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Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8297))

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Abstract

Economic load dispatch (ELD) is an important operational problem of the power system, aiming to reduce the Power loss. The firefly algorithm (FA), a heuristic numeric optimization algorithm inspired by the behavior of fireflies, appears to be a robust and reliable technique. This paper presents a self adaptive FA for the solution of the ELD problem. The proposed algorithm (PA) is applied to the standard IEEE 30 bus test system and the result are presented to demonstrate its effectiveness.

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Author information

Authors and Affiliations

  1. Electrical and Electronics Engineering, Odaiyappa College of Engg & Tech, Theni (Dist), 625531, India

    B. Suresh Babu

  2. Electrical and Electronics Engineering, Velammal College of Engineering & Technology, Madurai, 625 009, Tamil Nadu, India

    A. Shunmugalatha

Authors
  1. B. Suresh Babu
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  2. A. Shunmugalatha
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Editor information

Editors and Affiliations

  1. Electrical Engineering Dept., IIT Delhi, Hauz Khas, 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  4. SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Potheri, Kattankulathur, Kancheepuram, 603203, Tamil Nadu, India

    Shubhransu Sekhar Dash

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© 2013 Springer International Publishing Switzerland

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Babu, B.S., Shunmugalatha, A. (2013). Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03752-3

  • Online ISBN: 978-3-319-03753-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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