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A New Improved Knowledge Based Cultural Algorithm for Reactive Power Planning

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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

This paper proposes a novel hybrid method for the planning of reactive power problem (RPP). The objective of this paper is to determine the optimum investment required to satisfy suitable reactive power constraints for an acceptable performance level of a power system. Due to the discrete nature of reactive compensation devices, the given objective function leads to a nonlinear problem with combined (distinct and constant) variables. It is solved by a hybrid procedure, aiming to develop the best search features of an iterative algorithm. The performance of the proposed procedure is shown by presenting the numerical results obtained from its application to the IEEE 30-bus test network. The results obtained are compared with evolutionary programming (EP) and Broyden method to determine the efficacy of the proposed method.

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Author information

Authors and Affiliations

  1. Electrical Engineering Dept., Techno India, Saltlake, India

    Bidishna Bhattacharya

  2. Department of Power Engineering, Jadavpur University, India

    Kamal K. Mandal & Niladri Chakraborty

Authors
  1. Bidishna Bhattacharya
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  2. Kamal K. Mandal
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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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Bhattacharya, B., Mandal, K.K., Chakraborty, N. (2013). A New Improved Knowledge Based Cultural Algorithm for Reactive Power Planning. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_8

  • 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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