4.6 Article

An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems

Journal

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2012.08.021

Keywords

Economic load dispatch problem; Harmony search; Differential evolution; Constraint handling

Funding

  1. National Key Basic Research and Development Program of China [2013CB329503, 2009CB320602]
  2. National Science Foundation of China [60834004, 61174189]
  3. Doctoral Program Foundation of Institutions of Higher Education of China [20100002110014]
  4. National Science and Technology Major Project of China [2011ZX02504-008]

Ask authors/readers for more resources

Solving the non-convex economic load dispatch (ELD) problem with evolutionary algorithms has gained increasing research in recent years. In this paper, a differential harmony search (DHS) algorithm is proposed by combining the mechanisms of both differential evolution and harmony search. In the DHS, the pitch adjustment operation is cooperated with the different mutation operation to enhance the exploitation ability of harmony search, and both the memory consideration and the pitch adjustment are used to enhance the exploration ability of evolution search. In addition, a repair procedure and three simple selection rules are proposed for constraint handling. Numerical simulations are carried out based on different kinds of testing problems with various constraints including valve point effects, multi-fuels, ramp rate limit and prohibited operation zones. Simulation results and comparisons with the some existing algorithms demonstrate the effectiveness, efficiency and robustness of the proposed DHS algorithm. Finally, the effect of parameter setting on the OHS is investigated as well. (C) 2012 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available