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An Overview of Recent Nature Inspired Computational Techniques for Dynamic Economic Dispatch

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Proceedings of International Conference on Communication and Computational Technologies

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

A practical power system network is highly dynamic, non-convex and nonlinear in nature subjected to various discrete and continuous variable constraints. Over the last few decades, several computational techniques, both traditional and nature inspired have been developed to solve the practical dynamic dispatch problem. A large variety of nature-inspired computational (NIC) techniques have been proposed to solve the power dispatch problem owing to their excellent performance, simple constraint handling mechanism and veracity to handle all kinds of functions. Unlike NIC techniques, the traditional methods suffer from convexity, continuity assumptions and may not always be attractive options to solve practical optimization problems of different complexities. In this paper, a review of a large variety of NIC techniques applied to solve the dynamic dispatch problem over the last decade has been summarized.

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Authors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology & Science, Gwalior, India

    Sunita Shukla & Manjaree Pandit

Authors
  1. Sunita Shukla
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  2. Manjaree Pandit
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Correspondence to Sunita Shukla .

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Editors and Affiliations

  1. Christ (Deemed to be University), Bengaluru, Karnataka, India

    Sandeep Kumar

  2. Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India

    Saroj Hiranwal

  3. Rajasthan Technical University, Kota, Rajasthan, India

    S. D. Purohit

  4. School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia

    Mukesh Prasad

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shukla, S., Pandit, M. (2023). An Overview of Recent Nature Inspired Computational Techniques for Dynamic Economic Dispatch. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_60

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