International Journal of Applied Mathematics and Machine LearningAuthor's: K. Lenin, B. Ravindhranath Reddy and M. Surya Kalavathi
Pages: [163] - [175]
Received Date: December 12, 2015
Submitted by: Li Li.
DOI: http://dx.doi.org/10.18642/ijamml_7100121602
In this paper, an Aeshnidae Algorithm (AA) is used to solve optimal reactive power problem. The key inducement of the aeshnidae algorithm (AA) instigate from static and dynamic swarming behaviours. These two swarming behaviours are very alike to the two key phases of optimization using meta-heuristics: exploration and exploitation. Aeshnidae generate sub swarms and fly over diverse areas in a static swarm, which is the key objective of the exploration phase. In the static swarm, however, aeshnidae fly in bigger swarms and along one direction, which is favourable in the exploitation phase. In this proposed aeshnidae algorithm, two essential phases of optimization, exploration and exploitation, are designed by modelling the social interaction of aeshnidae in navigating, searching for foods, and avoiding enemies when swarming dynamically or statistically. The projected aeshnidae algorithm (AA) has been tested in standard IEEE 30 bus test system and simulation results show clearly about the enhanced performance of the projected algorithm in tumbling the real power loss.
aeshnidae algorithm, optimization, optimal reactive power, transmission loss.
