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

  • Guo-li Zhang
  • Geng-yin Li
  • Hong Xie
  • Jian-wei Ma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

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.

Keywords

Fuzzy Number Pareto Optimal Solution Fuel Cost Independent System Operator Single Objective Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guo-li Zhang
    • 1
  • Geng-yin Li
    • 1
  • Hong Xie
    • 2
  • Jian-wei Ma
    • 1
  1. 1.Department of Applied MathematicsNorth China Electric Power UniversityBaodingChina
  2. 2.Department of Electronic EngineeringShanghai Maritime UniversityShanghaiChina

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