Application of weighted ideal point method to environmental/economic load dispatch

  • Authors:

  • Guo-li Zhang;Geng-yin Li;Hong Xie;Jian-wei Ma

  • Affiliations:

  • Department of Applied Mathematics, North China Electric Power University, Baoding, China;Department of Applied Mathematics, North China Electric Power University, Baoding, China;Department of Electronic Engineering, Shanghai Maritime University, Shanghai, China;Department of Applied Mathematics, North China Electric Power University, Baoding, China

  • Venue:
  • ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
  • Year:
  • 2005

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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.