Open AccessActive and Reactive Power Control of Dcig Wind Power System using Evolutionary Algorithm Based Fraction Order Controllers.
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1146.0486s419
Subject(s) - control theory (sociology) , wind power , convergence (economics) , stability (learning theory) , lift (data mining) , generator (circuit theory) , computer science , algorithm , engineering , power (physics) , control (management) , artificial intelligence , economics , electrical engineering , physics , quantum mechanics , machine learning , data mining , economic growth
This paper commences an exalted control scenario for Wind Energy Systems(WES) adopting Doubly Cater Induction Generator (DCIG) . A vigorous Ant Lion Optimizer(ALO) technique is assented with a Fractional Order PI assessor to optimize the powers and to lift the aggressive performance of WES[2][3]. The enforcement and adequacy of ALOFOPI assessor shows amusing countenance in terms of blather devaluation confined concurrence time and hefty against specifications[1]. The proposed ALOFOPI algorithm shows a great convergence and enhanced stability