Showing 3 results for Ebadi
A. Ebadi, M. Mirzaie, S. A. Gholamian,
Volume 8, Issue 2 (June 2012)
Abstract
Induction motor is the most popular load in the industry, it is very important to
study about the effects of voltage quality on induction motor performance. One of the most
important voltage quality problems in power system is voltage unbalance. This paper
evaluates and compares two methods including finite element method (FEM) and
equivalent electrical circuit simulation for investigation of the effects of voltage unbalance
conditions on the performance of a three- phase induction motor. For this purpose, a threephase
squirrel cage induction motor is simulated using Finite Element Method and
equivalent electrical circuit parameters of the FEM model is estimated by genetic
algorithm. Then, some unbalanced voltages are applied on the FEM model of the Motor
and the resulted power and losses are compared with calculated values using equivalent
electrical circuit simulation in same voltage conditions.
Sh. Shirvani Moghaddam, Z. Ebadi, V. Tabataba Vakili,
Volume 11, Issue 1 (March 2015)
Abstract
In this paper, a new combination of Minimum Description Length (MDL) or Eigenvalue Gradient Method (EGM), Joint Approximate Diagonalization of Eigenmatrices (JADE) and Modified Forward-Backward Linear Prediction (MFBLP) algorithms is proposed which determines the number of non-coherent source groups and estimates the Direction Of Arrivals (DOAs) of coherent signals in each group. First, the MDL/EGM algorithm determines the number of non-coherent signal groups, and then the JADE algorithm estimates the generalized steering vectors considering white/colored Gaussian noise. Finally, the MFBLP algorithm is applied to estimate DOAs of coherent signals in each group. A new Normalized Root Mean Square Error (NRMSE) is also proposed that introduces a more realistic metric to compare the performance of DOA estimation methods. Simulation results show that the proposed algorithm can resolve sources regardless of QAM modulation size. In addition, simulations in white/colored Gaussian noises show that the proposed algorithm outperforms the JADE-MUSIC algorithm in a wide range of Signal to Noise Ratios (SNRs).
H. Afkar, M. A. Shamsi Nejad, M. Ebadian,
Volume 12, Issue 2 (June 2016)
Abstract
Load balancing is an important issue in distributed systems. In addition, using distributed generation sources such as photovoltaic is increasing. Power electronic converters are main interfaces between the sources and the grid. In this paper, a method has been proposed to reduce the load imbalancing in distribution networks using PV Grid Interface Converter. Two DC/DC and DC/AC converters have been utilized for connecting PV to the grid. A control strategy is presented which enables the converter to compensate the load imbalancing by injecting power of solar cells to the load and grid. Simulation results by MATLAB/SIMULINK software indicate the ability of the proposed control method to reduce the load imbalancing.
