Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803231
L. Czumbil, D. Micu, D. Şteţ, A. Ceclan
An artificial intelligence (AI) based approach has been applied in order to investigate the electromagnetic interference problems between high voltage overhead power lines (HV OPL) and nearby underground metallic pipelines (MP). The implemented artificial neural network (ANN) solution evaluates the inductive coupling matrix describing the OPL-MP electromagnetic interference problem in case of different problem geometries and multi-layer soil structures. The ANN provided results were compared to data obtained through a finite element method (FEM) based analysis, considered as reference. This artificial intelligence technique, proposed by the authors, has the advantage of a simplified mathematical solver compared to FEM, and implicitly a lower required computing time. Finally the ANN provided inductive coupling data was used to evaluate the induced AC currents and voltages induced in an underground gas pipeline.
{"title":"A neural network approach for the inductive coupling between overhead power lines and nearby metallic pipelines","authors":"L. Czumbil, D. Micu, D. Şteţ, A. Ceclan","doi":"10.1109/ISFEE.2016.7803231","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803231","url":null,"abstract":"An artificial intelligence (AI) based approach has been applied in order to investigate the electromagnetic interference problems between high voltage overhead power lines (HV OPL) and nearby underground metallic pipelines (MP). The implemented artificial neural network (ANN) solution evaluates the inductive coupling matrix describing the OPL-MP electromagnetic interference problem in case of different problem geometries and multi-layer soil structures. The ANN provided results were compared to data obtained through a finite element method (FEM) based analysis, considered as reference. This artificial intelligence technique, proposed by the authors, has the advantage of a simplified mathematical solver compared to FEM, and implicitly a lower required computing time. Finally the ANN provided inductive coupling data was used to evaluate the induced AC currents and voltages induced in an underground gas pipeline.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129950417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803208
Osama Q. Al-Thahab
The recognition of seven recorded words in this paper is proposed by using a Radon and Discrete Cosine Transforms. The Radon Transform is used to reorder the data input with a new shape so that each voice maintain the same number of samples approximately, while the second frequency transform is used to minimize the dimensions of each audio signal to a small number of samples. The goal of this method is to rise the number of recognized audio signals and consequently increasing the database. The learning rule of Delta Neural Network is used for recognition with the assistance of multi neurons of a single layer such that the number of audio signals (recorded words) are coincide the number of neurons. The results will be compared based on the learning speed. The proposed system also examined by a test audio signal. Here, seven different words are recorded. Eight different persons (men and women) recorded these different words, so that there are 56 audio signal. Each eight signals belongs to the selfsame word; consequently, the outputs of these eight audio signals are the same.
{"title":"Speech recognition based Radon-Discrete Cosine Transforms by Delta Neural Network learning rule","authors":"Osama Q. Al-Thahab","doi":"10.1109/ISFEE.2016.7803208","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803208","url":null,"abstract":"The recognition of seven recorded words in this paper is proposed by using a Radon and Discrete Cosine Transforms. The Radon Transform is used to reorder the data input with a new shape so that each voice maintain the same number of samples approximately, while the second frequency transform is used to minimize the dimensions of each audio signal to a small number of samples. The goal of this method is to rise the number of recognized audio signals and consequently increasing the database. The learning rule of Delta Neural Network is used for recognition with the assistance of multi neurons of a single layer such that the number of audio signals (recorded words) are coincide the number of neurons. The results will be compared based on the learning speed. The proposed system also examined by a test audio signal. Here, seven different words are recorded. Eight different persons (men and women) recorded these different words, so that there are 56 audio signal. Each eight signals belongs to the selfsame word; consequently, the outputs of these eight audio signals are the same.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129834278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803218
Milad Gheydi, P. Farhadi, R. Ghafari
In this paper, a model is proposed for operation of a microgrid considering non-operational production, i.e. wind turbines and solar system, and energy storage system as well as customers. This microgrid is capable of bilateral exchange of energy with upstream network. In addition, in this mircorgrid, there exist two general types of controllable and non-controllable loads. For the former types, by proposing operational models and new control, their amount of consumption is varied based on wind turbine and solar radiation intermittence, upstream system price, and customers' welfare level or the consumption amount is transferred to another time. This control performance leads to rewards and/or penalties in consumed power prices. For this optimization program, an objective function from the microgrid manager's viewpoint is extracted and is maximized using particle swarm optimization. Finally, optimal operational schedule is suggested for a sample microgrid and the results of simulation are analyzed and compared to consider load control programs in its operation.
{"title":"The effect of demand response on operation of smart home energy system with renewable energy resources","authors":"Milad Gheydi, P. Farhadi, R. Ghafari","doi":"10.1109/ISFEE.2016.7803218","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803218","url":null,"abstract":"In this paper, a model is proposed for operation of a microgrid considering non-operational production, i.e. wind turbines and solar system, and energy storage system as well as customers. This microgrid is capable of bilateral exchange of energy with upstream network. In addition, in this mircorgrid, there exist two general types of controllable and non-controllable loads. For the former types, by proposing operational models and new control, their amount of consumption is varied based on wind turbine and solar radiation intermittence, upstream system price, and customers' welfare level or the consumption amount is transferred to another time. This control performance leads to rewards and/or penalties in consumed power prices. For this optimization program, an objective function from the microgrid manager's viewpoint is extracted and is maximized using particle swarm optimization. Finally, optimal operational schedule is suggested for a sample microgrid and the results of simulation are analyzed and compared to consider load control programs in its operation.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122846697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803170
Frederik Soetaert, L. Dupré, G. Crevecoeur
Magnetic nanoparticle hyperthermia is an alternative cancer treatment where magnetic nanoparticles are delivered to the tumor. The magnetization response due to an alternating magnetic field causes the magnetic nanoparticles to act as a heating power source and thermally damage the tumor cells. The heating capability of magnetic nanoparticles depends on their relaxation losses and thus on their material properties. Heat transfer in biological tissues on the other hand depends on the material properties of the biological tissue, as well as the spatial distribution of the magnetic nanoparticles. This paper presents an efficient numerical calculation method for assessing the temperature distribution in biological tissue when considering magnetic nanoparticles and biological tissues with specified material properties. We firstly investigate the effect of polydisperse magnetite and maghemite magnetic nanoparticles distributions on the temperature. We furthermore study the influence of the spatial spread of the magnetic nanoparticles inside the tumor on the temperature distribution and the associated thermal damage. The proposed numerical methodology is able to predict temperature elevations in biological tissues due to magnetic nanoparticle hyperthermia and can constitute an important component for model-based optimization of magnetic nanoparticle hyperthermia.
{"title":"Computational analysis of the effect of superparamagnetic nanoparticle properties on bioheat transfer in magnetic nanoparticle hyperthermia","authors":"Frederik Soetaert, L. Dupré, G. Crevecoeur","doi":"10.1109/ISFEE.2016.7803170","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803170","url":null,"abstract":"Magnetic nanoparticle hyperthermia is an alternative cancer treatment where magnetic nanoparticles are delivered to the tumor. The magnetization response due to an alternating magnetic field causes the magnetic nanoparticles to act as a heating power source and thermally damage the tumor cells. The heating capability of magnetic nanoparticles depends on their relaxation losses and thus on their material properties. Heat transfer in biological tissues on the other hand depends on the material properties of the biological tissue, as well as the spatial distribution of the magnetic nanoparticles. This paper presents an efficient numerical calculation method for assessing the temperature distribution in biological tissue when considering magnetic nanoparticles and biological tissues with specified material properties. We firstly investigate the effect of polydisperse magnetite and maghemite magnetic nanoparticles distributions on the temperature. We furthermore study the influence of the spatial spread of the magnetic nanoparticles inside the tumor on the temperature distribution and the associated thermal damage. The proposed numerical methodology is able to predict temperature elevations in biological tissues due to magnetic nanoparticle hyperthermia and can constitute an important component for model-based optimization of magnetic nanoparticle hyperthermia.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"8 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803211
P. Farhadi, Nesa Khandoozi, N. Ghorbani
In this paper, recently proposed and promising exchange market algorithms as one of the evolutionary optimization approaches is employed on optimal capacitor banks' placement in a practical distribution network. The aim of parallel capacitor placement in distribution systems is to improve voltage profile and reduce real power losses. The codes of simulations have been written in MATLAB environment. The test system is realistic 37-bus MeshkinShahr City distribution network in northwest of Iran. Simulation results obtained have been compared to those achieved by differential evolutionary algorithm, revealing its superiority over its predecessors.
{"title":"Practical installation of capacitor banks by exchange market algorithm","authors":"P. Farhadi, Nesa Khandoozi, N. Ghorbani","doi":"10.1109/ISFEE.2016.7803211","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803211","url":null,"abstract":"In this paper, recently proposed and promising exchange market algorithms as one of the evolutionary optimization approaches is employed on optimal capacitor banks' placement in a practical distribution network. The aim of parallel capacitor placement in distribution systems is to improve voltage profile and reduce real power losses. The codes of simulations have been written in MATLAB environment. The test system is realistic 37-bus MeshkinShahr City distribution network in northwest of Iran. Simulation results obtained have been compared to those achieved by differential evolutionary algorithm, revealing its superiority over its predecessors.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130841399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803196
Tian‐Hua Liu, Hade Saputra Haslim, Shao-Kai Tseng
This paper proposes a PI current-loop controller and a predictive speed-loop controller for a synchronous reluctance drive system. To demonstrate the viability, a 560 W synchronous reluctance drive system, controlled by a TMS-320-F-28335 DSP, is implemented. Experimental results clearly show that the system offers satisfactory performance. It can be applied for industry due to its simplicity.
{"title":"Predictive speed-loop controller design for a synchronous reluctance drive system","authors":"Tian‐Hua Liu, Hade Saputra Haslim, Shao-Kai Tseng","doi":"10.1109/ISFEE.2016.7803196","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803196","url":null,"abstract":"This paper proposes a PI current-loop controller and a predictive speed-loop controller for a synchronous reluctance drive system. To demonstrate the viability, a 560 W synchronous reluctance drive system, controlled by a TMS-320-F-28335 DSP, is implemented. Experimental results clearly show that the system offers satisfactory performance. It can be applied for industry due to its simplicity.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123588190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803233
L. Pierrat, E. Helerea
The large electric power systems are critical infrastructures whose failure can have detrimental socio-economical consequences. The voltage collapse phenomenon leads generally to a partial or total black-out of the power network and it is necessary to restore it as soon as possible. We present a stochastic model for the restoration time having a minimal number of parameters. This model leads to an efficiency criterion that permits to compare real incidents related to diverse power networks.
{"title":"A new stochastic criterion of restoration time after collapse of a large power network","authors":"L. Pierrat, E. Helerea","doi":"10.1109/ISFEE.2016.7803233","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803233","url":null,"abstract":"The large electric power systems are critical infrastructures whose failure can have detrimental socio-economical consequences. The voltage collapse phenomenon leads generally to a partial or total black-out of the power network and it is necessary to restore it as soon as possible. We present a stochastic model for the restoration time having a minimal number of parameters. This model leads to an efficiency criterion that permits to compare real incidents related to diverse power networks.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115039400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803209
D. Toader, C. Blaj, V. Vlad
The paper presents analytical, experimental and numerical calculation, for the magnetic field produced by current passing through one-layer multi conductor power cable. The aluminum helical turns have the thickness (diameter) comparable to the winding radius. For the calculation of the parameters of the power cable was taken into account the magnetic field in the iron (steel) core, the central wire. The radius and the parameters of the helical shape of the aluminum conductors were also taken into account for a more accurate calculation.
{"title":"Influence on the magnetic flux of the iron core of one-layer power cable","authors":"D. Toader, C. Blaj, V. Vlad","doi":"10.1109/ISFEE.2016.7803209","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803209","url":null,"abstract":"The paper presents analytical, experimental and numerical calculation, for the magnetic field produced by current passing through one-layer multi conductor power cable. The aluminum helical turns have the thickness (diameter) comparable to the winding radius. For the calculation of the parameters of the power cable was taken into account the magnetic field in the iron (steel) core, the central wire. The radius and the parameters of the helical shape of the aluminum conductors were also taken into account for a more accurate calculation.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122970494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803238
M. Sarajlić, J. Pihler
This paper describes the designing of a medium voltage post insulator. The existing model of the insulator and examples of the insulator with lower and higher number of an insulator ribs is shown. The influence of different number of insulator ribs on the electric field is shown and the comparison of the insulator electric field strength is made between insulators with different number of ribs. In the designing of the insulator, the allowable values of electric field strength, that are defined with a standard, have to be achieved inside and nearby insulator. MATLAB software was used to design the insulator model. Calculations of electric field were in EleFAnT software. The optimization process was used to find the optimal number of insulator ribs.
{"title":"The influence of the number of ribs of a medium voltage post insulator on the electric field","authors":"M. Sarajlić, J. Pihler","doi":"10.1109/ISFEE.2016.7803238","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803238","url":null,"abstract":"This paper describes the designing of a medium voltage post insulator. The existing model of the insulator and examples of the insulator with lower and higher number of an insulator ribs is shown. The influence of different number of insulator ribs on the electric field is shown and the comparison of the insulator electric field strength is made between insulators with different number of ribs. In the designing of the insulator, the allowable values of electric field strength, that are defined with a standard, have to be achieved inside and nearby insulator. MATLAB software was used to design the insulator model. Calculations of electric field were in EleFAnT software. The optimization process was used to find the optimal number of insulator ribs.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116443957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-01DOI: 10.1109/ISFEE.2016.7803213
V. Ioniță, L. Petrescu, E. Cazacu
The estimation of magnetic losses in a non-oriented grains FeSi sheet by a time-dependent method is used in the paper for underlining the influence of each harmonic initial phase. The initial phase of the first harmonic, usually indicated by a power analyzer to be zero, is very important for the signal shape, the losses being dependent on this parameter. The paper proves that THD and the harmonic amplitudes of the magnetic flux density are not sufficient for the magnetic losses predetermination in distorted regime, the initial phases of the harmonics being of great importance for any computation involving a truncated Fourier series.
{"title":"Influence of harmonics' initial phases on magnetic losses in non-oriented grains FeSi sheets","authors":"V. Ioniță, L. Petrescu, E. Cazacu","doi":"10.1109/ISFEE.2016.7803213","DOIUrl":"https://doi.org/10.1109/ISFEE.2016.7803213","url":null,"abstract":"The estimation of magnetic losses in a non-oriented grains FeSi sheet by a time-dependent method is used in the paper for underlining the influence of each harmonic initial phase. The initial phase of the first harmonic, usually indicated by a power analyzer to be zero, is very important for the signal shape, the losses being dependent on this parameter. The paper proves that THD and the harmonic amplitudes of the magnetic flux density are not sufficient for the magnetic losses predetermination in distorted regime, the initial phases of the harmonics being of great importance for any computation involving a truncated Fourier series.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126451837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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