Harmony Search Algorithm with Opposition-Based Learning for Power System Economic Load Dispatch

Abstract:

A harmony search algorithm with opposition-based learning techniques (HS-OBL) to solve power system economic load dispatch has been presented. The proposed algorithm integrates the opposition-based learning operation with the improvisation process to prevent the HS-OBL algorithm from being trapped into the local optimum effectively. Besides, a new adjusting strategy is designed to dynamic adjust pitch adjusting rate (PAR) and harmony memory consideration rate (HMCR), which is to further improve the performance of algorithm. The HS-OBL is employed to solve 6 units and 13 units power system, the numerical results indicate that the HS-OBL has perform much better than harmony search(HS) algorithm and other improved algorithms that reported in recent literature.

• Periodical: Advanced Materials Research (Volumes 1065-1069)
• Pages: 3434-3437
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1065-1069.3434
• Online since: December 2014
• Authors: Yi Ning Zhang*
• Keywords: Harmony Search Algorithm, Opposition-Based Learning, Power System

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