Pub Date : 2016-12-01DOI: 10.1109/ICECTE.2016.7879565
S. K. Saha, M. S. Hossain
A novel approach of antenna array with beam steering technology is addressed in this paper which can transmit microwave power from Space Solar Power Satellite (SSPS) system. Array antennas are critically important component in the development of future wireless systems with applications in communications, radar and satellite technologies. The Microwave Power Transmission (MPT) technology is a key technique for SSPS system, which is being highlighted as a technology capable of solving global environment problem as well as the energy problem. This paper presents a robust technique for MPT which is able to steer the main beam at any desired direction in the presence of array imperfections. The proposed beamforming technique is proficient to cancel the directional interferences. The simulation results show that the proposed SSPS scheme has better performance than the existing systems.
{"title":"Novel approach of antenna array with beam steering technology for microwave power transmission from SSPS system","authors":"S. K. Saha, M. S. Hossain","doi":"10.1109/ICECTE.2016.7879565","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879565","url":null,"abstract":"A novel approach of antenna array with beam steering technology is addressed in this paper which can transmit microwave power from Space Solar Power Satellite (SSPS) system. Array antennas are critically important component in the development of future wireless systems with applications in communications, radar and satellite technologies. The Microwave Power Transmission (MPT) technology is a key technique for SSPS system, which is being highlighted as a technology capable of solving global environment problem as well as the energy problem. This paper presents a robust technique for MPT which is able to steer the main beam at any desired direction in the presence of array imperfections. The proposed beamforming technique is proficient to cancel the directional interferences. The simulation results show that the proposed SSPS scheme has better performance than the existing systems.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"27 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82411599","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879622
T. K. Roy, M. Pervej, F. K. Tumpa
A nonlinear adaptive controller for regulating the grid of a current source inverter (CSI) based three-phase grid-connected photovoltaic (PV) system is proposed in this paper. The proposed control structure is composed of an outer current loop which is responsible for controlling the DC-side inductor current and the inner current control loop is responsible for controlling injected current into the grid. The proposed controller is designed recursively by considering some parameters of the system parameters as unknown and these unknown parameters are estimated through the adaption laws. In order to prove the overall stability of the whole system control Lyapunov functions (CLFs) are formulated at different stages of the design process. Finally, the effectiveness of the proposed control scheme is tested on a CSI based three-phase grid-connected PV system under different atmospheric conditions. Simulation results show that the proposed control scheme can effectively meet the desired control objectives.
{"title":"Adaptive controller design for grid current regulation of a CSI based PV system","authors":"T. K. Roy, M. Pervej, F. K. Tumpa","doi":"10.1109/ICECTE.2016.7879622","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879622","url":null,"abstract":"A nonlinear adaptive controller for regulating the grid of a current source inverter (CSI) based three-phase grid-connected photovoltaic (PV) system is proposed in this paper. The proposed control structure is composed of an outer current loop which is responsible for controlling the DC-side inductor current and the inner current control loop is responsible for controlling injected current into the grid. The proposed controller is designed recursively by considering some parameters of the system parameters as unknown and these unknown parameters are estimated through the adaption laws. In order to prove the overall stability of the whole system control Lyapunov functions (CLFs) are formulated at different stages of the design process. Finally, the effectiveness of the proposed control scheme is tested on a CSI based three-phase grid-connected PV system under different atmospheric conditions. Simulation results show that the proposed control scheme can effectively meet the desired control objectives.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"25 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74681987","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879616
A. Hasan, M. Sheikh
Recently, renewable energy sources, like wind power generation, are widely being used in the world. Among various renewable resources, wind energy seems to be promising solution to provide reliable power supply with improved system efficiency. It is essential for wind farm to control the frequency as well as power. Some methods for smoothing the wind generator output fluctuations using several types of energy storage systems have been proposed, but these methods have a cost of problem. This paper proposes a new pitch control system for smoothing the wind generator output fluctuations. The simulation results show that the wind farm output fluctuations due to the wind speed variations can be smooth more effectively by the new pitch controller than the conventional pitch controller. It is confirmed that the wind farm output gives rise to fluctuations of system frequency more as the power capacity of wind farm becomes large. The wind farm output fluctuations, as well as energy and the power system frequency can be made more accurate by using new pitch controller. PSCAD software has been used for simulation analyses.
{"title":"Smoothening of wind farm output fluctuations using new pitch controller","authors":"A. Hasan, M. Sheikh","doi":"10.1109/ICECTE.2016.7879616","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879616","url":null,"abstract":"Recently, renewable energy sources, like wind power generation, are widely being used in the world. Among various renewable resources, wind energy seems to be promising solution to provide reliable power supply with improved system efficiency. It is essential for wind farm to control the frequency as well as power. Some methods for smoothing the wind generator output fluctuations using several types of energy storage systems have been proposed, but these methods have a cost of problem. This paper proposes a new pitch control system for smoothing the wind generator output fluctuations. The simulation results show that the wind farm output fluctuations due to the wind speed variations can be smooth more effectively by the new pitch controller than the conventional pitch controller. It is confirmed that the wind farm output gives rise to fluctuations of system frequency more as the power capacity of wind farm becomes large. The wind farm output fluctuations, as well as energy and the power system frequency can be made more accurate by using new pitch controller. PSCAD software has been used for simulation analyses.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"54 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73577847","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879602
Md. Ashib Rahman, Md. Rabiul Islam
This article presents the most up-to-date scenario of utilizing solar energy based applications across the country, Bangladesh. As, Bangladesh geographically situated in a region to harness solar energy most effectively, prospects and opportunities of solar energy based appliances are investigated here, along with the present energy situation of Bangladesh. Initiatives taken by Bangladesh government and non-government organizations to harness solar energy to fulfill the future energy demand of Bangladesh are also reviewed. Diverse utilization of solar energy in terms of off-grid or grid tied conditions are also presented.
{"title":"Existing, emerging and future solar energy applications: A Bangladesh perspective","authors":"Md. Ashib Rahman, Md. Rabiul Islam","doi":"10.1109/ICECTE.2016.7879602","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879602","url":null,"abstract":"This article presents the most up-to-date scenario of utilizing solar energy based applications across the country, Bangladesh. As, Bangladesh geographically situated in a region to harness solar energy most effectively, prospects and opportunities of solar energy based appliances are investigated here, along with the present energy situation of Bangladesh. Initiatives taken by Bangladesh government and non-government organizations to harness solar energy to fulfill the future energy demand of Bangladesh are also reviewed. Diverse utilization of solar energy in terms of off-grid or grid tied conditions are also presented.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81949703","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879561
Sagor Chandro Bakchy, M. Islam, Abu Sayeed
Gait recognition is one of the most recent emerging technique of human biometric which can be used for security based purposes. In comparison with other bio-metric techniques gait analysis has some special security features. Most of the biometric techniques use sequential template based component analysis for recognition. Here we have proposed a developed technique for gait identification using the feature Gait Energy Image (GEI). It is implemented using Kohonen Self-Organizing Mapping (KSOM) neural network. GEI representation of gait contains all information of each image in one complete gait cycle and requires less storage and low processing speed. As only one image is enough to store the necessary information in GEI feature, recognition process is a bit easier than any other feature of gait recognition. Gait recognition has some limitations like viewing angle variation, walking speed, clothes, carrying load etc. Robust View Transformation Model (RVTM) is used to solve the problem of viewing angle. RVTM transforms the viewing angle data from various angle to specific angle. RVTM enhances recognition performance. Our proposed method compares the recognition performance with template based feature extraction which needs to process each frame in the cycle. We use GEI which gives all possible information about all the frames in one cycle and results in better performance than other feature of gait analysis.
{"title":"Human identification on the basis of gait analysis using Kohonen self-organizing mapping technique","authors":"Sagor Chandro Bakchy, M. Islam, Abu Sayeed","doi":"10.1109/ICECTE.2016.7879561","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879561","url":null,"abstract":"Gait recognition is one of the most recent emerging technique of human biometric which can be used for security based purposes. In comparison with other bio-metric techniques gait analysis has some special security features. Most of the biometric techniques use sequential template based component analysis for recognition. Here we have proposed a developed technique for gait identification using the feature Gait Energy Image (GEI). It is implemented using Kohonen Self-Organizing Mapping (KSOM) neural network. GEI representation of gait contains all information of each image in one complete gait cycle and requires less storage and low processing speed. As only one image is enough to store the necessary information in GEI feature, recognition process is a bit easier than any other feature of gait recognition. Gait recognition has some limitations like viewing angle variation, walking speed, clothes, carrying load etc. Robust View Transformation Model (RVTM) is used to solve the problem of viewing angle. RVTM transforms the viewing angle data from various angle to specific angle. RVTM enhances recognition performance. Our proposed method compares the recognition performance with template based feature extraction which needs to process each frame in the cycle. We use GEI which gives all possible information about all the frames in one cycle and results in better performance than other feature of gait analysis.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"22 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85334387","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879629
Md Mahmudul Hasan, Md. Hanif Ali Sohag, Mohiudding Ahmad
Biometrics refers to the process of identifying an individual from others by biological means. Most of the biometric systems are unreliable, can be imitated or even can be stolen. As a result, we need to search for a new biometrics and Electroencephalogram (EEG) based biometrics is a promising field in this aspect. By using the small intra-individual and large inter-individual difference in features with different trials, individuals can be identified with more accuracy. In this paper, a methodology for identifying an individual is proposed by determining the most effective domain and features of EEG signal. Three feed forward, back propagation multi-layer neural networks were built using the most effective features. The relative comparison shows that the network designed using the features of time domain gives the worst performance whereas the network designed using the features of both time and frequency domain gives the best performance for identifying an individual having relatively lower mean square error.
{"title":"EEG biometrics based on small intra-individual and large inter-individual difference of extracted features","authors":"Md Mahmudul Hasan, Md. Hanif Ali Sohag, Mohiudding Ahmad","doi":"10.1109/ICECTE.2016.7879629","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879629","url":null,"abstract":"Biometrics refers to the process of identifying an individual from others by biological means. Most of the biometric systems are unreliable, can be imitated or even can be stolen. As a result, we need to search for a new biometrics and Electroencephalogram (EEG) based biometrics is a promising field in this aspect. By using the small intra-individual and large inter-individual difference in features with different trials, individuals can be identified with more accuracy. In this paper, a methodology for identifying an individual is proposed by determining the most effective domain and features of EEG signal. Three feed forward, back propagation multi-layer neural networks were built using the most effective features. The relative comparison shows that the network designed using the features of time domain gives the worst performance whereas the network designed using the features of both time and frequency domain gives the best performance for identifying an individual having relatively lower mean square error.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"16 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86952367","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879634
Sania Zahan
Electroencephalogram (EEG) has significant applications on medical diagnosis and Brain Computer Interfacing (BCI). But the main obstacle of analyzing EEG signal is various types of noises to get actual information. Electro-oculogram (EOG) is a vital noise in EEG signal that can be produced by eye movements. De-noising EOG from EEG signal is the key issue in this research. Many research has been done on this purpose mainly Independent Component Analysis (ICA) based EOG separation with reference signal and wavelet based EOG separation. In this research, multivariate Fractional Gaussian noise channel will be used to establish a uniformly distributed reference scale and to derive the energy based threshold to detect the low frequency trends caused by EOG artifact. Avoiding these artifacts, we can get EOG free EEG hoping better results than existing methods.
{"title":"Removing EOG artifacts from EEG signal using noise-assisted multivariate empirical mode decomposition","authors":"Sania Zahan","doi":"10.1109/ICECTE.2016.7879634","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879634","url":null,"abstract":"Electroencephalogram (EEG) has significant applications on medical diagnosis and Brain Computer Interfacing (BCI). But the main obstacle of analyzing EEG signal is various types of noises to get actual information. Electro-oculogram (EOG) is a vital noise in EEG signal that can be produced by eye movements. De-noising EOG from EEG signal is the key issue in this research. Many research has been done on this purpose mainly Independent Component Analysis (ICA) based EOG separation with reference signal and wavelet based EOG separation. In this research, multivariate Fractional Gaussian noise channel will be used to establish a uniformly distributed reference scale and to derive the energy based threshold to detect the low frequency trends caused by EOG artifact. Avoiding these artifacts, we can get EOG free EEG hoping better results than existing methods.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"33 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90546617","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879569
A. Paul, P. C. Shill
Due to the explosion of social networking sites, blogs and review sites (for example, Amazon, Twitter, and Facebook, etc.) it provides an overwhelming amount of textual information. We need to organize, explore, analyze the information for making a better decision from the side of customers and companies. Thus, sentiment analysis is the best way in which it determines the author's feelings expressed in reviews as positive or negative opinions by analyzing an enormous number of documents. In this work, we used Mutual Information (MI) for the feature selection process and also used Multinomial Naive Bayes (MNB) for the classification of Bangla and English reviews. The experimental results demonstrate that the system can achieve satisfactory accuracy for Bangla dataset compare to English dataset where Bangla dataset is generated from Amazon's Watches English dataset.
{"title":"Sentiment mining from Bangla data using mutual information","authors":"A. Paul, P. C. Shill","doi":"10.1109/ICECTE.2016.7879569","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879569","url":null,"abstract":"Due to the explosion of social networking sites, blogs and review sites (for example, Amazon, Twitter, and Facebook, etc.) it provides an overwhelming amount of textual information. We need to organize, explore, analyze the information for making a better decision from the side of customers and companies. Thus, sentiment analysis is the best way in which it determines the author's feelings expressed in reviews as positive or negative opinions by analyzing an enormous number of documents. In this work, we used Mutual Information (MI) for the feature selection process and also used Multinomial Naive Bayes (MNB) for the classification of Bangla and English reviews. The experimental results demonstrate that the system can achieve satisfactory accuracy for Bangla dataset compare to English dataset where Bangla dataset is generated from Amazon's Watches English dataset.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"12 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82035435","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879584
Senjuti Rahman, Farha Khushi, Kamal Hosain
In this paper, the biocompatibility of a battery less back-mountable deep brain stimulation (DBS) device is analyzed. To conduct the work, a circular planar inverted F antenna (PIFA) at the resonance frequency of 915 MHz is proposed. The dimension of the antenna is 20 × 19. 8904 × 1. 5mm3. In the proposed antenna, the radiating layer is meandered, and FR-4 material with εr = 4.18, tanδ = 0.02 is used as the substrate with a thickness of 1.5 mm. The bandwidth of the designed antenna is 56.71 MHz at a return loss of −10 dB in free space. Functional and biological aspects are considered here. The functional aspect includes input impedance, resonance frequency, gain pattern, radiation efficiency of the antenna, and the biological aspect involves electric field distribution, and SAR value. A complete rat model is used here. Safety regulation is verified in this paper by the specific absorption rate (SAR) distribution in tissues surrounding the back-mountable passive DBS device. The finite difference time domain (FDTD) based EM simulation software XFdtd is used to determine the electric field distributions which has an impact on the SAR value.
{"title":"Biocompatibility analysis of a battery less back-mountable DBS device","authors":"Senjuti Rahman, Farha Khushi, Kamal Hosain","doi":"10.1109/ICECTE.2016.7879584","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879584","url":null,"abstract":"In this paper, the biocompatibility of a battery less back-mountable deep brain stimulation (DBS) device is analyzed. To conduct the work, a circular planar inverted F antenna (PIFA) at the resonance frequency of 915 MHz is proposed. The dimension of the antenna is 20 × 19. 8904 × 1. 5mm3. In the proposed antenna, the radiating layer is meandered, and FR-4 material with εr = 4.18, tanδ = 0.02 is used as the substrate with a thickness of 1.5 mm. The bandwidth of the designed antenna is 56.71 MHz at a return loss of −10 dB in free space. Functional and biological aspects are considered here. The functional aspect includes input impedance, resonance frequency, gain pattern, radiation efficiency of the antenna, and the biological aspect involves electric field distribution, and SAR value. A complete rat model is used here. Safety regulation is verified in this paper by the specific absorption rate (SAR) distribution in tissues surrounding the back-mountable passive DBS device. The finite difference time domain (FDTD) based EM simulation software XFdtd is used to determine the electric field distributions which has an impact on the SAR value.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"10 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78663728","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 : 2016-12-01DOI: 10.1109/ICECTE.2016.7879619
A. Ferdous, M. Sheikh, Md Asaduzzaman Shobug
Due to the growing electricity concern, it is very much needed to use wind power for the generation of electricity. But for the random variation of wind speed, the output power of the wind generator fluctuates randomly as well as the fluctuation of the frequency occurs. As a result this decreases the energy. This paper represents a wind speed controlled pitch controller to control the wind generator output power fluctuation and also reduce the frequency fluctuations. For simulation analysis, real wind speed data is used and the simulation analysis have been performed by using PSCAD/EMTDC [1].
{"title":"Controlling of frequency fluctuation of wind turbine generator using wind speed controlled pitch controller","authors":"A. Ferdous, M. Sheikh, Md Asaduzzaman Shobug","doi":"10.1109/ICECTE.2016.7879619","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879619","url":null,"abstract":"Due to the growing electricity concern, it is very much needed to use wind power for the generation of electricity. But for the random variation of wind speed, the output power of the wind generator fluctuates randomly as well as the fluctuation of the frequency occurs. As a result this decreases the energy. This paper represents a wind speed controlled pitch controller to control the wind generator output power fluctuation and also reduce the frequency fluctuations. For simulation analysis, real wind speed data is used and the simulation analysis have been performed by using PSCAD/EMTDC [1].","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"25 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84998342","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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