Active and Reactive Powr Control of Dcig Wind Power System using Evolutionary Algorithm Based Fraction Order Controllers.
M.Vasavi Uma Maheswari1, P.V.Ramana Rao2
1M.Vasavi Uma Maheswari, Assistant Professor, College of Engineering & Technology Acharya Nagarjuna University Guntur, Andhra Pradesh (TamilNadu), India.
2P.V.Ramana Rao, Professor, College of Engineering & Technology Acharya Nagarjuna University Guntur, Andhra Pradesh (TamilNadu), India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 722-726 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11460486S419/19©BEIESP | DOI: 10.35940/ijitee.F1146.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Wind Energy Systems, Doubly Cater Induction Generator(DCIG), Ant Lion Optimizer(ALO), Fractional Order PI Assessor(FOPI), PI Assessor.
Scope of the Article: Energy Efficient Building Technology