Skip to main content

Directional Search Genetic Algorithm Applications to Economic Dispatch of Thermal Units

Buy Article:

$63.00 plus tax (Refund Policy)

This paper proposes a novel directional search genetic algorithm (DSGA) for solving the Economic Dispatch (ED) problem with fixed boundary conditions. In this paper, a new population generation technique has been employed by using Lambda Limits updation technique. The incremental cost of the generating unit is taken as the decision variable. The feasibility of the proposed method is demonstrated for three different systems, and is compared with various methods available in literature. The proposed algorithm works well for both small- and large-scale generating units and it remarkably reduces the computation time, number of iterations taken to converge, and population size.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Directional Search Genetic Algorithm (DSGA); Economic Dispatch (ED); Incremental cost; Lambda Limits updation technique; fixed boundary conditions

Document Type: Research Article

Affiliations: National Institute of Technology, Andhrapradesh, India

Publication date: 2008-07-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more