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Application of Weighted Ideal Point Method to Environmental/Economic Load Dispatch

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Advances in Machine Learning and Cybernetics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3930))

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Abstract

This paper proposes a novel environmental/economic load dispatch model by considering the fuel cost and emissionfunctions with uncertain co-efficients and the constraints of a ramp rate. The uncertain coefficients are represented by fuzzy numbers, and the model is known as fuzzy dynamic environmental/economic load dispatch (FDEELD) model. A novel weighted ideal point method (WIPM) is developed to solve the FDEELD problem. The FDEELD problem is first converted into a single objective fuzzy nonlinear programming by using the WIPM. A hybrid evolutionary algorithm with quasi-simplex techniques is then used to solve the corresponding single objective optimization problem. A method of disposing constraint and a fuzzy number ranking method are also applied to compare fuzzy weighted objective function values of different points. Experimental results show that FDEELD model is more practical; the algorithm and techniques proposed are efficient to solve FDEELD problems.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics, North China Electric Power University, 071003, Baoding, China

    Guo-li Zhang, Geng-yin Li & Jian-wei Ma

  2. Department of Electronic Engineering, Shanghai Maritime University, 200135, Shanghai, China

    Hong Xie

Authors
  1. Guo-li Zhang
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  2. Geng-yin Li
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  3. Hong Xie
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  4. Jian-wei Ma
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Editor information

Editors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, P.O. Box, Hong Kong, China

    Daniel S. Yeung

  2. School of Creative Media, City University of Hong Kong,, China

    Zhi-Qiang Liu

  3. Department of Mathematics and Computer Science, Hebei University, 071002, Baoding, Hebei, P.R. China

    Xi-Zhao Wang

  4. School of Electrical and Information Engineering, University of Sydney, 2006, NSW, Australia

    Hong Yan

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhang, Gl., Li, Gy., Xie, H., Ma, Jw. (2006). Application of Weighted Ideal Point Method to Environmental/Economic Load Dispatch. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_46

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  • DOI: https://doi.org/10.1007/11739685_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33584-9

  • Online ISBN: 978-3-540-33585-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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