Hybrid sliding neural network controller of a direct driven vertical axis wind turbine

Abstract

This study aims to propose a robust hybrid sliding mode artificial neural network control (SM-ANN) scheme for controlling the stator power (active/reactive) of a doubly fed induction generator (DFIG)-based direct drive vertical axis wind turbine (VAWT) power system under a real-world scenario wind speed that will be installed in the Adrar region (Saharan zone) of Algeria. The SM-ANN scheme will control the stator power of the direct drive VAWT power. The chattering phenomenon is the most significant disadvantage associated with sliding mode control (SMC). In order to find a solution to this issue, the artificial neural network (ANN) method was applied to pick the appealing part of the SMC. MATLAB/Simulink is used to do an evaluation, after which the SM-ANN controller being suggested is compared to both traditional sliding mode (SM) and proportional-integral (PI) controllers. The results of the simulation demonstrated that the recommended SM-ANN controller has good performance in terms of enhancing the quality of energy that is delivered to the power network. This is in comparison to the traditional SM and PI controllers, which both have a long history of use. Notwithstanding the fact that there is DFIG parameter fluctuation present.

Maximum allowable hp rating of 3-phase induction motor fed through a stand-alone constant V/f controlled DFIG via RSC

“…Also, it demonstrates that if the rotor voltage is limited to 0.4 pu according to RSC voltage capacity limit, the maximum operating rotor slip should be within ± 0.3 pu at 50 Hz and within ± 1.5 pu at 10 Hz. The RSC nominal apparent power obtained according to the rotor current and voltage limits which is usually about 30% of the generator nominal power [5], [34], [35]. Due to the load reactive power requirements from the DFIG, the power rating of RSC must be increased [36].…”

Fractional order sliding mode control for power quality improvement in the distribution system

“…Grid harmonics are a very serious problem in distribution, for compensation grid harmonics authors implemented neural-network-based SMC. The presented technique effectively eliminated grid harmonics [2]. The oscillations are one the serious problem in wind farm-based distribution systems, for eliminating this oscillation the authors presented FOSMC-based DSTATCOM.…”

A unified power flow controller-based robust damping controller considering time delay in electrical power systems

“…When interregional modes are stimulated, power transfer between regions, including generators, will be limited. With the increase in connections and energy exchange in electric networks, the low-frequency fluctuations between regions will be weakly damped, and the stability of the power system will become one of the concerns of power industry specialists [10]- [16]. Major disturbances have caused challenging fluctuations in power grids around the world: 0.6 Hz in the Hydro-Québec system, 0.2 Hz in the Northwestern American national network, 0.15 Hz-0.25 Hz in Brazil, and 0.19 Hz-0.36 Hz in the UCTE-Central European connections.…”