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Simulated Annealing Based Real Power Loss Minimization Aspect for a Large Power Network

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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

Real field power systems are suffering from the various problems since two decades passed. Among them one of the vital problems is the real power loss minimization issue. In this paper the said issue is tried to be solved utilizing one of the interesting meta-heuristic technique i.e., Simulated Annealing method. While solving the same, few control and state variables are controlled and monitored such that system parametric violations do not occur. Finally obtained results are compared with other reported technique which proves the effectiveness of the approached technique.

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Authors and Affiliations

  1. Dept. of Power Engineering, Jadavpur University, Saltlake 2nd Campus, Kolkata, 98, India

    Syamasree Biswas (Raha), Kamal Krishna Manadal & Niladri Chakraborty

Authors
  1. Syamasree Biswas (Raha)
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  2. Kamal Krishna Manadal
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  3. Niladri Chakraborty
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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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Biswas (Raha), S., Manadal, K.K., Chakraborty, N. (2013). Simulated Annealing Based Real Power Loss Minimization Aspect for a Large Power Network. 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_31

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_31

  • 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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