Pub Date : 2016-05-23DOI: 10.1109/INTELSE.2016.7475142
M. A. Saeed, Nisar Ahmed, Mujahid Hussain, Adnan Jafar
In this article, speed of a non-linear hybrid electric vehicle (HEV) is achieved by adjusting its throttle position. Different controllers such as proportional-integral-derivative (PID), pole placement controller, linear quadratic regulator (LQR) and state observer based controller (OBC) are proposed. First, mathematical model of the vehicle is designed then open-loop stability, controllability and observability of the model is verified. The purpose of this paper is to ensure uniform throttle movement, to maintain a desired vehicle speed and zero steady-state speed to increase the efficiency of the vehicles because the modern electric vehicles are very much reliant on control automation system applied. Time domain analysis is applied and through repetitive simulations, better optimal control technique is established which gives better fuel economy and improved driving safety by controlling speed of electric vehicles through throttle position.
{"title":"A comparative study of controllers for optimal speed control of hybrid electric vehicle","authors":"M. A. Saeed, Nisar Ahmed, Mujahid Hussain, Adnan Jafar","doi":"10.1109/INTELSE.2016.7475142","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475142","url":null,"abstract":"In this article, speed of a non-linear hybrid electric vehicle (HEV) is achieved by adjusting its throttle position. Different controllers such as proportional-integral-derivative (PID), pole placement controller, linear quadratic regulator (LQR) and state observer based controller (OBC) are proposed. First, mathematical model of the vehicle is designed then open-loop stability, controllability and observability of the model is verified. The purpose of this paper is to ensure uniform throttle movement, to maintain a desired vehicle speed and zero steady-state speed to increase the efficiency of the vehicles because the modern electric vehicles are very much reliant on control automation system applied. Time domain analysis is applied and through repetitive simulations, better optimal control technique is established which gives better fuel economy and improved driving safety by controlling speed of electric vehicles through throttle position.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132731552","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}
As most of the electronic appliances use DC power so improvement in AC-DC converter is always at large by the researchers. The factors of improvement of power quality are reduction in total harmonic distortion and improvement in power factor at input ac, and tight output dc regulation. In such context, the AC-DC boost converters have gained significant importance, especially when they are used in Continuous Conduction Mode (CCM). This work presents a bridgeless AC-DC boost converter operating in CCM. The implementation of input current and output voltage controller is also discussed. Then a comparative analysis based on simulation results of bridgeless and bridge boost rectifier is presented. Bridgeless boost AC-DC converter has outperformed the conventional techniques due to lower conduction losses, lower THD of input current and improved input power factor.
{"title":"An active Power Factor Correction technique for bridgeless boost AC-DC converter","authors":"Mukhzan Mobeen Ali, Sardar Shazali Sikander, Usman Ali, Arbab Waleed","doi":"10.1109/INTELSE.2016.7475174","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475174","url":null,"abstract":"As most of the electronic appliances use DC power so improvement in AC-DC converter is always at large by the researchers. The factors of improvement of power quality are reduction in total harmonic distortion and improvement in power factor at input ac, and tight output dc regulation. In such context, the AC-DC boost converters have gained significant importance, especially when they are used in Continuous Conduction Mode (CCM). This work presents a bridgeless AC-DC boost converter operating in CCM. The implementation of input current and output voltage controller is also discussed. Then a comparative analysis based on simulation results of bridgeless and bridge boost rectifier is presented. Bridgeless boost AC-DC converter has outperformed the conventional techniques due to lower conduction losses, lower THD of input current and improved input power factor.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129054195","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475133
A. Waseem, Aleem Khaliq, R. Ahmad, M. F. Munir
In recent years, it is been a great challenge to have high data transmission rates with additional bandwidth at the same time in wireless communication systems. Multicarrier systems along with MIMO have provided good results in achieving high bandwidth and spectral efficiency. Recently Filter bank multicarrier systems (FBMC) have been implemented and provided better results in terms of spectral shaping of the subcarriers as compared to the traditional orthogonal frequency division multiplexing (OFDM) with cyclic prefix (CP). Consequently, the major observable difference between the two approaches is in frequency selectivity. In this research, we will present a modified neural network based algorithm (NN) which is based on mean-squared error (MSE) trained for MIMO-FBMC systems with QAM modulation (QAM). The algorithm presents a per-subchannel adaptive channel equalizer with low complexity. Practical channel information has been used in the simulations. Furthermore, the convergence characteristic curves of NN based equalizer per-subcarrier will be discussed and also how the proposed algorithm will be optimized and evaluated. Moreover, to elaborate equalization concepts more in detail the proposed equalizer will be implemented for classical OFDM-QAM system and results will be compared to the simulations performed for traditional least mean square (LMS) based per-subcarrier channel equalizer.
{"title":"Channel equalization for MIMO-FBMC systems","authors":"A. Waseem, Aleem Khaliq, R. Ahmad, M. F. Munir","doi":"10.1109/INTELSE.2016.7475133","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475133","url":null,"abstract":"In recent years, it is been a great challenge to have high data transmission rates with additional bandwidth at the same time in wireless communication systems. Multicarrier systems along with MIMO have provided good results in achieving high bandwidth and spectral efficiency. Recently Filter bank multicarrier systems (FBMC) have been implemented and provided better results in terms of spectral shaping of the subcarriers as compared to the traditional orthogonal frequency division multiplexing (OFDM) with cyclic prefix (CP). Consequently, the major observable difference between the two approaches is in frequency selectivity. In this research, we will present a modified neural network based algorithm (NN) which is based on mean-squared error (MSE) trained for MIMO-FBMC systems with QAM modulation (QAM). The algorithm presents a per-subchannel adaptive channel equalizer with low complexity. Practical channel information has been used in the simulations. Furthermore, the convergence characteristic curves of NN based equalizer per-subcarrier will be discussed and also how the proposed algorithm will be optimized and evaluated. Moreover, to elaborate equalization concepts more in detail the proposed equalizer will be implemented for classical OFDM-QAM system and results will be compared to the simulations performed for traditional least mean square (LMS) based per-subcarrier channel equalizer.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124359064","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475150
Syed Ussama Ali, M. Z. Shah, R. Samar, A. Waseem
In design of guidance algorithm's wind is often ignored or only considered implicitly. Persistent winds has a very significant nonlinear effect on the guidance scheme as for small UAVs these disturbances can strongly affect their spatial orientation. This research work extends the idea of sliding mode control for parameter estimation of UAV nonlinear dynamics. The uncertain parameter estimation scheme is designed to estimate wind based on the higher order sliding mode robust differentiator (HOSMD) using rate of change of heading of the vehicle. Further these estimates are then included in the guidance algorithm. The UAVs guidance algorithm's objective is to derive the lateral track error towards zero with graceful and stable manoeuvres and then to keep it as minimum as possible while subject to disturbing winds. In this scheme a second order sliding motion is established along designed sliding manifold and outputs the reference bank commands for improved tracking performance using estimates during curved arcs. The estimation is combined seamlessly with robust guidance algorithm to produce integrated identification and guidance scheme for lateral path following application. The combined framework is capable of robust accurate path following in the presence of wind disturbance. The algorithm is implemented in the flight control simulation of scaled YAK-54 research UAV; simulation test results are presented. These results demonstrate the effectiveness and performance of the proposed lateral guidance scheme.
{"title":"Wind estimation for lateral path following of UAVs using higher order sliding mode","authors":"Syed Ussama Ali, M. Z. Shah, R. Samar, A. Waseem","doi":"10.1109/INTELSE.2016.7475150","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475150","url":null,"abstract":"In design of guidance algorithm's wind is often ignored or only considered implicitly. Persistent winds has a very significant nonlinear effect on the guidance scheme as for small UAVs these disturbances can strongly affect their spatial orientation. This research work extends the idea of sliding mode control for parameter estimation of UAV nonlinear dynamics. The uncertain parameter estimation scheme is designed to estimate wind based on the higher order sliding mode robust differentiator (HOSMD) using rate of change of heading of the vehicle. Further these estimates are then included in the guidance algorithm. The UAVs guidance algorithm's objective is to derive the lateral track error towards zero with graceful and stable manoeuvres and then to keep it as minimum as possible while subject to disturbing winds. In this scheme a second order sliding motion is established along designed sliding manifold and outputs the reference bank commands for improved tracking performance using estimates during curved arcs. The estimation is combined seamlessly with robust guidance algorithm to produce integrated identification and guidance scheme for lateral path following application. The combined framework is capable of robust accurate path following in the presence of wind disturbance. The algorithm is implemented in the flight control simulation of scaled YAK-54 research UAV; simulation test results are presented. These results demonstrate the effectiveness and performance of the proposed lateral guidance scheme.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133157265","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475122
Muhammad Irfan, A. Farooq
Task allocation is one of the main issues to be addressed in the domain of multi-robot systems, in which it is determined which robot(s) should execute which task(s) so that overall system goal is achieved. Such collective decision making process is of great significance during complex task execution by swarm of simple robots with heterogeneous capabilities. This work targets the issue of coalition formations in a limited swarm of robots to perform a task requiring multiple single-task robots (ST-MR-IA) depending upon their heterogeneous capability conditions. Capabilities of individual robots may vary to different certain levels in a dynamic environment during task execution which can further affect the coalition formed to execute a specific complex task requiring certain level of collective/group capability. This study aims to suggest an algorithm for task allocations through auction mechanism to form a new or modify a coalition underway, where individual robots may gain or lose their task capabilities at certain time instants. Effectiveness of proposed algorithm in terms of task-execution time and utility of coalitions is analyzed through simulations.
{"title":"Auction-based task allocation scheme for dynamic coalition formations in limited robotic swarms with heterogeneous capabilities","authors":"Muhammad Irfan, A. Farooq","doi":"10.1109/INTELSE.2016.7475122","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475122","url":null,"abstract":"Task allocation is one of the main issues to be addressed in the domain of multi-robot systems, in which it is determined which robot(s) should execute which task(s) so that overall system goal is achieved. Such collective decision making process is of great significance during complex task execution by swarm of simple robots with heterogeneous capabilities. This work targets the issue of coalition formations in a limited swarm of robots to perform a task requiring multiple single-task robots (ST-MR-IA) depending upon their heterogeneous capability conditions. Capabilities of individual robots may vary to different certain levels in a dynamic environment during task execution which can further affect the coalition formed to execute a specific complex task requiring certain level of collective/group capability. This study aims to suggest an algorithm for task allocations through auction mechanism to form a new or modify a coalition underway, where individual robots may gain or lose their task capabilities at certain time instants. Effectiveness of proposed algorithm in terms of task-execution time and utility of coalitions is analyzed through simulations.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133705431","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475165
Xiancheng Zheng, Husan Ali, Xiaohua Wu, Onai Kuseso, Shahbaz Khan, H. Zaman
This paper discusses the measurement of frequency response functions at the input and output terminals of a prototype dc-dc buck converter. The frequency domain identification procedure is applied to the measured frequency response functions. The set of these transfer functions is used for black-box modeling of dc-dc converter. Distributed power systems are comprised of numerous such converters in various configurations. The system level analysis of such systems becomes complex when individual converter models are of high order. So a model order reduction technique is applied to reduce the order of the transfer functions. While reducing the order of the system, it has been ensured that the system retains the dynamics of the full order system.
{"title":"Frequency response measurements based reduced order identification for dc-dc converter","authors":"Xiancheng Zheng, Husan Ali, Xiaohua Wu, Onai Kuseso, Shahbaz Khan, H. Zaman","doi":"10.1109/INTELSE.2016.7475165","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475165","url":null,"abstract":"This paper discusses the measurement of frequency response functions at the input and output terminals of a prototype dc-dc buck converter. The frequency domain identification procedure is applied to the measured frequency response functions. The set of these transfer functions is used for black-box modeling of dc-dc converter. Distributed power systems are comprised of numerous such converters in various configurations. The system level analysis of such systems becomes complex when individual converter models are of high order. So a model order reduction technique is applied to reduce the order of the transfer functions. While reducing the order of the system, it has been ensured that the system retains the dynamics of the full order system.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022562","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475153
Bilal Hassan, G. Raja
Macular Edema (ME) is the retinal disorder which is caused because of fluid deposition in the sub-retinal layers. It causes loss of central vision if left untreated. The symptoms of this disease are not apparent in early stage and as the disease progresses; it becomes very difficult to diagnose. Optical Coherence Tomography (OCT) imaging is one of the latest and efficient techniques for the detection of macular edema at early stage. This paper proposes a fully automated method for the identification of ME from OCT images using Discriminant Analysis (DA) classifier. We trained the classifier by extracting 3 different features (max and min thickness between Inner Limiting Membrane (ILM) layer and choroid layer and the difference of max and min thickness) from 16 labeled OCT image. 30 OCT images (15 Healthy, 15 ME) are studied in proposed research. Our algorithm correctly classified 100% of ME patients and 93.33% of healthy patients.
{"title":"Fully automated assessment of Macular Edema using Optical Coherence Tomography (OCT) images","authors":"Bilal Hassan, G. Raja","doi":"10.1109/INTELSE.2016.7475153","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475153","url":null,"abstract":"Macular Edema (ME) is the retinal disorder which is caused because of fluid deposition in the sub-retinal layers. It causes loss of central vision if left untreated. The symptoms of this disease are not apparent in early stage and as the disease progresses; it becomes very difficult to diagnose. Optical Coherence Tomography (OCT) imaging is one of the latest and efficient techniques for the detection of macular edema at early stage. This paper proposes a fully automated method for the identification of ME from OCT images using Discriminant Analysis (DA) classifier. We trained the classifier by extracting 3 different features (max and min thickness between Inner Limiting Membrane (ILM) layer and choroid layer and the difference of max and min thickness) from 16 labeled OCT image. 30 OCT images (15 Healthy, 15 ME) are studied in proposed research. Our algorithm correctly classified 100% of ME patients and 93.33% of healthy patients.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116631321","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475161
R. Naeem, M. Khan, Z. Ali, Wajahat Sultan, Farhan Naeem
This paper compares the effects of ring, radial and interconnected DC grid topologies on the transient stability of a segmented 15 - bus electric grid for different HVDC schemes. For this purpose, three HVDC convertor technologies and four HVDC station configurations are considered. A three phase AC bus fault is applied and the rotor angle disturbance is analyzed. The results show that the transient stability is dependent on the topology for bipolar configuration of line commutated current source and capacitor commutated convertor technologies. For rest of the HVDC schemes, transient stability is independent of the topology used.
{"title":"Impact of DC grid topology on transient stability of HVDC-segmented power system","authors":"R. Naeem, M. Khan, Z. Ali, Wajahat Sultan, Farhan Naeem","doi":"10.1109/INTELSE.2016.7475161","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475161","url":null,"abstract":"This paper compares the effects of ring, radial and interconnected DC grid topologies on the transient stability of a segmented 15 - bus electric grid for different HVDC schemes. For this purpose, three HVDC convertor technologies and four HVDC station configurations are considered. A three phase AC bus fault is applied and the rotor angle disturbance is analyzed. The results show that the transient stability is dependent on the topology for bipolar configuration of line commutated current source and capacitor commutated convertor technologies. For rest of the HVDC schemes, transient stability is independent of the topology used.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038786","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475152
F. Khan, M. Iqbal
This paper presents a novel electromagnetic-based bridge energy harvester (EBEH) utilizing bridge vibrations and ambient wind to harvest energy for wireless sensor nodes (WSNs) used for monitoring the health of bridges. The architecture, working principle, fabrication and characterization of the harvester is discussed. The harvester consists of a fixed wound coil, a permanent magnet, an airfoil, a cantilever beam and a base support. The harvester is characterized both under ambient vibration and wind energies. The EBEH generated an open circuit voltage of about 1 V at resonance and under 1 g base acceleration. However, when a load resistance of 54.5 Ω is connected across its terminals, it produced an rms voltage of 290 mV. Moreover, the harvester delivered a maximum power of 354.5 μW to matching impedance at the first resonant frequency of 3.6 Hz, when provided an excitation level of 0.4 g.
{"title":"Electromagnetic-based bridge energy harvester using traffic-induced bridge's vibrations and ambient wind","authors":"F. Khan, M. Iqbal","doi":"10.1109/INTELSE.2016.7475152","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475152","url":null,"abstract":"This paper presents a novel electromagnetic-based bridge energy harvester (EBEH) utilizing bridge vibrations and ambient wind to harvest energy for wireless sensor nodes (WSNs) used for monitoring the health of bridges. The architecture, working principle, fabrication and characterization of the harvester is discussed. The harvester consists of a fixed wound coil, a permanent magnet, an airfoil, a cantilever beam and a base support. The harvester is characterized both under ambient vibration and wind energies. The EBEH generated an open circuit voltage of about 1 V at resonance and under 1 g base acceleration. However, when a load resistance of 54.5 Ω is connected across its terminals, it produced an rms voltage of 290 mV. Moreover, the harvester delivered a maximum power of 354.5 μW to matching impedance at the first resonant frequency of 3.6 Hz, when provided an excitation level of 0.4 g.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122958265","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 : 2016-05-23DOI: 10.1109/INTELSE.2016.7475114
T. Kamal, S. Z. Hassan, Hui Li, Sidra Mumtaz, L. Khan
This manuscript explains an energy management and control of grid-connected Hybrid Renewable Energy System (HRES). It describes a Wind Turbine (WT) and hybrid energy storage system based on hydrogen technology (fuel cell), and battery. DC/DC converters are used to connect all the energy sources and storage system to a common DC bus. The output of DC bus is integrated to the national grid through three phase inverter to increase the continuity of power. The proposed HRES is working under classical-based supervisory control algorithm. According to the proposed algorithm, the wind is used the primary energy source to satisfy the load demands. The fuel cell is used to ensure long-term energy balance by using the hydrogen technology. The battery is utilized as a backup and high energy density device to keep the DC-bus voltage constant. The performance of the HRES is verified under real-world record of wind speed and load variations for the twenty five households at Islamabad, Pakistan. Matlab/Simulink results are provided to show the right performance of the proposed system in terms of load tracking, voltage regulation, and grid stability.
{"title":"Energy management and control of grid-connected wind/fuel cell/battery Hybrid Renewable Energy System","authors":"T. Kamal, S. Z. Hassan, Hui Li, Sidra Mumtaz, L. Khan","doi":"10.1109/INTELSE.2016.7475114","DOIUrl":"https://doi.org/10.1109/INTELSE.2016.7475114","url":null,"abstract":"This manuscript explains an energy management and control of grid-connected Hybrid Renewable Energy System (HRES). It describes a Wind Turbine (WT) and hybrid energy storage system based on hydrogen technology (fuel cell), and battery. DC/DC converters are used to connect all the energy sources and storage system to a common DC bus. The output of DC bus is integrated to the national grid through three phase inverter to increase the continuity of power. The proposed HRES is working under classical-based supervisory control algorithm. According to the proposed algorithm, the wind is used the primary energy source to satisfy the load demands. The fuel cell is used to ensure long-term energy balance by using the hydrogen technology. The battery is utilized as a backup and high energy density device to keep the DC-bus voltage constant. The performance of the HRES is verified under real-world record of wind speed and load variations for the twenty five households at Islamabad, Pakistan. Matlab/Simulink results are provided to show the right performance of the proposed system in terms of load tracking, voltage regulation, and grid stability.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937380","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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