Abstract

Dynamic voltage restorers (DVRs) are one of the effective solutions to regulate the voltage of power systems and protect sensitive loads against voltage disturbances, such as voltage sags, voltage fluctuations, et cetera. The performance of voltage compensation with DVRs relies on the robustness to the power quality disturbances and rapid detection of voltage disturbances. In this paper, the recurrent wavelet fuzzy neural network (RWFNN)-based controller for the DVR is developed. With positive-sequence voltage analysis, the reference signal for the DVR compensation can be accurately obtained. In order to enhance the response time for the DVR controller, the RWFNN is introduced due to the merits of rapid convergence and superior dynamic modeling behavior. From the experimental results with the OPAL-RT real-time simulator (OP4510, OPAL-RT Technologies Inc., Montreal, Quebec, Canada), the effectiveness of proposed controller can be verified.

Highlights

  • With the widespread use of electronics devices and renewable energy in the power system, the requirement for power quality has become one of the important issues in the development of the smart grid

  • The architecture of proposed recurrent wavelet fuzzy neural network (RWFNN)-based Dynamic voltage restorers (DVRs) is depicted in Figure 1, where the energy storage system (ESS) provides the compensation voltage through the voltage source converter (VSC) controlled with sinusoidal pulse width modulation (SPWM), LC filter, and the coupling transformer connected in series with the power grid

  • The RMS [7,14], synchronous reference frame (SRF) [1,15], and proposed RWFNN controllers are realized on the digital signal processor Texas Instruments TMS320F28335 for comparison and the observation signals are transferred to the scope

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Summary

Introduction

With the widespread use of electronics devices and renewable energy in the power system, the requirement for power quality has become one of the important issues in the development of the smart grid. The passive filter combines the passive components such as resistors, inductors, and capacitors to tune the suitable frequency band and filters the voltage disturbances. In this way, the values of the inductor and the capacitor are chosen to present low impedance to the corresponding frequency that is to be filtered out. The active filter regulates the grid voltage by sampling the distorted voltage, calculating the compensation component, generating the regulated voltage with the compensated magnitude, frequency composition, and phase shift from a power source, and regulating the voltage at PCC through the power electronic switching device [5]. The main advantage of active filters over passive filters is that active filters can respond to the changing load and power quality conditions, Energies 2020, 13, 6242; doi:10.3390/en13236242 www.mdpi.com/journal/energies

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