Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Characterization of Fuzzy Tree Searches: A Perspective Note Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Solution of Optimal Power Flow by an Opposition-Based Gravitational Search Algorithm

Authors : Binod Shaw, Abhik Banerjee, V. Mukherjee, S. P. Ghoshal

Published in: Intelligent Computing and Applications

Publisher: Springer India

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs opposition-based gravitational search algorithm (OGSA) for optimal settings of OPF control variables. The proposed approach is tested on the standard 26-bus test system with different objective functions those reflect minimization of fuel cost, that of transmission loss, that of sum of total voltage deviation while maintaining an acceptable system performance in terms of limits on generators’ real and reactive powers, line flow limits, outputs of various compensating devices, etc. The simulation results of the proposed approach are compared with those reported in the literature. The obtained results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the OPF problem of power system considered.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter CMOS Amplifier Design Using Simplified g m /I D Technique
next chapter Information Systems and Artificial Intelligence Technology Applied in Concrete Road Design
Literature
1.
Happ, H.H.: Optimal power dispatch a comprehensive survey. IEEE Trans. Power App. Sys. 96(3), 841–851 (1977)CrossRef
2.
Bouktir, T., Belkacemi, M., Zehar, K.: Optimal power flow using modified gradient method. In: Proceeding ICEL’ 2000, vol. 2, pp. 436–442. U.S.T. Oran, Algeria (2000)
3.
Capitanescu, F., Glavic, M., Ernst, D., Wehenkel, L.: Interior-point based algorithms for the solution of optimal power flow problems. Elect. Power Syst. Res. 77(5–6), 508–517 (2007)CrossRef
4.
Carvalho, E.P.D., Junior, A.D.S., Ma, T.F.: Reduced gradient method combined with augmented lagrangian and barrier for the optimal power flow problem. Appl. Math. Comput. 200(2), 529–536 (2008)CrossRefMATHMathSciNet
5.
Ramos, J.L.M., Exposito, A.G., Quintana, V.H.: Transmission power loss reduction by interior-point methods: implementation issues and practical experience. Proc. IEE Gener. Transm. Distrib. 152(1), 90–98 (2005)CrossRef
6.
Lobato, E., Rouco, L., Navarrete, M.I., Casanova, R., Lopez, G.: An LP-based optimal power flow for transmission losses and generator reactive margins minimization. In: Proceedings of IEEE Porto Power Tech Conference Portugal (2001)
7.
Momoh, J.A., El-Hawary, M.E., Adapa, R.: A review of selected optimal power flow literature to 1993 part I and II. IEEE Trans. Power Syst. 14(1), 96–111 (1999)CrossRef
8.
Pudjianto, D., Ahmed, S., Strbac, G.: Allocation of VAR support using LP and NLP based optimal power flows. IEE Gener. Transm. Distrib. 149(4), 377–383 (2002)CrossRef
9.
Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232–2248 (2009)CrossRefMATH
10.
Tizhoosh, H.R.: Opposition-based learning: a new scheme for machine intelligence. In: Proceedings of International Conference Computational Intel, Modeling, Control and Automation, pp. 695–701 (2005)
11.
Wang, X.F., Song, Y., Irving, M.: Modern power systems analysis. Springer, New York (2008)CrossRef
12.
Gaing, Z., Huang, H.S.: Real-coded mixed integer genetic algorithm for constrained optimal power flow. In: Proceedings of IEEE TENCON Region 10 Conference 3, pp. 323–326 (2004)
13.
Gaing, Z., Huang, H.S.: Security-constrained optimal power flow by mixed integer genetic algorithm with arithmetic operators. In: Proceedings of IEEE Power Engineering Society General Meeting, pp. 1–8 Montreal (2006)
14.
Gaing, Z.L.: Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. Power Syst. 18(3), 1187–1195 (2003)CrossRef
15.
Roy, P.K., Ghoshal, S.P., Thakur, S.S.: Multi-objective optimal power flow using biogeography-based optimization. Elect. Power Comp. Syst. 38(12), 1406–1424 (2010)CrossRef
16.
Bhattacharya, A., Roy, P.K.: Solution of multi-objective optimal power flow using gravitational search algorithm. Proc. IET Gener. Transm. Distrib. 6(8), 751–763 (2012)CrossRefMathSciNet
17.
Bhattacharya, A., Chattopadhyay, P.K.: Solution of optimal reactive power flow using biogeography-based optimization. Int. J. Electr. Electron Eng. 4(8), 568–576 (2010)
Metadata
Title
Solution of Optimal Power Flow by an Opposition-Based Gravitational Search Algorithm
Authors
Binod Shaw
Abhik Banerjee
V. Mukherjee
S. P. Ghoshal
Copyright Year
2015
Publisher
Springer India
Book
Intelligent Computing and Applications

Print ISBN: 978-81-322-2267-5

Electronic ISBN: 978-81-322-2268-2

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-81-322-2268-2_56

Premium Partner

    Image Credits