Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Electrical Engineering
Erschienen in: Electrical Engineering 2/2018

15.06.2017 | Original Paper

Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator

verfasst von: S. M. Abd-Elazim, E. S. Ali

Erschienen in: Electrical Engineering | Ausgabe 2/2018

Einloggen

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

search-config
loading …

Abstract

In this paper, firefly algorithm (FA) for optimal tuning of PI controllers for load frequency control of hybrid system composing of photovoltaic (PV) system and thermal generator is introduced. Also, maximum power point tracking of PV is considered in the design process. The block diagram of the hybrid system is performed. To robustly tune the parameters of controllers, a time domain-based objective function is established which is solved by the FA. Simulation results are presented to show the improved performance of the suggested FA-based controllers compared with genetic algorithm (GA). These results show that the proposed controllers present better performance over GA in terms of settling times and different indices.
Vorheriger Artikel Folded bus bar current transducer based on Hall effect sensor
Nächster Artikel Reliability improvement of reconfigurable distribution system using GA and PSO

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!

Jetzt informieren

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!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Elgerd OI (2006) Electric energy systems theory. Tata McGraw - Hill, New Delhi
2.
Bevrani H (2014) Robust power system frequency control, 2nd edn. Springer, ChamMATH
3.
Wang Y, Zhou R, Wen C (1993) Robust load-frequency controller design for power systems. IEE Proc Gener Transm Distrib 140(1):11–16CrossRef
4.
Azzam M (1999) Robust automatic generation control. Energy Convers Manag 40:1413–1421CrossRef
5.
Lee HJ, Park JB, Joo YH (2006) Robust load-frequency control for uncertain nonlinear power systems: a fuzzy logic approach. Int J Inf Sci 176(23):3520–3537MathSciNetMATH
6.
Tan W, Xu Z (2009) Robust analysis and design of load frequency controller for power systems. Electr Power Syst Res 79(5):846–853CrossRef
7.
Tan W, Zhou H (2012) Robust analysis of decentralized load frequency control for multi-area power systems. Int J Electr Power Energy Syst 43(1):996–1005CrossRef
8.
Chidambaram IA, Paramasivam B (2009) Genetic algorithm based decentralized controller for load- frequency control of interconnected power systems with RFB considering TCPS in the tie-line. Int J Electron Eng Res 1(4):299–312
9.
Sakhavati A, Gharehpetian GB, Hosseini SH (2011) Decentralized robust load-frequency control of power system based on quantitative feedback theory. Turk J Electr Eng Comput Sci 19(4):513–530
10.
Selvakumaran S, Parthasarathy S, Karthigaivel R, Rajasekaran V (2012) Optimal decentralized load frequency control in a parallel AC–DC interconnected power system through HVDC link using PSO algorithm. Energy Procedia 14:1849–1854CrossRef
11.
Singla H, Kumar A (2012) LQR based load frequency control with SMES in deregulated environment. In: Annual IEEE India Conference (INDICON), 7–9 Kochi, pp 286–292
12.
Pandey SK, Mohanty SR, Kishor N, Catalão JPS (2013) An advanced LMI-based-LQR design for load frequency control of an autonomous hybrid generation system. In: Camarinha- Matos LM, Tomic S, Graça P (eds) Technological innovation for the Internet of Things, DoCEIS 2013. IFIP advances in information and communication technology, vol 394. Springer, Berlin, Heidelberg
13.
Liaw CM (1991) A modified optimal load-frequency controller for interconnected power systems. Opt Control Appl Methods 12(3):197–204CrossRefMATH
14.
Hasan N (2012) Design and analysis of pole-placement controller for interconnected power systems. Int J Emerg Technol Adv Eng 2(8):212–217
15.
Bengiamin NN, Chan WC (1982) Variable structure control of electric power generation. IEEE Trans Power Appar Syst 101:376–380CrossRef
16.
Umrao R, Chaturvedi DK, Malik OP (2011) Load frequency control: a polar fuzzy approach. In: Panigrahi BK, Suganthan PN, Das S, Satapathy SC (eds) Swarm, evolutionary, and memetic computing. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg
17.
Bevrani H, Daneshmand PR (2012) Fuzzy logic-based load-frequency control concerning high penetration of wind turbines. IEEE Syst J 6(1):173–180CrossRef
18.
Umrao R, Chaturvedi DK (2013) A novel fuzzy control approach for load frequency control. In: Malathi R, Krishnan J (eds) Recent advancements in system modeling applications. Lecture Notes in Electrical Engineering, vol 188. Springer, India
19.
Zamee MA, Mitra D, Tahhan SY (2013) Load frequency control of interconnected hydro-thermal power system using conventional PI and fuzzy logic controller. Int J Energy Power Eng 2(5):191–196CrossRef
20.
Yousef HA, AL-Kharusi K, Albadi MH, Hosseinzadeh N (2014) Load frequency control of a multi-area power system: an adaptive fuzzy logic approach. IEEE Trans Power Syst 29(4):1822–1830CrossRef
21.
Prakash S, Sinha S (2011) Load frequency control of three area interconnected hydro-thermal reheat power system using artificial intelligence and PI controllers. Int J Eng Sci Technol 4(1):23–37
22.
Nag S, Philip N (2013) Application of neural networks to automatic load frequency control. In: Panigrahi BK, Suganthan PN, Das S, Dash SS (eds) Swarm evolutionary, and memetic computing, SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham
23.
Francis R, Chidambaram IA (2013) Application of modified dynamic neural network for the load frequency control of a two area thermal reheat power system. Int Rev Autom Control 6(1):47–53
24.
Ramesh S, Krishnan A (2009) Modified genetic algorithm based load frequency controller for interconnected power systems. Int J Electr Power Eng 3(1):26–30
25.
Milani AE, Mozafari B (2011) Genetic algorithm based optimal load frequency control in two area interconnected power system. Global J Technol Optim 2:6–10
26.
Jeyalakshmi V, Subburaj P (2015) Load frequency control in two area multi units interconnected power system using multi objective genetic algorithm. WSEAS Trans Power Syst 10:35–45
27.
Ghoshal SP (2004) Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control. Int J Electr Power Syst Res 72(3):203–212CrossRef
28.
Hooshmand R, Ataei M, Zargari A (2012) A new fuzzy sliding mode controller for load frequency control of large hydropower plant using particle swarm optimization algorithm and kalman estimator. Eur Trans Electr Power 22(6):812–830CrossRef
29.
GiriBabu V, Hemanth B, Kumar TS, Prasanth BV (2014) Single area load frequency control problem using particle swarm optimization. Int J Eng Sci 3(6):46–52
30.
Jagatheesan K, Anand B, Ebrahim MA (2014) Stochastic particle swarm optimization for tuning of PID controller in load frequency control of single area reheat thermal power system. Int J Electr Power Eng 8(2):33–40
31.
Ali ES, Abd-Elazim SM (2011) Bacteria foraging optimization algorithm based load frequency controller for interconnected power system. Int J Electr Power Energy Syst 33(3):633–638CrossRef
32.
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 51:224–231CrossRef
33.
Saikia LC, Sahu SK (2013) Automatic generation control of a combined cycle gas turbine plant with classical controllers using firefly algorithm. Int J Electr Power Energy Syst 53:27–33CrossRef
34.
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(13):1419–1430CrossRef
35.
Sahu RK, Panda S, Padhan S (2015) A novel hybrid gravitational search and pattern search algorithm for load frequency control of nonlinear power system. Appl Soft Comput 29:310–327CrossRef
36.
Abd-Elaziz AY, Ali ES (2015) Cuckoo search algorithm based load frequency controller design for nonlinear interconnected power system. Int J Electr Power Energy Syst 73C:632–643CrossRef
37.
Abd-Elazim SM, Ali ES (2016) Load frequency controller design via BAT algorithm for nonlinear interconnected power system. Int J Electr Power Energy Syst 77C:166–177CrossRef
38.
Yang XS (2010) Nature-inspired metaheuristic algorithms, 2nd edn. Luniver Press, Frome
39.
Yang XS (2010) Firefly algorithm, stochastic test functions and design optimization. Int J Bio-Inspired Comput 2(2):78–84CrossRef
40.
Yang XS (2010) Firefly algorithm, levy flights and global optimization. In: Bramer M, Ellis R, Petridis M (eds) Research and development in intelligent systems, XXVI. Springer, London
41.
Hashmi A, Goel N, Goel S, Gupta D (2013) Firefly algorithm for unconstrained optimization. IOSR J Comput Eng 11(1):75–78CrossRef
42.
Mahapatra S, Panda S, Swain SC (2014) A hybrid firefly algorithm and pattern search technique for SSSC based power oscillation damping controller design. Ain Shams Eng J 5(4):1177–1188CrossRef
43.
Ndongmo J, Kenné G, Fochie R, Cheukem A, Fotsin H, Lagarrigue F (2014) A simplified nonlinear controller for transient stability enhancement of multimachine power systems using SSSC device. Int J Electr Power Energy Syst 54:650–657CrossRef
44.
Rajalakshmi N, Subramanian DP, Thamizhavel K (2015) Performance enhancement of radial distributed system with distributed reconfiguration using binary firefly algorithm. J Inst Eng Ser B 96(1):91–99CrossRef
45.
Yang XS, Hosseini SSS, Gandomi AH (2012) Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Appl Soft Comput 12:1180–1186CrossRef
46.
Chandrasekaran K, Simon SP, Padhy NP (2013) Binary real coded firefly algorithm for solving unit commitment problem. Inf Sci 249:67–84CrossRef
47.
Santy T, Natesan R (2015) Load frequency control of a two area system consisting of a grid connected PV system and diesel generator. Int J Emerg Technol Comput Electron 13(1):456–461
48.
Tomy FT, Prakash R (2014) Load frequency control of a two area hybrid system consisting of a grid connected PV system and thermal generator. Int J Res Eng Technol 3(7):573–580
49.
Ali ES (2015) Speed control of DC series motor supplied by photovoltaic system via firefly algorithm. Neural Comput Appl 26(6):1321–1332CrossRef
50.
Oshaba AS, Ali ES, Abd-Elazim SM (2017) PI controller design for MPPT of photovoltaic system supplying SRM via BAT search algorithm. Neural Comput Appl 28(4):651–667CrossRef
51.
Oshaba AS, Ali ES, Abd-Elazim SM (2017) PI controller design using ABC algorithm for MPPT of PV system supplying DC motor pump load. Electr Eng 28(2):353–364
52.
Ali ES (2016) Imperialist competitive algorithm for speed control of induction motor supplied by wind turbine. Electr Eng 98:179–187CrossRef
53.
Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence, Reprint edn. A Bradford Book, Cambridge
Metadaten
Titel
Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator
verfasst von
S. M. Abd-Elazim
E. S. Ali
Publikationsdatum
15.06.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 2/2018
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-017-0576-5

Weitere Artikel der Ausgabe 2/2018

Electrical Engineering 2/2018 Zur Ausgabe

Original Paper

Adaptive fuzzy-logic state controller for DC–DC step-down converter

Original Paper

Global optimization of high-power modular multilevel active-front-end converter using analytical model

Original Paper

Negative feedback, linearity and parameter invariance in linear electronics

Original Paper

Identification of coherent areas using a power spectral density algorithm

Original Paper

Modeling and control of an interconnected combined cycle gas turbine using fuzzy and ANFIS controllers

Original Paper

Development and validation of ANN approach for extraction of MESFET/HEMT noise model parameters

Neuer Inhalt

    Bildnachweise