A NOVEL NEUROFUZZY TOPOLOGY FOR GRID INTEGRATED WIND POWER GENERATION SYSTEM

A NOVEL NEUROFUZZY TOPOLOGY FOR GRID INTEGRATED WIND POWER GENERATION SYSTEM
Author(s):
E.CHINNA SUNKAIAH, K. AMRUTHA, D. RAMEEJA, S. RESHMA, K. SRI VANI, G. NAGARJUNA
Keywords:

Abstract
This Thesis presents the design of a dc grid-based wind power generation system in small firms. The proposed system of hybrid Neuro-Fuzzy control allows flexible operation of multiple parallel-connected wind generators by eliminating the need for voltage and frequency synchronization. A model predictive control algorithm that offers better transient response with respect to the changes in the operating conditions is proposed for the control of the inverters. The design concept is verified through various test scenarios to demonstrate the operational capability of the proposed micro grid when it operates connected to and islanded from the distribution grid, and the results obtained are discussed.
Article Details
Unique Paper ID: 155625 Publication Volume & Issue: Volume 9, Issue 1 Page(s): 1303 - 1309
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NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

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