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Using Genetic Algorithm to Goal Programming Model of Solving Economic-Environmental Electric Power Generation Problem with Interval-Valued Target Goals

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Mathematical Modelling and Scientific Computation (ICMMSC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 283))

Abstract

This article presents how genetic algorithm (GA) method can be efficiently used to the goal programming (GP) formulation of Economic-Environmental Power Dispatch (EEPD) problem with target intervals in a power system operation and planning environment.

In the proposed approach, first the objectives of the problem, economic power generation and atmospheric emission reduction, are considered interval-valued goals in interval programming. Then, in the model formulation, the defined goals are converted into the standard goals in GP by using interval arithmetic technique [1].

In the solution process, an GA is introduced to reach the aspiration levels of the defined goals of the problem to the extent possible and thereby to arrive at a satisfactory decision in the decision making environment.

To illustrate the potential use of the approach, the problem is tested on IEEE 6-Generator 30-Bus System and the model solution is compared with the solutions obtained in the previous study.

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Author information

Authors and Affiliations

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

    Bijay Baran Pal

  2. Department of Electrical Engineering, JIS College of Engineering, Kalyani, 741235, West Bengal, India

    Papun Biswas

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, 741235, West Bengal, India

    Anirban Mukhopadhyay

Authors
  1. Bijay Baran Pal
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  2. Papun Biswas
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  3. Anirban Mukhopadhyay
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Editor information

Editors and Affiliations

  1. Department of Mathematics, Gandhigram Rural University, 624302, Gandhigram, Tamil Nadu, India

    P. Balasubramaniam

  2. Department of Mathematics, Gandhigram Rural Institute - Deemed University, 624302, Gandhigram, Tamil Nadu, India

    R. Uthayakumar

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Pal, B.B., Biswas, P., Mukhopadhyay, A. (2012). Using Genetic Algorithm to Goal Programming Model of Solving Economic-Environmental Electric Power Generation Problem with Interval-Valued Target Goals. In: Balasubramaniam, P., Uthayakumar, R. (eds) Mathematical Modelling and Scientific Computation. ICMMSC 2012. Communications in Computer and Information Science, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28926-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-28926-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28925-5

  • Online ISBN: 978-3-642-28926-2

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