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Information Systems Design and Intelligent Applications pp 419–434Cite as

A Hierarchical Optimization Method to Solve Environmental-Economic Power Generation and Dispatch Problem with Fuzzy Data Uncertainty

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

This paper presents how the hierarchical decision structure can be effectively used for modeling and solving an environmental-economic thermal power generation and dispatch problems in a fuzzy decision environment. In the proposed approach, minimization of the functions of fuel-cost, environmental-emission and transmission-loss are considered at the three hierarchical levels to solve the problem within a power plant operational system. In the model formulation, a priority based linear fuzzy goal programming (LFGP) method is employed to achieve the highest membership value (unity) of the defined fuzzy goals to the extent possible on the basis of priorities in the decision making horizon. To illustrate the effective use of the approach, the problem of standard IEEE 6-Generator 30-Bus System is considered.

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Acknowledgments

The authors would like to thank the Editors and anonymous Reviewers for their useful suggestions for improving the quality of presentation of the paper.

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Authors and Affiliations

  1. Department of Mathematics, University of Kalyani, Kalyani, 741235, West Bengal, India

    Bijay Baran Pal

  2. Department of Mathematics, Alipurduar College, Alipurduar, 736122, West Bengal, India

    Mousumi Kumar

Authors
  1. Bijay Baran Pal
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  2. Mousumi Kumar
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Corresponding author

Correspondence to Mousumi Kumar .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Pal, B.B., Kumar, M. (2015). A Hierarchical Optimization Method to Solve Environmental-Economic Power Generation and Dispatch Problem with Fuzzy Data Uncertainty. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_42

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_42

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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