional and fuzzy logic controller. In: 2004 IEEE internarial conference on electric utility deregulation restructuring and power technologies (DRPT 2004), April 2004, Hong-Kong

  • Nanda J, Mangla A, Suri S (2006) Some new findings on automatic generation control of an interconnected system with conventional control. IEEE Trans Energy Convers 21:187–198

    Google Scholar 

  • Nanda J, Sreedhar M, Dasgupta A (2015) A new technique in hydro-thermal interconnected automatic generation control system by using minority charge carrier inspired algorithm. Int J Electr Power Energy Syst 68:259–268

    Google Scholar 

  • Oliveira EJ, Honorio LM, Anzai AH, Oliveira LW, Costa EB (2015) Optimal transient droop compensator and PID tuning for load frequency control in hydro power systems. Int J Electr Power Energy Syst 68:345–355

    Google Scholar 

  • Padhan S, Sahu RK, Panda S (2014) Application of firefly algorithm for load frequency control of multi-area interconnected power system. Electr Power Compon Syst 42:1419–1430

    Google Scholar 

  • Panda S, Mohanty B, Hota PK (2013) Hybrid BFOA-PSO algorithm for AGC of linear and nonlinear interconnected power systems. Appl Soft Comput 13:4718–4730

    Google Scholar 

  • Qin AK, Suganthan PN (2005) Self-adaptive differential evolution algorithm for numerical optimization. IEEE Trans Evolut Comput 1–3:1785–1791

    Google Scholar 

  • Rahman A, Saikia LC, Sinha N (2015) Load frequency control of a hydro-thermal system under deregulated environment using biogeography-based optimised three-degree-of-freedom integral-derivative controller. IET Gen Trans Distrib 9(15):2284–2293

    Google Scholar 

  • Ray G, Prasad AN, Prasad GD (1999) A new approach to the design of robust load frequency controller for large power system. Int J Electr Power Syst Res 51:13–22

    Google Scholar 

  • Rubaai A, Udo V (1994) Self-tuning load frequency control: multilevel adaptive approach. IEE Proc Gen Transm Distrib 141:285–290

    Google Scholar 

  • Saha S, Mukherjee V (2018) A novel quasi-oppositional chaotic antlion optimizer for global optimization. Appl Intell 48(9):2628–2660

    Google Scholar 

  • Saha A, Saikia LC (2017) Utilisation of ultra-capacitor in load frequency control under restructured STPP-thermal power systems using WOA optimised PIDNFOPD controller. IET Gen Trans Distrib 11(13):3318–3331

    Google Scholar 

  • Sahu RK, Panda S, Padhan S (2014) Optimal gravitational search algorithm for automatic generation control of interconnected power systems. Ain Shams Eng 5:721–733

    Google Scholar 

  • Sahu RK, Panda S, Padhan S (2015) A hybrid firefly algorithm and pattern search techniques for automatic generation control of multi-are power system. Int J Electr Power Energy Syst 64:9–23

    Google Scholar 

  • Saxena S (2019) Load frequency control strategy via fractional-order controller and reduced-order modeling. Int J Electr Power Energy Syst 104:603–614

    Google Scholar 

  • Sharma G, Nasiruddin I, Niazi KR, Bansal RC (2018) ANFIS based control design for AGC of a hydro-hydro power system with UPFC and hydrogen electrolyzer units. Electr Power Compon Syst 46(4):406–417

    Google Scholar 

  • Shiva CK, Mukherjee V (2016) Automatic generation control of hydropower systems using a novel quasi-oppositional harmony search algorithm. Electr Power Compon Syst 44(13):1478–1491

    Google Scholar 

  • Singh VP, Mohanty SR, Kishor N, Ray PK (2013) Robust H-infinity load frequency control in hybrid distributed generation system. Int J Electr Power Energy Syst 46:294–305

    Google Scholar 

  • Tanin W, Saikia LC (2018a) 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 Gen Trans Distrib 12(5):585–597

    Google Scholar 

  • Tanin W, Saikia LC (2018b) Performance comparison of several energy storage devices in deregulated AGC of a multi-area system incorporating geothermal power plant. IET Gen Trans Distrib 12(7):761–772

    Google Scholar 

  • Tarkeshwar M, Mukherjee V (2015) Quasi-oppositional harmony search algorithm and fuzzy logic controller for load frequency stabilisation of an isolated hybrid power system. IET Gen Trans Distrib 9(5):427–444

    Google Scholar 

  • Tizhoosh H (2005) Opposition-based learning: a new scheme for machine intelligence. In: Proceedings of the international conference on computational intelligence for modeling control and automation, Austria, pp 695–701

  • Tripathy SC, Bhatti TS, Jha CS, Malik OP, Hope GS (1984) Sampled data automatic generation control analysis with reheat steam turbines and governor dead band effects. IEEE Trans Power Appar Syst PAS 103:1045–1051

    Google Scholar 

  • Tripathy SC, Balasubramanian R, Nair PSC (1992) Effect of superconducting magnetic energy storage on automatic generation control considering governor dead band and boiler dynamics. IEEE Trans Power Syst 7:1266–1273

    Google Scholar 

  • Tungadio DH, Bansal RC, Siti MW (2017) Optimal control of active power of two micro-grids interconnected with two AC tie-lines. Electr Power Compon Syst 45(19):2188–2199

    Google Scholar 

  • Velusami K, Ramar S (1997) Design of observer-based decentralized load frequency controllers for interconnected power systems. Int J Electr Power Energy Syst 17:152–160

    Google Scholar 

  • Vrdoljak K, Peric N, Petrovic I (2010) Sliding mode load frequency control in power system. Int J Electr Power Energy Syst 80:514–527

    Google Scholar 

  • Warid W, Hizam H, Mariun N, Waha NIA (2018) A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution. Appl Soft Comput 65:360–373

    Google Scholar 

  • Yousef HA, Kharusi KAL, Albadi MH, Hosseinzadeh N (2014) Load frequency control of a multi-area power system: an adaptive fuzzy logic approach. IEEE Trans Power Syst 29:1821–1830

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Dipayan Guha

  2. Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani, West Bengal, India

    Provas Roy

  3. Department of Electrical Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Subrata Banerjee

Authors
  1. Dipayan Guha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Provas Roy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Subrata Banerjee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dipayan Guha.

Appendix

Appendix

See Table 9.

Table 9 Nominal values of test systems parameters
Full size table

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guha, D., Roy, P. & Banerjee, S. Quasi-oppositional Backtracking Search Algorithm to Solve Load Frequency Control Problem of Interconnected Power System. Iran J Sci Technol Trans Electr Eng 44, 781–804 (2020). https://doi.org/10.1007/s40998-019-00260-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40998-019-00260-0

Keywords

Search

Navigation