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Kazem Pourhossein
Islamic Azad University
Power optimizerRenewable energyTurbineElectricity generationWind power
2Publications
1H-index
5Citations
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Publications 10
Newest
#1Arash MoradzadehH-Index: 1
#2Omid SadeghianH-Index: 2
Last. Amjad Anvari-MoghaddamH-Index: 14
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The useful planning and operation of the energy system requires a sustainability assessment of the system, in which the load model adopted is the most important factor in sustainability assessment. Having information about energy consumption patterns of the appliances allows consumers to manage their energy consumption efficiently. Non-intrusive load monitoring (NILM) is an effective tool to recognize power consumption patterns from the measured data in meters. In this paper, an unsupervised app...
2 CitationsSource
#1Arash Moradzadeh (IAU: Islamic Azad University)H-Index: 1
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
In this paper, disk space variations (DSV) as one of common transformer winding defects, has been practically applied to a transformer winding in some specific locations and with various extents. To locate DSV faults, Convolutional neural networks (CNN) has been applied to frequency response traces of the tested winding. It has been presented that the proposed method has accurate fault location capability. Convolutional Neural Networks was utilized to extract important features from frequency re...
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#1Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
#2Meysam Asadi (IAU: Islamic Azad University)
Solar energy, individually, can provide all energy needs of the earth. Photovoltaic (PV) converters become better and better year by year from technical and economic viewpoints. Thus, they are going to provide a major portion of electrical energy, worldwide. PV panels may confront various anomalies in production stage or in operation. Therefore, these defects must be diagnosed in a timely manner. This paper proposes an equivalent circuit approach to detect abnormal behavior in PV panels. Any cla...
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#1Arash Moradzadeh (IAU: Islamic Azad University)H-Index: 1
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
Turn-to-turn short circuit fault is one of the most important failures in transformer windings. Turn-to-Turn fault can be occurred due to removal of insulation between winding turns. Early detection of Turn-to-Turn fault (high impedance short circuit) can prevent a direct short circuit. Frequency Response Analysis (FRA) as a well-known method, introduced for transformer winding mechanical defect recognition, is able to recognize the turn-to-turn fault potential but its interpretation to detect e...
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#1Arash Moradzadeh (IAU: Islamic Azad University)H-Index: 1
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
Turn-to-turn insulations of transformer windings may degrade gradually because of mechanical forces, thermal stresses or chemical corrosion. Degradation decreases impedances of inter-turn insulations that finally may lead to a solid turn-to-turn short circuit. In this paper, early detection of turn-to-turn faults in transformers windings has been studied, in its high-impedance stage, using Artificial Neural Networks (ANN) based on its Frequency Response (FR). For this purpose, a model winding ha...
1 CitationsSource
#1Meysam Asadi (IAU: Islamic Azad University)
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
Nowadays, the advancement of technology is directly related to energy demand. The largest share of energy production comes from fossil fuels but they will be replaced by renewable energy due to their environmental damage and their limited availability. Wind energy is one of the most important sources of renewable energy. Despite merits of wind energy, dependence between production efficiency and location of the wind power plant is its main drawback. Therefore, proper sitting of wind power plants...
Source
#1Arash Moradzadeh (IAU: Islamic Azad University)H-Index: 1
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
A turn-to-turn short circuit fault is One of the most important defects in transformer windings that is most difficult to diagnosis. Degradation decreases impedances of inter-turn insulations that finally may lead to a solid turn-to-turn short circuit. In this paper, early detection of turn-to-turn faults in transformers windings has been studied, in its high-impedance stage, using Convolutional Neural Network (CNN) based on extracting features from frequency response traces. For this purpose, a...
1 CitationsSource
#1Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
#2Meysam Asadi (IAU: Islamic Azad University)
Solar irradiation is the main energy source which can sustainably provide all of energy needs on the earth. Because of fast progress in direct conversion of solar energy to electricity, photovoltaic (PV) converters are going to become major devices to supply world energy requirements. Similar to other electricity generators, PV panels may be defected in production stage or in the field. Thus, it is necessary to detect these defects as soon as possible. This paper proposes a frequency domain appr...
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#1Mohammadreza Akrami (IAU: Islamic Azad University)H-Index: 1
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
Abstract This paper presents a new reconfiguration procedure, named power comparison technique (PCT), to extract maximum power from photovoltaic arrays. PCT introduces optimum configuration and maximum power point (MPP) of photovoltaic arrays in partial shading conditions. PCT finds absolute MPP and its corresponding configuration via comparing whole peaks of power-voltage (P-V) curve of a photovoltaic (PV) array. This will ensure that the right-hand peaks of absolute MPP have been removed. This...
5 CitationsSource
#1Hamed Rahimi Shateranlou (IAU: Islamic Azad University)
#2Kazem Pourhossein (IAU: Islamic Azad University)H-Index: 1
Disadvantages of electrical energy generation by fossil fuels, beside renewable energy benefits, cause the growth of this form of power generation. Among various forms of renewable energies, wind energy have had a significant growth in recent years. Wind turbines convert kinetic energy of air particles to electricity. Due to changes in wind characteristics based on global wind regime, local wind regime, and also terrain in any geographical area, each turbine cannot be exploited optimally in ever...
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