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Modelling Multiobjective Bilevel Programming for Environmental-Economic Power Generation and Dispatch Using Genetic Algorithm

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Book cover Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 776))

Abstract

This article describes a multiobjective bilevel programming (MOBLP) model to solve environmental-economic power generation and dispatch (EEPGD) problem through genetic algorithm (GA) based fuzzy goal programming (FGP) in a thermal power plant operational system. In MOBLP approach, first the objectives of problem are divided into two sets of objectives, and they are separately included at two hierarchical decision levels (top-level and bottom-level), where each level contains one or more controls variables associated with power generation decision system. Then, optimization problems of both the levels are described fuzzily to accommodate the impression arises with regard to optimizing them. In FGP model formulation, the membership functions associated with defined fuzzy goals are designed, and then they are converted into membership goals by assigning highest membership value (unity) as achievement level and introducing under- and over-deviational variables to each of them. In achievement function, minimization of under-deviational variables of membership goals according to weights of importance is considered to achieve optimal solution in decision environment. In the process of solving FGP model, a GA scheme is adopted at two stages, direct optimization of individual objectives at the first stage for fuzzy representation of them and, at the second stage, evaluation of goal achievement function to reach optimal power generation decision. The use of the proposed method is demonstrated via IEEE 30-bus system.

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Acknowledgements

The authors are thankful to the Reviewers and CICBA-2017 Program chairs for providing constructive suggestions to improve quality of presentation of the paper.

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Authors and Affiliations

  1. Narula Institute of Technology, Agarpara, West Bengal, India

    Debjani Chakraborti

  2. JIS College of Engineering, Kalyani, West Bengal, India

    Papun Biswas

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

    Bijay Baran Pal

Authors
  1. Debjani Chakraborti
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  2. Papun Biswas
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  3. Bijay Baran Pal
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Corresponding author

Correspondence to Bijay Baran Pal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Chakraborti, D., Biswas, P., Pal, B.B. (2017). Modelling Multiobjective Bilevel Programming for Environmental-Economic Power Generation and Dispatch Using Genetic Algorithm. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_33

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  • DOI: https://doi.org/10.1007/978-981-10-6430-2_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6429-6

  • Online ISBN: 978-981-10-6430-2

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