Skip to main content

2022 | OriginalPaper | Buchkapitel

Comparative Analysis of Controller Tuning for Multi-area Power System Using Swarm Optimization Techniques

verfasst von : B. Rajani, Venkatesh Rayapati, Rayudu Srinivas, Koneti Varalakshmi

Erschienen in: Control Applications in Modern Power Systems

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This study provides a comparative analysis of two different swarm optimization techniques, i.e., flower pollination algorithm and ant colony optimization algorithm to find the PID controller parameters of a multi-area automatic generation control system. Dynamics of multi-area power system has been provided along with the linearized state-space model. Model order reduction is used to find the linearized model of the system. For controller purpose, PID controller is used. To find the parameters of PID controller, flower pollination and ant colony optimization algorithm have been used. Simulation results and comparative analysis have been provided.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Shayeghi H, Shayanfar HA, Jalili A (2009) Load frequency control strategies: a state-of-the-art survey for the researcher. Energy Convers Manag 50(2):344–353CrossRef Shayeghi H, Shayanfar HA, Jalili A (2009) Load frequency control strategies: a state-of-the-art survey for the researcher. Energy Convers Manag 50(2):344–353CrossRef
2.
Zurück zum Zitat Pandey SK, Mohanty SR, Kishor N (2013) A literature survey on load–frequency control for conventional and distribution generation power systems. Renewa Sustain Energy Rev 25:318–334 Pandey SK, Mohanty SR, Kishor N (2013) A literature survey on load–frequency control for conventional and distribution generation power systems. Renewa Sustain Energy Rev 25:318–334
3.
Zurück zum Zitat Kumar P, Kothari DP et al (2005) Recent philosophies of automatic generation control strategies in power systems. IEEE Trans Power Syst 20(1):346–357 Kumar P, Kothari DP et al (2005) Recent philosophies of automatic generation control strategies in power systems. IEEE Trans Power Syst 20(1):346–357
4.
Zurück zum Zitat Padhan DG, Majhi S (2013) A new control scheme for PID load frequency controller of single-area and multi-area power systems. ISA Trans 52(2):242–251 Padhan DG, Majhi S (2013) A new control scheme for PID load frequency controller of single-area and multi-area power systems. ISA Trans 52(2):242–251
5.
Zurück zum Zitat Nanda J, Mangla A, Suri S (2006) Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers. IEEE Trans Energy Conv 21(1):187–194CrossRef Nanda J, Mangla A, Suri S (2006) Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers. IEEE Trans Energy Conv 21(1):187–194CrossRef
6.
Zurück zum Zitat Saikia LC, Nanda J, Mishra S (2011) Performance comparison of several classical controllers in agc for multi-area interconnected thermal system. Int J Electr Power Energy Syst 33(3):394–401 Saikia LC, Nanda J, Mishra S (2011) Performance comparison of several classical controllers in agc for multi-area interconnected thermal system. Int J Electr Power Energy Syst 33(3):394–401
7.
Zurück zum Zitat Prusty SB, Padhee S, Pati UC, Mahapatra KK (2015) Comparative performance analysis of various tuning methods in the design of PID controller. In: Michael Faraday IET international summit. IET Prusty SB, Padhee S, Pati UC, Mahapatra KK (2015) Comparative performance analysis of various tuning methods in the design of PID controller. In: Michael Faraday IET international summit. IET
8.
Zurück zum Zitat Bhullar AK, Kaur R, Sondhi S (2020) Enhanced crow search algorithm for AVR optimization. Soft Comput 24(16):11957–11987 Bhullar AK, Kaur R, Sondhi S (2020) Enhanced crow search algorithm for AVR optimization. Soft Comput 24(16):11957–11987
9.
Zurück zum Zitat Ezugwu AE, Adeleke OJ, Akinyelu AA, Viriri S (2020) A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput Appl 32(10):6207–6251 Ezugwu AE, Adeleke OJ, Akinyelu AA, Viriri S (2020) A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput Appl 32(10):6207–6251
10.
Zurück zum Zitat Topno PN, Chanana S (2018) Differential evolution algorithm based tilt integral derivative control for LFC problem of an interconnected hydro-thermal power system. J Vib Control 24(17):3952–3973 Topno PN, Chanana S (2018) Differential evolution algorithm based tilt integral derivative control for LFC problem of an interconnected hydro-thermal power system. J Vib Control 24(17):3952–3973
11.
Zurück zum Zitat Abd-Elazim SM, Ali ES (2018) Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator. Electr Eng 100(2):1253–1262CrossRef Abd-Elazim SM, Ali ES (2018) Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator. Electr Eng 100(2):1253–1262CrossRef
12.
Zurück zum Zitat Abdelaziz AY, Ali ES (2016) Load frequency controller design via artificial cuckoo search algorithm. Electr Power Compon Syst 44(1):90–98 Abdelaziz AY, Ali ES (2016) Load frequency controller design via artificial cuckoo search algorithm. Electr Power Compon Syst 44(1):90–98
13.
Zurück zum Zitat Prasad S, Purwar Shubhi, Kishor N (2019) Load frequency regulation using observer based non-linear sliding mode control. Int J Electr Power Energy Syst 104:178–193CrossRef Prasad S, Purwar Shubhi, Kishor N (2019) Load frequency regulation using observer based non-linear sliding mode control. Int J Electr Power Energy Syst 104:178–193CrossRef
14.
Zurück zum Zitat Yang X-S (2012) Flower pollination algorithm for global optimization. In: International conference on unconventional computing and natural computation. Springer, Berlin, pp 240–249 Yang X-S (2012) Flower pollination algorithm for global optimization. In: International conference on unconventional computing and natural computation. Springer, Berlin, pp 240–249
15.
Zurück zum Zitat Yang X-S, Karamanoglu M, He X (2013) Multi-objective flower algorithm for optimization. Procedia Comput Sci 18:861–868CrossRef Yang X-S, Karamanoglu M, He X (2013) Multi-objective flower algorithm for optimization. Procedia Comput Sci 18:861–868CrossRef
16.
Zurück zum Zitat Liang Y-C, Smith AE (2004) An ant colony optimization algorithm for the redundancy allocation problem (rap). IEEE Trans Reliab 53(3):417–423 Liang Y-C, Smith AE (2004) An ant colony optimization algorithm for the redundancy allocation problem (rap). IEEE Trans Reliab 53(3):417–423
17.
Zurück zum Zitat Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1(4):28–39CrossRef Dorigo M, Birattari M, Stutzle T (2006) Ant colony optimization. IEEE Comput Intell Mag 1(4):28–39CrossRef
Metadaten
Titel
Comparative Analysis of Controller Tuning for Multi-area Power System Using Swarm Optimization Techniques
verfasst von
B. Rajani
Venkatesh Rayapati
Rayudu Srinivas
Koneti Varalakshmi
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-0193-5_5