Indirect adaptive neurofuzzy Hermite wavelet based control of PV in a grid-connected hybrid power system

Authors : Sidra MUMTAZ, Laiq KHAN

Pages : 4341-4353

View : 13 | Download : 8

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Owing to the evolution of the smart grid, the emergence of hybrid power systems insert ignore into journalissuearticles values(HPSs);, and the proliferation of plug-in-hybrid electric vehicles, the development of efficient and robust maximum power point tracking insert ignore into journalissuearticles values(MPPT); algorithms for renewable energy sources due to their inherent intermittent nature has overwhelmed the power industry. In this paper, an incremental conductance insert ignore into journalissuearticles values(IC); based Hermite wavelet incorporated neurofuzzy indirect adaptive MPPT control paradigm for a photovoltaic insert ignore into journalissuearticles values(PV); system in a grid-connected HPS is proposed. The performance of the proposed adaptive Hermite wavelet incorporated neurofuzzy MPPT control paradigm is validated through a comprehensive grid-connected HPS test-bed developed in MATLAB$\backslash $Simulink by comparison with an IC based adaptive indirect neurofuzzy Takagi-Sugeno-Kang insert ignore into journalissuearticles values(TSK); control scheme, IC based adaptive direct neurofuzzy TSK control system, IC based adaptive proportional-integral-derivative insert ignore into journalissuearticles values(adapPID); control scheme, and IC algorithm for PV systems.
Keywords : Photovoltaic, maximum power point tracking, neurofuzzy, Hermite wavelet, hybrid power system