Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{155625,
        author = {E.CHINNA SUNKAIAH and K. AMRUTHA and D. RAMEEJA and S. RESHMA and K. SRI VANI and G. NAGARJUNA},
        title = {A NOVEL NEUROFUZZY TOPOLOGY FOR GRID INTEGRATED WIND POWER GENERATION SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1303-1309},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155625},
        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.},
        keywords = {},
        month = {},
        }