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A New Hybrid Algorithm Using Chaos-Enhanced Differential Evolution for Loss Minimization with Improvement of Voltage Profile of Distribution Systems

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Soft Computing Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 761))

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Abstract

Optimal operation of distribution systems plays an important role in the successful economic and secure operation of modern-day power systems under deregulated environment. Reduction in distribution loss and enhancement of bus voltage profile is often considered as the key parameters for economic and secure operation for distribution systems. Various methods including both mathematical and methods based on soft computing techniques have been utilized to address these problems. As reported in the literature, success of any heuristic technique greatly depends on the determination of optimal values of control parameters. Unfortunately, no analytical and straightforward method is available for the purpose. Usually, these parameters are selected experimentally considering different combination each time. A new hybrid algorithm using differential evolution and chaos theory is presented in the present work. Tent map chaotic sequence is utilized for self-adaptation of control parameters. The method is referred as tent map differential evolution (TMDE) in this work. The proposed hybrid algorithm is tested on 33-bus radial distribution system for validation and demonstration purpose. Systematic simulation results are presented and compared with same obtained by other modern techniques. It has been observed that it is capable of producing higher quality solution.

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Acknowledgements

The authors are thankful to Jadavpur University, Kolkata. This work is supported by the program UPE II, UGC, Govt. of India.

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Authors and Affiliations

  1. Department of Electrical Engineering, Jadavpur University, Kolkata, 700032, India

    S. Mandal

  2. Department of Power Engineering, Jadavpur University, Kolkata, 700098, India

    K. K. Mandal & B. Tudu

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  1. S. Mandal
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  2. K. K. Mandal
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  3. B. Tudu
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Correspondence to K. K. Mandal .

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Editors and Affiliations

  1. Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  2. Department of Applied Science and Engineering, IIT Roorkee, Saharanpur, Uttar Pradesh, India

    Millie Pant

  3. Surface Characterization Group, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Mandal, S., Mandal, K.K., Tudu, B. (2018). A New Hybrid Algorithm Using Chaos-Enhanced Differential Evolution for Loss Minimization with Improvement of Voltage Profile of Distribution Systems. In: Ray, K., Pant, M., Bandyopadhyay, A. (eds) Soft Computing Applications. Studies in Computational Intelligence, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-8049-4_5

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  • DOI: https://doi.org/10.1007/978-981-10-8049-4_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8048-7

  • Online ISBN: 978-981-10-8049-4

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