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Load Frequency Control for Power System of Interconnected Two Area System Using Salp Swarm Algorithm Technique Based 3 DOF-PID Controller for Optimization

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Control Applications in Modern Power Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 870))

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Abstract

In this present work, we develop a model of two-area power grid system for load frequency control (LFC), a three-degree of freedom PID controller is referred and suggested as a special controller. The system under analysis includes a single power system having two control area, each of which comprises reheat type thermal unit generating source. Salp swarm algorithm (SSA) optimization technique is utilized for tuning controller to find the optimal value of the parameter gain of recommended 3DOF-PID control system for each control region or area. The optimization process is preceded using a function Integral time absolute error (ITAE) as an objective function to access the performance measure from simulink model and a 0.01p.u sudden perturbation of load for area-one. For achieving the better dynamic behavior of the system responses, such as time of settling, peak undershoot, and peak overshoot, evaluation of system’s dynamic performance. Further comparison of PID, 2DOF-PID and 3DOF-PID controllers are also included in this analysis.

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References

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

    Google Scholar 

  2. Sivanagaraju S, Sreenivasan G. Power system operation and control

    Google Scholar 

  3. Guha D, Roy PK, Banerjee S (2019) Grasshopper optimization algorithm-scaled fractional-order PID controller applied to reduced-order model of load frequency control system. 2019 Int J Modell Simul 1–26. https://doi.org/10.1080/02286203.2019.1596727

  4. Lone AH, Yousuf V, Prakash S, Bazaz MA (2018) Load frequency control of two area interconnected power system using SSSC with PID, Fuzzy and Neural Network Based Controllers. In: 2018 2nd IEEE international conference on power electronics, intelligent control and energy systems (ICPEICES), Delhi, 2018, pp 108–113

    Google Scholar 

  5. Bernard M, Musilek P (2017) Ant-based optimal tuning of PID controllers for load frequency control in power systems. In: 2017 IEEE electrical power and energy conference (EPEC), Saskatoon, SK, Canada, 2017, pp 1–6. https://doi.org/10.1109/EPEC.2017.8286152

  6. Debbarma S, Saikia LC, Sinha N, Kar B, Datta A (2016) Fractional order two degree of freedom control for AGC of an interconnected multi-source power system. In: 2016 IEEE international conference on industrial technology (ICIT), Taipei, Taiwan, 2016, pp 505–510. https://doi.org/10.1109/ICIT.2016.7474802

  7. Debnath MK, Satapathy P, Mallick RK (2017) 3DOF-PID controller based automatic generation control using TLBO algorithm. Int J Pure Appl Math 114(9):39–49

    Google Scholar 

  8. Raju M, Saikia LC, Sinha N (2016) Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller. Int J Electr Power Energy System 80:52–63. https://doi.org/10.1016/j.ijepes.2016.01.037

    Article  Google Scholar 

  9. Gheisarnejad M (2018) An effective hybrid harmony search and cuckoo optimization algorithm based fuzzy PID controller for load frequency control. Appl Soft Comput 65:121–138. https://doi.org/10.1016/j.asoc.2018.01.007

    Article  Google Scholar 

  10. Guha D, Roy PK, Banerjee S (2016) Load frequency control of large-scale power system using quasi-oppositional grey wolf optimization algorithm. Eng Sci Tech 19(4):1693–1713. https://doi.org/10.1016/j.jestch.2016.07.004

    Article  Google Scholar 

  11. Sahu A, Hota SK (2018) Performance comparison of 2-DOF PID controller based on Moth-flame optimization technique for load frequency control of diverse energy source interconnected power system. In: 2018 Technologies for smart-city energy security and power (ICSESP). https://doi.org/10.1109/icsesp.2018.8376686

  12. Ibrahim ANAA, Shafei MAR, Ibrahim DK (2017) Linearized biogeography-based optimization tuned PID-P controller for load frequency control of interconnected power system. In: 2017 Nineteenth international middle east power systems conference (MEPCON). https://doi.org/10.1109/mepcon.2017.8301316

  13. Seekuka J, Rattanawaorahirunkul R, Sansri S, Sangsuriyan S, Prakonsant A (2016) AGC using particle swarm optimization based PID controller design for two area power system. In: 2016 International computer science and engineering conference (ICSEC). https://doi.org/10.1109/icsec.2016.7859951

  14. Parvnesh H, Dizgah SM, Sedighizadeh M, Ardeshir ST (2016) Load frequency control of a multi-area power system by optimum designing of frequency-based PID controller using seeker optimization algorithm. In: 2016 6th Conference on thermal power plants (CTPP). https://doi.org/10.1109/ctpp.2016.7483053

  15. Panda P, Kumar A (2018) Design and analysis of 3-DOF PID controller for load frequency control of multi area interconnected power systems. In: 2018 International conference on recent innovations in electrical, electronics & communication engineering (ICRIEECE). 2018, pp 2983–2987

    Google Scholar 

  16. Mirjalili S, Gandomi AH, Mirjalili SZ et al (2017) Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163–191

    Article  Google Scholar 

  17. Martins FG (2005) Tuning PID controllers using the ITAE criterion. Int J Eng Ed 21(5):867–873

    Google Scholar 

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Sinha, A.R., Gupta, N.K., Sekhar, C., Singh, A.K. (2022). Load Frequency Control for Power System of Interconnected Two Area System Using Salp Swarm Algorithm Technique Based 3 DOF-PID Controller for Optimization. In: Kumar, J., Tripathy, M., Jena, P. (eds) Control Applications in Modern Power Systems. Lecture Notes in Electrical Engineering, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-19-0193-5_34

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  • DOI: https://doi.org/10.1007/978-981-19-0193-5_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0192-8

  • Online ISBN: 978-981-19-0193-5

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