Fault detection and classification in electrical power transmission system using artificial neural network. [PDF]
Jamil M, Sharma SK, Sharma SK, Singh R.
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The paper presents the possibility of using neuro-fuzzy adaptive controller in sensorless direct torque control structure DTC-SVM of the induction motor.
Derugo, P., Dybkowski, M.
core
Power quality control and design of power converter for variable-speed wind energy conversion system with permanent-magnet synchronous generator. [PDF]
Oğuz Y, Güney İ, Çalık H.
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Modeling, control, and simulation of battery storage photovoltaic-wave energy hybrid renewable power generation systems for island electrification in Malaysia. [PDF]
Samrat NH +3 more
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Frequency-Domain Analysis of Intrinsic Neuronal Properties using High-Resistant Electrodes. [PDF]
Rössert C +3 more
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A fast regulation algorithm for low voltage in regional grids with high uncertainty and high penetration of wind and solar loads at the grid end. [PDF]
Kang H +6 more
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Artificial neural network based hierarchical intelligent control framework for a residential microgrid. [PDF]
Bahabri MO, Ramdas SK, Banawi HA.
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Efficient energy management of a low-voltage AC microgrid with renewable and energy storage integration using nonlinear control. [PDF]
El Mezdi K +5 more
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Direct power control and back-stepping-based direct power control for dual-stator brushless doubly-fed wind power generator. [PDF]
Su X, Zhu L, Zhang F.
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Analiza rada elektroničkih energetskih pretvarača u programskom paketu Matlab-SimPowerSystems
Energetic transformers have wide usage nowadays and consist of series of electronic elements and energetic electronic frames. They usually include thyristors which perform management in quadrants, so according to the number of thyristors, it is possible to define stage of transformer's complexity, i.e. its mode.
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