Pub Date : 2019-10-01DOI: 10.1109/IECON.2019.8927383
Hiroki Arai, Y. Uchimura
This paper proposes a model-predictive control (MPC) based method to compensate systems with time-varying delay. The proposed method uses a prediction model to estimate the future state of a controlled object. In case the system includes time-varying delay, the model based predictor on the local side is compelled to assume maximum delay for sending packets. However most of the packets will arrive within the maximum delay. In this paper, we propose to utilize the early-arriving packets to generate a reference trajectory for model predictive control on the remote side. The proposal of this paper is a method to deal with varying horizon for model predictive control. The performance of the proposal was evaluated by comparing the proposed method with a conventional method by conducting numerical simulations and experiments with a human operator.
{"title":"Model Predictive Control with Variable Prediction Horizon for a System including Time-varying Delay","authors":"Hiroki Arai, Y. Uchimura","doi":"10.1109/IECON.2019.8927383","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927383","url":null,"abstract":"This paper proposes a model-predictive control (MPC) based method to compensate systems with time-varying delay. The proposed method uses a prediction model to estimate the future state of a controlled object. In case the system includes time-varying delay, the model based predictor on the local side is compelled to assume maximum delay for sending packets. However most of the packets will arrive within the maximum delay. In this paper, we propose to utilize the early-arriving packets to generate a reference trajectory for model predictive control on the remote side. The proposal of this paper is a method to deal with varying horizon for model predictive control. The performance of the proposal was evaluated by comparing the proposed method with a conventional method by conducting numerical simulations and experiments with a human operator.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112808","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 : 2019-10-01DOI: 10.1109/IECON.2019.8927642
M. Slunjski, Martin Jones, E. Levi
This paper investigates an enhanced field-oriented control method for a two-pole surface permanent magnet synchronous machine (PMSM) with a symmetrical nine-phase winding configuration and a single neutral point. Magnets on the rotor are shortened, reducing cost of the machine, but cause production of highly non-sinusoidal back-electromotive force (EMF). FFT analysis of the EMF reveals a high third harmonic component, which is almost equal in magnitude to the fundamental. By investigating possible torque improvements using FEM software simulations, it was shown previously that, if controlled under optimal third harmonic current injection, the electromagnetic torque of the studied PMSM can be improved by up to 36%. The optimal current harmonic injection ratio between the fundamental and the third harmonic is determined first in this paper, using the maximum torque-per-ampere method (MTPA). An enhanced high-performance field-oriented control (FOC) algorithm to control a nine-phase non-sinusoidal back-EMF PM synchronous machine is devised next. The developed improved control algorithm is verified using simulation studies and further validated using an experimental prototype.
{"title":"Control of a Symmetrical Nine-phase PMSM with Highly Non-Sinusoidal Back-Electromotive Force Using Third harmonic Current Injection","authors":"M. Slunjski, Martin Jones, E. Levi","doi":"10.1109/IECON.2019.8927642","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927642","url":null,"abstract":"This paper investigates an enhanced field-oriented control method for a two-pole surface permanent magnet synchronous machine (PMSM) with a symmetrical nine-phase winding configuration and a single neutral point. Magnets on the rotor are shortened, reducing cost of the machine, but cause production of highly non-sinusoidal back-electromotive force (EMF). FFT analysis of the EMF reveals a high third harmonic component, which is almost equal in magnitude to the fundamental. By investigating possible torque improvements using FEM software simulations, it was shown previously that, if controlled under optimal third harmonic current injection, the electromagnetic torque of the studied PMSM can be improved by up to 36%. The optimal current harmonic injection ratio between the fundamental and the third harmonic is determined first in this paper, using the maximum torque-per-ampere method (MTPA). An enhanced high-performance field-oriented control (FOC) algorithm to control a nine-phase non-sinusoidal back-EMF PM synchronous machine is devised next. The developed improved control algorithm is verified using simulation studies and further validated using an experimental prototype.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015509","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 : 2019-10-01DOI: 10.1109/IECON.2019.8927509
Huan Pan, H. Lian, Chunning Na
The smart grid consists of two parts, one is the physical power grid, the other is the information network. In order to study the cascading failure, the vulnerability analysis of the smart grid is done under a kind of community attack style in this paper. Two types of information networks are considered, i.e. topology consistency and scale-free cyber networks, respectively. The concept of control center is presented and the controllable power nodes and observable power lines are defined. Minimum load reduction model(MLRM) is given and described as a linear programming problem. A index is introduced to assess the vulnerability. New England 39 nodes system is applied to simulate the cascading failure process to demonstrate the effectiveness of the proposed MLRM where community the attack methods include attack the power lines among and in power communities.
{"title":"Vulnerability Analysis of Smart Grid under Community Attack Style","authors":"Huan Pan, H. Lian, Chunning Na","doi":"10.1109/IECON.2019.8927509","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927509","url":null,"abstract":"The smart grid consists of two parts, one is the physical power grid, the other is the information network. In order to study the cascading failure, the vulnerability analysis of the smart grid is done under a kind of community attack style in this paper. Two types of information networks are considered, i.e. topology consistency and scale-free cyber networks, respectively. The concept of control center is presented and the controllable power nodes and observable power lines are defined. Minimum load reduction model(MLRM) is given and described as a linear programming problem. A index is introduced to assess the vulnerability. New England 39 nodes system is applied to simulate the cascading failure process to demonstrate the effectiveness of the proposed MLRM where community the attack methods include attack the power lines among and in power communities.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116164606","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 : 2019-10-01DOI: 10.1109/IECON.2019.8926738
Fabrice Kbidi, C. Damour, D. Grondin, M. Hilairet, M. Benne
Hydrogen is a great energy vector to deal with the renewable energy integration. Indeed, use renewable energies to produce electrolytic hydrogen with water electrolysis and then convert the energy stored to produce electricity with a fuel cell is a solution to deal with the stochastic characteristics of renewables like photovoltaic or wind turbine. However, fuel cells and electrolysers need to be used in specific operating conditions. Multi-time-scale energy management systems can be used to ensure that the operating conditions constraints are respected for each unit. This paper deals with a two-time scale energy management system to treat with the fuel cells and electrolyser specifications. The first stage ensures that the technical specifications of each unit are respected and the second stage uses weather prediction to ensure the minimal start/stop time recommendations of the fuel cell and the electrolyser.
{"title":"Optimal fuel cell and electrolyser Energy Management System for microgrid","authors":"Fabrice Kbidi, C. Damour, D. Grondin, M. Hilairet, M. Benne","doi":"10.1109/IECON.2019.8926738","DOIUrl":"https://doi.org/10.1109/IECON.2019.8926738","url":null,"abstract":"Hydrogen is a great energy vector to deal with the renewable energy integration. Indeed, use renewable energies to produce electrolytic hydrogen with water electrolysis and then convert the energy stored to produce electricity with a fuel cell is a solution to deal with the stochastic characteristics of renewables like photovoltaic or wind turbine. However, fuel cells and electrolysers need to be used in specific operating conditions. Multi-time-scale energy management systems can be used to ensure that the operating conditions constraints are respected for each unit. This paper deals with a two-time scale energy management system to treat with the fuel cells and electrolyser specifications. The first stage ensures that the technical specifications of each unit are respected and the second stage uses weather prediction to ensure the minimal start/stop time recommendations of the fuel cell and the electrolyser.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"409 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116242387","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 : 2019-10-01DOI: 10.1109/IECON.2019.8926775
Wai-Kit Sou, Cheng Gong, Chi-Wa Chao, C. Lam
With the characteristics of a low dc-link operating voltage of the active inverter part and thyristor controlled passive part, the hybrid-coupling grid-connected inverter (HGCI) can reduce the system and operational costs as well as extend the operational range compared with the conventional inductive-coupling grid-connected inverter (IGCI) and capacitive-coupling grid-connected inverter (CGCI) for the renewable energy generation. In this paper, a control strategy by using proportional-integral (PI) controller of the HGCI for active power injection and unbalanced non-active power compensation will be proposed and presented, which can reduce the switching current ripple and obtain better active and non-active power compensation compared with the conventional hysteresis current controller. Finally, simulation and experimental results are provided to verify the performance of the designed PI controller for the HGCI under unbalanced loads operation.
{"title":"Design of Proportional-Integral Controller of Hybrid Grid-Connected Inverter for Active Power Injection and Unbalanced Non-Active Power Compensation","authors":"Wai-Kit Sou, Cheng Gong, Chi-Wa Chao, C. Lam","doi":"10.1109/IECON.2019.8926775","DOIUrl":"https://doi.org/10.1109/IECON.2019.8926775","url":null,"abstract":"With the characteristics of a low dc-link operating voltage of the active inverter part and thyristor controlled passive part, the hybrid-coupling grid-connected inverter (HGCI) can reduce the system and operational costs as well as extend the operational range compared with the conventional inductive-coupling grid-connected inverter (IGCI) and capacitive-coupling grid-connected inverter (CGCI) for the renewable energy generation. In this paper, a control strategy by using proportional-integral (PI) controller of the HGCI for active power injection and unbalanced non-active power compensation will be proposed and presented, which can reduce the switching current ripple and obtain better active and non-active power compensation compared with the conventional hysteresis current controller. Finally, simulation and experimental results are provided to verify the performance of the designed PI controller for the HGCI under unbalanced loads operation.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116561033","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 : 2019-10-01DOI: 10.1109/IECON.2019.8927258
K. Shiluveru, Ashutosh Kumar Singh, Anish Ahmad, R. Singh, A. R. Beig
A high gain embedded dual switched capacitor boost-based impedance source DC-DC converter is presented in this paper. The converter is continuous input current based high gain converter which uses fewer passive components, lower capacitors voltage stress to achieve high voltage gain and inherits all the properties of impedance source network. This converter is suitable for batteries, photovoltaic, fuel cells for microgrid applications where the available input voltage is low and needs to step up by a huge value. The detailed analysis of operating principle and steady-state analysis are discussed to show the advantages of the proposed DC-DC converter. To verify the operation of the proposed converter, a hardware prototype is designed and implemented in the laboratory and the corresponding results are discussed in this paper.
{"title":"Switched Capacitor Embedded High Gain Impedance Source DC-DC Converter","authors":"K. Shiluveru, Ashutosh Kumar Singh, Anish Ahmad, R. Singh, A. R. Beig","doi":"10.1109/IECON.2019.8927258","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927258","url":null,"abstract":"A high gain embedded dual switched capacitor boost-based impedance source DC-DC converter is presented in this paper. The converter is continuous input current based high gain converter which uses fewer passive components, lower capacitors voltage stress to achieve high voltage gain and inherits all the properties of impedance source network. This converter is suitable for batteries, photovoltaic, fuel cells for microgrid applications where the available input voltage is low and needs to step up by a huge value. The detailed analysis of operating principle and steady-state analysis are discussed to show the advantages of the proposed DC-DC converter. To verify the operation of the proposed converter, a hardware prototype is designed and implemented in the laboratory and the corresponding results are discussed in this paper.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116580139","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 : 2019-10-01DOI: 10.1109/IECON.2019.8927789
V. Gasiyarov, A. Radionov, A. Karandaev, B. Loginov, V. Khramshin, A. Maklakov
Automatic control of a rolled workpiece profile is recognized as a powerful tool that helps improve the quality of rolling mill products. The paper reviews a CVCPlus technology with a WRB system of work roll bending in the process of rolling. It considers the functions of the axial shifting system for S-shaped work rolls (WRS) within CVC. It is noted that the interconnected operation of these systems has been studied insufficiently. The authors present a functional diagram for the automatic system of gap profile and roll bending adjustment on a 5,000 mm plate mill. They analyze the oscillograph records that describe operation of the WRB and WRS systems. The authors point out the flaws in the settings of these systems and provide rationalization for ways of their improvement. A new algorithm ensuring enhanced performance and higher accuracy of force control in the hydraulic cylinders of the WRB system is proposed. An algorithm for reducing the force in the WRS hydraulic cylinders in CVC-motion mode is introduced. The oscillograph records obtained in the process of implementation of the proposed algorithms are provided. It was verified that the obtained results complied with the expected ones. The developed algorithms are recommended for implementation on the 5,000 mm mill.
{"title":"Coordinating the Modes of the Axial Roll Shifting and Roll Bending Systems of a Roll Mill Stand","authors":"V. Gasiyarov, A. Radionov, A. Karandaev, B. Loginov, V. Khramshin, A. Maklakov","doi":"10.1109/IECON.2019.8927789","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927789","url":null,"abstract":"Automatic control of a rolled workpiece profile is recognized as a powerful tool that helps improve the quality of rolling mill products. The paper reviews a CVCPlus technology with a WRB system of work roll bending in the process of rolling. It considers the functions of the axial shifting system for S-shaped work rolls (WRS) within CVC. It is noted that the interconnected operation of these systems has been studied insufficiently. The authors present a functional diagram for the automatic system of gap profile and roll bending adjustment on a 5,000 mm plate mill. They analyze the oscillograph records that describe operation of the WRB and WRS systems. The authors point out the flaws in the settings of these systems and provide rationalization for ways of their improvement. A new algorithm ensuring enhanced performance and higher accuracy of force control in the hydraulic cylinders of the WRB system is proposed. An algorithm for reducing the force in the WRS hydraulic cylinders in CVC-motion mode is introduced. The oscillograph records obtained in the process of implementation of the proposed algorithms are provided. It was verified that the obtained results complied with the expected ones. The developed algorithms are recommended for implementation on the 5,000 mm mill.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122320875","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 : 2019-10-01DOI: 10.1109/IECON.2019.8927667
Tunan Shen, Yuping Chen, C. Thulfaut, H. Reuss
In highly automated electric vehicles, the reliability of the electrical powertrain system is very important. A fault of a current sensor should be detected in an early stage to avoid a critical failure, which would lead to breakdown of the vehicle. This paper focuses on the gain fault of a current sensor on a permanent magnet synchronous machine (PMSM) and proposes a data based diagnostic concept, which is able to detect the fault and its severity in short time. After analyzing simulation data in healthy and faulty conditions, several basic features of current signals in time domain are generated. Subsequently, the three most effective features for the fault detection are chosen with a proposed feature selection tool. Then, three different machine learning algorithms (linear regression, decision tree and neural network) are used to train models with the selected features. The performance and characteristics of each model are compared. The neural network model has the lowest prediction error on the severity of fault. For standstill condition, another well performed diagnostic concept is developed with the same approach. The advantage of the data based approach is to reduce the effort on searching appropriate features by using machine learning algorithm. Therefore, diagnostic concepts for new faults or machines can be quickly developed because the most work of a data based diagnostic concept can be done automatically.
{"title":"A Data Based Diagnostic Method for Current Sensor Fault in Permanent Magnet Synchronous Motors (PMSM)","authors":"Tunan Shen, Yuping Chen, C. Thulfaut, H. Reuss","doi":"10.1109/IECON.2019.8927667","DOIUrl":"https://doi.org/10.1109/IECON.2019.8927667","url":null,"abstract":"In highly automated electric vehicles, the reliability of the electrical powertrain system is very important. A fault of a current sensor should be detected in an early stage to avoid a critical failure, which would lead to breakdown of the vehicle. This paper focuses on the gain fault of a current sensor on a permanent magnet synchronous machine (PMSM) and proposes a data based diagnostic concept, which is able to detect the fault and its severity in short time. After analyzing simulation data in healthy and faulty conditions, several basic features of current signals in time domain are generated. Subsequently, the three most effective features for the fault detection are chosen with a proposed feature selection tool. Then, three different machine learning algorithms (linear regression, decision tree and neural network) are used to train models with the selected features. The performance and characteristics of each model are compared. The neural network model has the lowest prediction error on the severity of fault. For standstill condition, another well performed diagnostic concept is developed with the same approach. The advantage of the data based approach is to reduce the effort on searching appropriate features by using machine learning algorithm. Therefore, diagnostic concepts for new faults or machines can be quickly developed because the most work of a data based diagnostic concept can be done automatically.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688091","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 : 2019-10-01DOI: 10.1109/IECON.2019.8926786
Enes Durbaba, Eyup Akpinar, A. Balikci, Buket Turan Azizoğlu, Ali Eren Kocamis
This paper presents the realization of communication process between the digital signal processing unit and the MATLAB/Simulink during the simulation of power converter with its controller. The application of the hardware in the loop is of great importance for the designer to estimate the effect of digital signal processing unit on the controller response and system stability. The DC to DC boost converter is operated as the maximum power point tracker and predicted current controller is used with the perturb and observe algorithm in the photovoltaic system. The circuit of the boost converter is kept in the Simulink whereas the entire controller is programmed on the digital signal processing unit.
{"title":"Fast Prototyping of A Photovoltaic System by Using DSP in MATLAB Simulation Loop","authors":"Enes Durbaba, Eyup Akpinar, A. Balikci, Buket Turan Azizoğlu, Ali Eren Kocamis","doi":"10.1109/IECON.2019.8926786","DOIUrl":"https://doi.org/10.1109/IECON.2019.8926786","url":null,"abstract":"This paper presents the realization of communication process between the digital signal processing unit and the MATLAB/Simulink during the simulation of power converter with its controller. The application of the hardware in the loop is of great importance for the designer to estimate the effect of digital signal processing unit on the controller response and system stability. The DC to DC boost converter is operated as the maximum power point tracker and predicted current controller is used with the perturb and observe algorithm in the photovoltaic system. The circuit of the boost converter is kept in the Simulink whereas the entire controller is programmed on the digital signal processing unit.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122697594","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 : 2019-10-01DOI: 10.1109/IECON.2019.8926699
Vijesh Jayan, A. Ghias, A. Merabet
This paper presents a finite control set model predictive control (FCS-MPC) of a three-level bi-directional flying capacitor DC-DC converter for energy management application in a DC microgrid. The presence of three voltage levels give the converter advantage of having reduced voltage stress on the power switches and low ripple in its inductor current. Additionally, the capability of having bi-directional power flow enables the converter to integrate energy storage devices such as the battery to a DC microgrid effectively. An FCS-MPC algorithm is formulated using the developed mathematical model in order to yield the dual objective of bi-directional power flow and flying capacitor voltage balancing. Furthermore, a DC microgrid comprising photo-voltaic (PV) system, load, and battery are considered to assess the effectiveness of the designed FCS- MPC algorithm under varying load and PV power injections.
{"title":"Modeling and Control of Three-level Bi-directional Flying Capacitor DC- DC converter in DC microgrid","authors":"Vijesh Jayan, A. Ghias, A. Merabet","doi":"10.1109/IECON.2019.8926699","DOIUrl":"https://doi.org/10.1109/IECON.2019.8926699","url":null,"abstract":"This paper presents a finite control set model predictive control (FCS-MPC) of a three-level bi-directional flying capacitor DC-DC converter for energy management application in a DC microgrid. The presence of three voltage levels give the converter advantage of having reduced voltage stress on the power switches and low ripple in its inductor current. Additionally, the capability of having bi-directional power flow enables the converter to integrate energy storage devices such as the battery to a DC microgrid effectively. An FCS-MPC algorithm is formulated using the developed mathematical model in order to yield the dual objective of bi-directional power flow and flying capacitor voltage balancing. Furthermore, a DC microgrid comprising photo-voltaic (PV) system, load, and battery are considered to assess the effectiveness of the designed FCS- MPC algorithm under varying load and PV power injections.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122517986","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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