Open AccessOptimization of wind energy conversion systems – an artificial intelligent approach
Author(s) -
Ying Ying Koay,
Jian Tan,
S. P. Koh,
K. H. Chong,
Sieh Kiong Tiong,
Janaka Ekanayake
Publication year - 2020
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v11.i2.pp1040-1046
Subject(s) - maximum power point tracking , maximum power principle , computer science , wind power , power (physics) , benchmarking , tracking (education) , energy (signal processing) , point (geometry) , control theory (sociology) , artificial intelligence , mathematics , engineering , control (management) , physics , electrical engineering , statistics , quantum mechanics , inverter , marketing , geometry , psychology , pedagogy , business
The environmentally friendly wind energy conversion system has become one of the most studied branches of sustainable energy. Like many other power generator, maximum power point tracking is an easy yet effective way to boost the efficiency of the conversion system. In this research, a modified Electromagnetism-like Mechanism Algorithm (EM) is proposed for the maximum power point tracking (MPPT) scheme of a micro-wind energy conversion system (WECS). In contrast with the random search steps used in a conventional EM, modified EM is enhanced with a Split, Probe, and Compare (SPC-EM) feature which ensures solutions with higher accuracies quicker by not having to scrutinize the search in details at the beginning stages of the iterations. Experiments and simulations are carried to test the SPC-EM in tracking the maximum power point under different wind profiles. Results indicate that the performance of the modified EM showed significant improvement over the conventional EM in the benchmarking. It can thus be concluded that based on the simulations, the SPC-EM performs well as an MPPT scheme in a micro-WECS.