Advertisement

Multi-objective Environmental/Economic Dispatch Using the Bees Algorithm with Weighted Sum

  • Ji Young Lee
  • Ahmed Haj Darwish
Part of the Springer Proceedings in Physics book series (SPPHY, volume 124)

Abstract

This paper presents using the Bees Algorithm for Environmental/Economic power Dispatch problem which is formulated as a nonlinear constrained multi-objective optimisation problem. In this problem, both fuel cost and emission are to be simultaneously minimised. Simulation results presented for the standard IEEE 30-bus system using the Bees Algorithm with Weighted Sum are compared to other previous approaches and the comparison shows the superiority of the proposed Bees Algorithm and confirms its potential to solve the multi-objective EED problem.

Keywords

Fuel Cost Multiobjective Evolutionary Algorithm Strength Pareto Evolutionary Algorithm Flower Patch Niched Pareto Genetic Algorithm 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Ji Young Lee
    • 1
  • Ahmed Haj Darwish
    • 1
  1. 1.Manufacturing Engineering CentreCardiff UniversityCardiffUK

Personalised recommendations