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Particle Swarm Optimization Algorithm Based PID Controller for the Control of the Automatic Generation Control

  • Ali Abdyasser KadhumEmail author
  • Thaeer Mueen Sahib
  • Mohsın Mousa Mohammed Ali
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 172)

Abstract

When the automatic generation control (AGC) is used in power system safety, the aim is to ensure that the power systems’ expected frequency is maintained at a perceived stable value. The role of the AGC lies in the adjustment of a given system, especially with the intention of meeting or achieving the required load. Also, SGC aids in ensuring that systems adjust to changes in frequency, besides enhancing the ACE adjustment to zero. However, one of the challenges that face frequency control processes in interconnected zones is the role of single areas. Therefore, this study applies the PSO (Particle Swarm Optimization) algorithm towards the realization of fine PID controllers, especially in contexts involving two area load frequency controls. From the findings, the investigation demonstrates that the selected controller improve the performance of targeted systems and also enhances operations in AGC supplies; a trend confirmed by the resultant sensible dynamic response. Also, SIMULINK and MATLAB are used to investigate the two areas’ performance control. Similarly, the study employed K–800–23.5–0.0034 or the AL-Dura power plant form.

Keywords

Two are and single area control system Generation frequency control Particle swarm optimization (PSO) Automatic generation control (AGC) 

References

  1. 1.
    Sadat, H.: Power system analysis. Tata MCGraw Hill (1999)Google Scholar
  2. 2.
    Sivanagaraju, S., Sreenivasan, G.: Power system operation and control. PEARSON (2011)Google Scholar
  3. 3.
    Prakash, S., Sinha, S.K.: Four area load frequency control of interconnected hydro—thermal power system by intelligent PID control technique. 978-1-4673-0455-9/12. IEEE (2012)Google Scholar
  4. 4.
    Garg, K., Kaur, J.: Particle swarm optimization based automatic generation control of two area interconnected power system. Int. J. Sci. Res. Publ. 4(1) (2014)Google Scholar
  5. 5.
    Singh, O.: Design of particle swarm optimization (PSO) based automatic generation control (AGC) regulator with different cost functions. J. Electr. Electron. Eng. Res. 4(2), 33–45 (2012) Google Scholar
  6. 6.
    Yarlagadda, V., Saroja, P.S., Avinash, P., Nikhilesh P.: Comparative analysis of fast acting AVR and ALFC loops with classical controllers on dynamic stability improvement. Int. J. Adv. Res. Electr., Electron. Instrum. Eng. 4(6) (2015)Google Scholar
  7. 7.
    Krishna, S.R., Singh, P., Das, M.S.: Control of load frequency of power system by PID controller using PSO. Int. J. Recent. Dev. Eng. Technol. Website: www.ijrdet.com (ISSN 2347-6435(Online), 5(6), 2016)
  8. 8.
    Panda, G., Panda, S., Ardil, C.: Hybrid neuro fuzzy approach for automatic generation control of two—area interconnected power system. Int. J. Electr., Electron. Sci. Eng. 3(3) (2009)Google Scholar
  9. 9.
    Challa, K.K., Nagendra Rao, P.S.: Analysis and design of controller for two area thermal-hydro-gas AGC system. 978-1-4244-7781-4/10. IEEE (2010)Google Scholar
  10. 10.
    Kothari, D.P., Nagrath, J.: Modern power system analysis, 3rd edn. Tata McGraw Hill (2003)Google Scholar
  11. 11.
    Magla, A., Nanda, J.: Automatic generation control of an interconnected hydro—thermal system using conventional integral and fuzzy logic control. In: Proceedings IEEE Electric Utility Deregulation, Restructuring and Power Technologies (2004)Google Scholar
  12. 12.
    Kawata, K., Fukuyama, Y;, Takayama, S., Nakanishi, Y.: A particle swarm optimization for reactive power and voltage control. Technical Research Center, Power Technology Lab., The Kansai Electric Power Co., Inc., Power Technology Lab, Fuji Electric Corporate R &D, Ltd., IEEE Trans. on Power Systems, Vol. 15, No. 4, pp. 1232–1239, November 2001Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ali Abdyasser Kadhum
    • 1
    Email author
  • Thaeer Mueen Sahib
    • 1
  • Mohsın Mousa Mohammed Ali
    • 1
  1. 1.Al-Furat al-Awsat Technical UniversityAl-KufaIraq

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