Pub Date : 2018-06-21DOI: 10.1109/ICEEE2.2018.8391345
Masoud Dashtdar, R. Dashti, H. Shaker
In this paper, a method for fault location in power distribution network is presented. The proposed method uses artificial neural network. In order to train the neural network, a series of specific characteristic are extracted from the recorded fault signals in relay. These characteristics are obtained by wavelet transform on three-phase currents and sequences and extracting the high frequency characteristic. Since high frequencies are generated during the occurrence of the fault, signal information could be extracted using wavelet transform. After wavelet transform, the entropies of the minor components of the sequences as well as three-phase signals could be obtained using statistics to extract the hidden features inside them and present them separately to train the neural network. Also, since the obtained inputs for the training of the neural network strongly depend on the fault angle, fault resistance, and fault location, the training data should be selected such that these differences are properly presented so that the neural network does not face any issues for identification. Therefore, selecting the signal processing function, data spectrum and subsequently, statistical parameters and their combinations are very important. Finally, one could estimate the fault section, fault location, and fault resistance after implementing the neural network. The simulation results show the good performance of neural network for the faults in different angles, locations, and resistances.
{"title":"Distribution network fault section identification and fault location using artificial neural network","authors":"Masoud Dashtdar, R. Dashti, H. Shaker","doi":"10.1109/ICEEE2.2018.8391345","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391345","url":null,"abstract":"In this paper, a method for fault location in power distribution network is presented. The proposed method uses artificial neural network. In order to train the neural network, a series of specific characteristic are extracted from the recorded fault signals in relay. These characteristics are obtained by wavelet transform on three-phase currents and sequences and extracting the high frequency characteristic. Since high frequencies are generated during the occurrence of the fault, signal information could be extracted using wavelet transform. After wavelet transform, the entropies of the minor components of the sequences as well as three-phase signals could be obtained using statistics to extract the hidden features inside them and present them separately to train the neural network. Also, since the obtained inputs for the training of the neural network strongly depend on the fault angle, fault resistance, and fault location, the training data should be selected such that these differences are properly presented so that the neural network does not face any issues for identification. Therefore, selecting the signal processing function, data spectrum and subsequently, statistical parameters and their combinations are very important. Finally, one could estimate the fault section, fault location, and fault resistance after implementing the neural network. The simulation results show the good performance of neural network for the faults in different angles, locations, and resistances.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"39 1","pages":"273-278"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85058744","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 : 2018-06-21DOI: 10.1109/ICEEE2.2018.8391343
R. Dashti, Salahedin Hassani, H. Shaker
Protection of electrical network of an industrial complex is a challenging task in particular in connection to the power grid. This paper is focused on this challenging task and reports on the experience of protection coordination assessment and improvement of electrical network of South Pars Gas Complex (SPGC) and in particular the third south Pars refinery. Today South Pars is the economic hub and heart of the gas and petrochemical industry in Iran. The continuous and stable production of gas from the South Pars Gas Field is very important. In order to supply power to the third south Pars refinery four gas turbine generators (GTG) each with a capacity of 41.1MW and two emergency diesel generators (EDG) each with a capacity of 4.5 MW have been installed. In addition to this, one external line to connect the plant to the power grid is considered. Now the third refinery as an island electrical network operates independently from the power grid and provides energy needs of the refinery process and utility units. By connecting the refinery's electrical network to the power grid short-circuit current value increases. If an error occurs on the internal network when the refinery is connected to the power grid, the fault current will be higher compared to when the Refinery works in island mode. This is because current is also injected from the power grid to the faulty point. In this paper, the third south Pars refinery protection coordination in connection to the power grid will be assessed. The ETAP software will be used for the simulation. While the paper reports the practical experience in relation to this particular case study, the approach and experience helps to face the practical challenges in similar projects.
{"title":"Protection coordination assessment and improvement of electrical network of an industrial complex in connection to power grid: An experience report","authors":"R. Dashti, Salahedin Hassani, H. Shaker","doi":"10.1109/ICEEE2.2018.8391343","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391343","url":null,"abstract":"Protection of electrical network of an industrial complex is a challenging task in particular in connection to the power grid. This paper is focused on this challenging task and reports on the experience of protection coordination assessment and improvement of electrical network of South Pars Gas Complex (SPGC) and in particular the third south Pars refinery. Today South Pars is the economic hub and heart of the gas and petrochemical industry in Iran. The continuous and stable production of gas from the South Pars Gas Field is very important. In order to supply power to the third south Pars refinery four gas turbine generators (GTG) each with a capacity of 41.1MW and two emergency diesel generators (EDG) each with a capacity of 4.5 MW have been installed. In addition to this, one external line to connect the plant to the power grid is considered. Now the third refinery as an island electrical network operates independently from the power grid and provides energy needs of the refinery process and utility units. By connecting the refinery's electrical network to the power grid short-circuit current value increases. If an error occurs on the internal network when the refinery is connected to the power grid, the fault current will be higher compared to when the Refinery works in island mode. This is because current is also injected from the power grid to the faulty point. In this paper, the third south Pars refinery protection coordination in connection to the power grid will be assessed. The ETAP software will be used for the simulation. While the paper reports the practical experience in relation to this particular case study, the approach and experience helps to face the practical challenges in similar projects.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"127 1","pages":"263-268"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77665918","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 : 2018-06-21DOI: 10.1109/ICEEE2.2018.8391320
B. Hekimoğlu, Serdar Ekinci
A novel design method is presented to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system utilizing the grasshopper optimization algorithm (GOA). The proposed approach is a simple and effective algorithm that is able to solve many optimization problems even those with unknown search spaces effectively. The simplicity of algorithm provides high quality tuning of optimal PID controller parameters. The integral of time weighted squared error (ITSE) is used as the performance index to confirm the performance of the proposed GOA-PID controller. When compared to the other PID controllers based on Ziegler- Nichols (ZN), differential evolution (DE), and artificial bee colony (ABC) tuning methods, the proposed method is found highly effective and robust to improve AVR system's transient response.
{"title":"Grasshopper optimization algorithm for automatic voltage regulator system","authors":"B. Hekimoğlu, Serdar Ekinci","doi":"10.1109/ICEEE2.2018.8391320","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391320","url":null,"abstract":"A novel design method is presented to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system utilizing the grasshopper optimization algorithm (GOA). The proposed approach is a simple and effective algorithm that is able to solve many optimization problems even those with unknown search spaces effectively. The simplicity of algorithm provides high quality tuning of optimal PID controller parameters. The integral of time weighted squared error (ITSE) is used as the performance index to confirm the performance of the proposed GOA-PID controller. When compared to the other PID controllers based on Ziegler- Nichols (ZN), differential evolution (DE), and artificial bee colony (ABC) tuning methods, the proposed method is found highly effective and robust to improve AVR system's transient response.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"45 1","pages":"152-156"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78531652","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 : 2018-06-21DOI: 10.1109/ICEEE2.2018.8391334
M. Chaudhary, Z. Memon, Z. Yusoff, J. Lees, J. Benedikt, P. Tasker
This paper introduces a novel method that allows the presentation of specific, broadband impedances to a DUT by loadpull. To investigate this method, a derivative of class J power amplifier termed BJ is emulated, which effectively lies between class J and class B along the reactive routes on the Smith chart. The mode helps explore baseband linearization approach and its suitability when using continuous mode architectures. Adopting out-of-band impedance optimization technique allows to present impedances and move progressively from a completely real set of loads to completely imaginary set of loads in a deterministic and systematic way. This further extends a view to look at how well the emulated mode linearizes at a set of BJ contour points along the way. The method uses multiple modulated signal sources, phase synchronized at both radio frequency (RF) and intermediate frequency (IF) to provide a complete multi-harmonic broadband loadpull capability controlled by a single local oscillator and allows complete impedance control at the DUT current generator plane.
{"title":"Optimization of out-of-band impedance environment for linearity improvements of microwave power transistors","authors":"M. Chaudhary, Z. Memon, Z. Yusoff, J. Lees, J. Benedikt, P. Tasker","doi":"10.1109/ICEEE2.2018.8391334","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391334","url":null,"abstract":"This paper introduces a novel method that allows the presentation of specific, broadband impedances to a DUT by loadpull. To investigate this method, a derivative of class J power amplifier termed BJ is emulated, which effectively lies between class J and class B along the reactive routes on the Smith chart. The mode helps explore baseband linearization approach and its suitability when using continuous mode architectures. Adopting out-of-band impedance optimization technique allows to present impedances and move progressively from a completely real set of loads to completely imaginary set of loads in a deterministic and systematic way. This further extends a view to look at how well the emulated mode linearizes at a set of BJ contour points along the way. The method uses multiple modulated signal sources, phase synchronized at both radio frequency (RF) and intermediate frequency (IF) to provide a complete multi-harmonic broadband loadpull capability controlled by a single local oscillator and allows complete impedance control at the DUT current generator plane.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"16 1","pages":"219-223"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82263062","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 : 2018-06-21DOI: 10.1109/ICEEE2.2018.8391318
Serdar Ekinci, B. Hekimoğlu
A novel application of a very recent heuristic-based method, namely Salp Swarm Algorithm (SSA) is presented here for tuning of power system stabilizer (PSS) in a multi- machine power system. The tuning problem of PSS parameters is expressed as an optimization problem and the SSA method is utilized for searching the optimal parameters. The efficacy of the SSA-based PSS design was successfully tested on a well- known 3-machine, 9-bus power system. The results are comparatively evaluated with the other results obtained by the Tabu Search (TS) and the Biogeography-Based Optimization (BBO) methods. From the eigenvalue analysis and nonlinear simulation results it is confirmed that for damping oscillations, the performance of the proposed SSA approach in this study is better than that obtained by other intelligent techniques (TS and BBO).
{"title":"Parameter optimization of power system stabilizer via Salp Swarm algorithm","authors":"Serdar Ekinci, B. Hekimoğlu","doi":"10.1109/ICEEE2.2018.8391318","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391318","url":null,"abstract":"A novel application of a very recent heuristic-based method, namely Salp Swarm Algorithm (SSA) is presented here for tuning of power system stabilizer (PSS) in a multi- machine power system. The tuning problem of PSS parameters is expressed as an optimization problem and the SSA method is utilized for searching the optimal parameters. The efficacy of the SSA-based PSS design was successfully tested on a well- known 3-machine, 9-bus power system. The results are comparatively evaluated with the other results obtained by the Tabu Search (TS) and the Biogeography-Based Optimization (BBO) methods. From the eigenvalue analysis and nonlinear simulation results it is confirmed that for damping oscillations, the performance of the proposed SSA approach in this study is better than that obtained by other intelligent techniques (TS and BBO).","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"1 1","pages":"143-147"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79574783","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 : 2018-06-20DOI: 10.1109/ICEEE2.2018.8391313
A. Saleem, Serein Al-Ratrout, M. Mesbah
Piezoelectric actuators (PA) are widely used in micro and nano positioning systems owing to their high stiffness, fast response, compact structure, and high precision. However, nonlinear behaviors of PAs, due to inherited hysteresis, tend to deteriorate their tracking performance. Therefore, many research works have been devoted to the modeling the hysteresis behavior in PAs. A number of nonlinear models were proposed in the literature such as Bouc- Wen (BW). The performance of identification of BW parameters is highly affected by the type of optimization algorithm and the adopted fitness function. One widely used fitness function is the mean square error (MSE). This choice often results in a relatively high error at the peaks and valleys of the displacement waveform. In this paper, a new optimization fitness function, based on the error in the signal peaks and valleys, is proposed. This fitness function is used to estimate the BW model parameters using the particle swarm optimization (PSO) technique. Experimental and simulation results show that this choice of fitness function improved the performance by up to 90% at the peaks and valleys.
{"title":"A fitness function for parameters identification of Bouc-Wen hysteresis model for piezoelectric actuators","authors":"A. Saleem, Serein Al-Ratrout, M. Mesbah","doi":"10.1109/ICEEE2.2018.8391313","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391313","url":null,"abstract":"Piezoelectric actuators (PA) are widely used in micro and nano positioning systems owing to their high stiffness, fast response, compact structure, and high precision. However, nonlinear behaviors of PAs, due to inherited hysteresis, tend to deteriorate their tracking performance. Therefore, many research works have been devoted to the modeling the hysteresis behavior in PAs. A number of nonlinear models were proposed in the literature such as Bouc- Wen (BW). The performance of identification of BW parameters is highly affected by the type of optimization algorithm and the adopted fitness function. One widely used fitness function is the mean square error (MSE). This choice often results in a relatively high error at the peaks and valleys of the displacement waveform. In this paper, a new optimization fitness function, based on the error in the signal peaks and valleys, is proposed. This fitness function is used to estimate the BW model parameters using the particle swarm optimization (PSO) technique. Experimental and simulation results show that this choice of fitness function improved the performance by up to 90% at the peaks and valleys.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"13 1","pages":"119-123"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90461854","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 : 2018-06-20DOI: 10.1109/ICEEE2.2018.8391366
Serein Al-Ratrout, A. Hossen
Sleep apnea is a complete or partial cessation of breathing during sleep. Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders. The well-known reliable and standard diagnosis test used by specialized physicians is the polysomnographic sleep study. However, this test is complex and time consuming and expensive. Therefore, a non-invasive technique applying signal-processing algorithms is of more benefits for identification of OSA patients from normal subjects. Any identification algorithm has two parts: feature extraction part and feature matching part. In this paper, the feature extraction part depends on the wavelet-packet decomposition technique of the Heart Rate Variability (HRV) signal. The feature matching part uses the support vector machine (SVM). The highest performance on MIT standard data is achieved by the linear support vector machine with 5 stages wavelet decomposition using db1 filters with specificity, sensitivity, and accuracy of 100%, 90% and 93.34%, respectively.
{"title":"Support vector machine of wavelet packet spectral features for identification of obstructive sleep apnea","authors":"Serein Al-Ratrout, A. Hossen","doi":"10.1109/ICEEE2.2018.8391366","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391366","url":null,"abstract":"Sleep apnea is a complete or partial cessation of breathing during sleep. Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders. The well-known reliable and standard diagnosis test used by specialized physicians is the polysomnographic sleep study. However, this test is complex and time consuming and expensive. Therefore, a non-invasive technique applying signal-processing algorithms is of more benefits for identification of OSA patients from normal subjects. Any identification algorithm has two parts: feature extraction part and feature matching part. In this paper, the feature extraction part depends on the wavelet-packet decomposition technique of the Heart Rate Variability (HRV) signal. The feature matching part uses the support vector machine (SVM). The highest performance on MIT standard data is achieved by the linear support vector machine with 5 stages wavelet decomposition using db1 filters with specificity, sensitivity, and accuracy of 100%, 90% and 93.34%, respectively.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"24 1","pages":"380-383"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81570704","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 : 2018-05-03DOI: 10.1109/ICEEE2.2018.8391292
Poonyapa Sookrod, P. Wirasanti
The conventional structure of distribution systems is evolving rapidly due to the high penetration of distributed generation (DG). DG may have a detrimental effect on protection coordination of overcurrent relays regarding varying short circuit levels. Overcurrent relays are necessary to ensure the reliability of power system by avoiding malfunction and the unnecessary outage of the healthy part of the system. The relay settings have to be changed depending on capacity and location of installed DG. It is complexity to analyze all operating conditions. Therefore, the effects of DG presence on the existent relays must be investigated in order to maintain protection coordination. To overcome relay coordination problem, overcurrent relay coordination tool is proposed in this paper. This tool is developed using concept of adaptive protection scheme. Relay setting parameters are set automatically in response to changing systems. Furthermore, this proposed tool is suitable for the complex future radial distribution systems.
{"title":"Overcurrent relay coordination tool for radial distribution systems with distributed generation","authors":"Poonyapa Sookrod, P. Wirasanti","doi":"10.1109/ICEEE2.2018.8391292","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391292","url":null,"abstract":"The conventional structure of distribution systems is evolving rapidly due to the high penetration of distributed generation (DG). DG may have a detrimental effect on protection coordination of overcurrent relays regarding varying short circuit levels. Overcurrent relays are necessary to ensure the reliability of power system by avoiding malfunction and the unnecessary outage of the healthy part of the system. The relay settings have to be changed depending on capacity and location of installed DG. It is complexity to analyze all operating conditions. Therefore, the effects of DG presence on the existent relays must be investigated in order to maintain protection coordination. To overcome relay coordination problem, overcurrent relay coordination tool is proposed in this paper. This tool is developed using concept of adaptive protection scheme. Relay setting parameters are set automatically in response to changing systems. Furthermore, this proposed tool is suitable for the complex future radial distribution systems.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"100 1","pages":"13-17"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75858716","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 : 2018-05-03DOI: 10.1109/ICEEE2.2018.8391305
M. Kurtoglu, F. Eroǧlu, A. O. Arslan, A. Vural
Modular multilevel converters (MMCs) which have modular architecture and high output performance have been utilized for medium and high power energy conversion systems in recent years. During the last years, the significant studies related to the topology, control or applications of MMC have been conducted. In this paper, MMC circuit topologies, its modulation techniques and application fields are addressed. This paper not only highlights the circuit topology, control concept and applications of the MMC but also presents a review, particularly in terms of latest achievements of it. In addition to these, suggestions for future research topics and trends of MMC are discussed.
{"title":"Modular multilevel converters: A study on topology, control and applications","authors":"M. Kurtoglu, F. Eroǧlu, A. O. Arslan, A. Vural","doi":"10.1109/ICEEE2.2018.8391305","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391305","url":null,"abstract":"Modular multilevel converters (MMCs) which have modular architecture and high output performance have been utilized for medium and high power energy conversion systems in recent years. During the last years, the significant studies related to the topology, control or applications of MMC have been conducted. In this paper, MMC circuit topologies, its modulation techniques and application fields are addressed. This paper not only highlights the circuit topology, control concept and applications of the MMC but also presents a review, particularly in terms of latest achievements of it. In addition to these, suggestions for future research topics and trends of MMC are discussed.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"305 1","pages":"79-84"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75895374","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 : 2018-05-03DOI: 10.1109/ICEEE2.2018.8391301
A. Elallali, A. A. C. Taghzaoui, Y. Mchaouar, A. Hamdoun, I. Lachkar
This paper presents the problem of controlling single-phase active power filter connected photovoltaic system via MPPT. We seek to meet a control strategy for the two following control objectives: i) ensuring the correction of the power factor (PFC) by eliminating harmonics generated by a non-linear load; ii) injecting in the power grid electric energy produced by solar panels, regulated by the MPPT. To achieve the above control objectives, a sliding mode control is designed as a nonlinear control technique applied in the inner loop and a simple proportional-integral (PI) controller is used in the outer voltage control. The System's stability is ensured by Lyapunov framework using system averaging theory. An experiment based on MATLAB/Simulink is designed to confirm the validity of proposed APF controller for this system.
{"title":"Nonlinear control of a single phase shunt active filter connected photovoltaic systems via sliding mode","authors":"A. Elallali, A. A. C. Taghzaoui, Y. Mchaouar, A. Hamdoun, I. Lachkar","doi":"10.1109/ICEEE2.2018.8391301","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391301","url":null,"abstract":"This paper presents the problem of controlling single-phase active power filter connected photovoltaic system via MPPT. We seek to meet a control strategy for the two following control objectives: i) ensuring the correction of the power factor (PFC) by eliminating harmonics generated by a non-linear load; ii) injecting in the power grid electric energy produced by solar panels, regulated by the MPPT. To achieve the above control objectives, a sliding mode control is designed as a nonlinear control technique applied in the inner loop and a simple proportional-integral (PI) controller is used in the outer voltage control. The System's stability is ensured by Lyapunov framework using system averaging theory. An experiment based on MATLAB/Simulink is designed to confirm the validity of proposed APF controller for this system.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"35 1","pages":"56-61"},"PeriodicalIF":0.0,"publicationDate":"2018-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86552175","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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