Volume 16, Issue 4 (December 2020)  

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Abstract (499 Views) | Full-Text (PDF) (155 Downloads)   |   Highlights
  • The proposed method demonstrates the least propagation delay among all of the previously reported MRF-based methods.
  • This is the first work that achieves high levels of noise immunity with considerably low cost, delay, and power consumption.
  • We introduce the feedback inherency notion into the MRF-based logic gates’ design.
  • The proposed method shows the least cost, delay, and power in comparison with competing methods that have comparable noise immunity.

Abstract (509 Views) | Full-Text (PDF) (209 Downloads)   |   Highlights
  • Introducing a new modified particle filter.
  • Using an adaptive unscented Kalman filter (AUKF) filter to generate the proposal distribution.
  • Online tuning the covariance of the measurement and process of the state by predicted residual as adaptive factor based on a covariance matching technique.
  • Using the genetic operators based strategy to further improve the particle diversity.

Abstract (1484 Views) | Full-Text (PDF) (289 Downloads)   |   Highlights
  • To develop a multi-physics simulation model for multi-layer switched reluctance motor
  • To propose a comprehensive electromagnetic simulation model for this motor
  • To introduce thermal and noise models based on 3D finite element method for this motor    
  • To present a parametric simulation model useful for doing an accurate analysis    

Abstract (181 Views) | Full-Text (PDF) (123 Downloads)   |   Highlights
  • The hybrid AC-DC microgrid is the most dependable microgrid configuration as compared to DC and AC microgrids as it reduces multiple power conversions for the user and offers better power quality and reliability.
  • In this article, the power management of a hybrid power system involving PV array, wind system, and fuel cell with battery is investigated in hybrid AC-DC microgrid architecture.
  • The virtues and shortcomings of operating the system in the proposed configuration are evaluated under different scenarios.

Abstract (250 Views) | Full-Text (PDF) (79 Downloads)   |   Highlights
  • In this paper, to reduce the leakage current in a grid-connected photovoltaic (PV) system, an improved unipolar PWM (UPWM) Modulation is proposed.
  • To extract the maximum power point, the model predictive control (MPC) strategy is applied.
  • Moreover, a study about the grid-connected PV system by using the conventional full-bridge inverters with two bipolar and unipolar PWM techniques has been done in this paper.
  • a new control method is proposed.
  • To prove the correct performance of H6 FB topology with the MPC technique and the proposed control method for achieving the MPP, the simulation results performed in PSCAD software will be used.

Abstract (611 Views) | Full-Text (PDF) (217 Downloads)   |   Highlights
  • A novel non-communication-based intelligent islanding detection scheme is proposed which is based on an effective simple digital filter being robust to the environmental noises.
  • In the proposed algorithm, the points of the signal (such as voltage, active power, etc.) with an irregularity are highlighted and, then be used for islanding detection.
  • To improve the performance of the proposed scheme, the separability index has been used to select the most valuable features.
  • The proposed scheme is capable of islanding detection in synchronous-based distributed generation systems in situations with the least exchanged power between the DG resources and the distribution system.

Abstract (342 Views) | Full-Text (PDF) (159 Downloads)   |   Highlights
  • The backstepping technique combines the notion of Control Lyapunov Function (CLF) with a recursive design procedure. This overcomes the dimension obstacle and exploits design flexibility in the scalar case to solve control problems for higher-order systems.
  • In backstepping design, no constraint is imposed on the nonlinear characteristic of the system.
  • The effectiveness of the backstepping technique is manifest in the presence of parametric uncertainties of the system.

Abstract (530 Views) | Full-Text (PDF) (165 Downloads)   |   Highlights
  • The load variations in the time interval between two consecutive measurements and their transmission time to the SCADA are considered and the equation of error in the traditional WLS method is corrected.
  • Modifying the mean value and standard deviation employed in the ADSSE process which has led to improved state estimation accuracy.
  • Correction of the error covariance matrix in each iteration which increases the accuracy of the estimation.
  • There is no need to form the Gain matrix in each iteration, which increases the processing speed.

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© 2020 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.