Pub Date : 2020-10-18DOI: 10.1109/IECON43393.2020.9254806
M. Xiao, Zhitao Liu, H. Su, Weihua Xu
In this paper, the distributed cooperative control for a class of nonlinear multi-agent systems connected by undirected graph is investigated. The dynamic of each agent is first order with unknown mismatched parameters and external disturbances. To reduce the communication burden between each agent and decrease the update frequency of the controllers, the fixed threshold event-triggered mechanisms are considered during the states’s broadcasting and the control signals. Based on the adaptive method, the event-based cooperative control protocol is constructed. The asymptotically consensus tracking of all agents are guaranteed and the signals in the closed-loop system are bounded, meanwhile the Zeno behavior is excluded. Simulation results of four agents show the effectiveness and performance of the proposed method.
{"title":"Distributed Adaptive Cooperative Control for a Class of Nonlinear Multi-Agent Systems via Fully Event-triggered Mechanism","authors":"M. Xiao, Zhitao Liu, H. Su, Weihua Xu","doi":"10.1109/IECON43393.2020.9254806","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254806","url":null,"abstract":"In this paper, the distributed cooperative control for a class of nonlinear multi-agent systems connected by undirected graph is investigated. The dynamic of each agent is first order with unknown mismatched parameters and external disturbances. To reduce the communication burden between each agent and decrease the update frequency of the controllers, the fixed threshold event-triggered mechanisms are considered during the states’s broadcasting and the control signals. Based on the adaptive method, the event-based cooperative control protocol is constructed. The asymptotically consensus tracking of all agents are guaranteed and the signals in the closed-loop system are bounded, meanwhile the Zeno behavior is excluded. Simulation results of four agents show the effectiveness and performance of the proposed method.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"20 1","pages":"180-185"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84015435","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255200
I. Harbi, Mohamed Abdelrahem, R. Kennel, C. Hackl
In this paper, an efficient finite control set model predictive control (FCS-MPC) for single-phase multilevel inverter (MLI) is proposed. The MLI topology under control reduces the number of the required semiconductor switches and produces more number of levels compared to traditional and recent topologies of MLIs. This topology has 49 different switching states, which means 49 predictions of the future current and 49 calculations of the cost function are required for each evaluation of the conventional FCS-MPC. Accordingly, the computational load is heavy. Thus, this paper presents a simplified FCS-MPC to reduce the calculation burden by computing the reference voltage and dividing the switching states of the MLI into two sets. Based on the reference voltage, one set is identified to determine the optimum voltage level. The proposed method does not require current predictions. Moreover, the number of cost function evaluations for each iteration is halved. As a result, the execution time is significantly reduced compared to that of the conventional FCS-MPC. The trade-off between the average switching frequency and the tracking performance is also investigated for the proposed scheme and compared to the conventional FCS-MPC. The effectiveness of the proposed solution in transient and steady state is verified by the simulation results.
{"title":"Simplified Model Predictive Current Control for Single-Phase Multilevel Inverter","authors":"I. Harbi, Mohamed Abdelrahem, R. Kennel, C. Hackl","doi":"10.1109/IECON43393.2020.9255200","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255200","url":null,"abstract":"In this paper, an efficient finite control set model predictive control (FCS-MPC) for single-phase multilevel inverter (MLI) is proposed. The MLI topology under control reduces the number of the required semiconductor switches and produces more number of levels compared to traditional and recent topologies of MLIs. This topology has 49 different switching states, which means 49 predictions of the future current and 49 calculations of the cost function are required for each evaluation of the conventional FCS-MPC. Accordingly, the computational load is heavy. Thus, this paper presents a simplified FCS-MPC to reduce the calculation burden by computing the reference voltage and dividing the switching states of the MLI into two sets. Based on the reference voltage, one set is identified to determine the optimum voltage level. The proposed method does not require current predictions. Moreover, the number of cost function evaluations for each iteration is halved. As a result, the execution time is significantly reduced compared to that of the conventional FCS-MPC. The trade-off between the average switching frequency and the tracking performance is also investigated for the proposed scheme and compared to the conventional FCS-MPC. The effectiveness of the proposed solution in transient and steady state is verified by the simulation results.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"329 1","pages":"3079-3084"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78335762","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255238
Lifu Ding, Zhiyun Lin, Gangfeng Yan
With the development of large-scale power grids, the issue of distributed economic dispatch has received considerable critical attention. However, due to the existence of some effects such as valve-point effects, the nonconvex objective function remains a major challenge for the distributed optimization problem. This paper proposes a cooperative deep reinforcement learning algorithm for distributed economic dispatch with the nonconvex objective function. In the distributed algorithm, all nodes obtain the value of actions by observing the environment and update state-action-value function in coordination with local neighbors. The state-action-value function is approximated by a neural network, which allows the algorithm to be used for large and continuous state spaces. The advantages of the algorithm are demonstrated through several case studies.
{"title":"Multi-agent Deep Reinforcement Learning Algorithm for Distributed Economic Dispatch in Smart Grid","authors":"Lifu Ding, Zhiyun Lin, Gangfeng Yan","doi":"10.1109/IECON43393.2020.9255238","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255238","url":null,"abstract":"With the development of large-scale power grids, the issue of distributed economic dispatch has received considerable critical attention. However, due to the existence of some effects such as valve-point effects, the nonconvex objective function remains a major challenge for the distributed optimization problem. This paper proposes a cooperative deep reinforcement learning algorithm for distributed economic dispatch with the nonconvex objective function. In the distributed algorithm, all nodes obtain the value of actions by observing the environment and update state-action-value function in coordination with local neighbors. The state-action-value function is approximated by a neural network, which allows the algorithm to be used for large and continuous state spaces. The advantages of the algorithm are demonstrated through several case studies.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"78 1","pages":"3529-3534"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78372318","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254601
Zhengfa Zhang, F. Silva, Yifei Guo, C. Bak, Zhe Chen
This paper presents a double-stage voltage control method based on model predictive control to address the voltage regulation in distribution network with high penetration of distributed generation. In the first stage, the operation times of transformer with on-load tap changer and switchable capacitor banks are minimized in hourly timescale. In the second stage, the controller minimizes the distributed generation curtailment while guaranteeing bus voltages within allowed limits with a control period of 1 min. In this paper, an analytical method is applied to calculate the voltage sensitivities with respect to power injections and tap changes. Numerical simulations of a modified IEEE-33 bus system are performed to validate the proposed method.
{"title":"MPC-based Double-Stage Voltage Control of Distribution Networks with High Penetration of Distributed Generation","authors":"Zhengfa Zhang, F. Silva, Yifei Guo, C. Bak, Zhe Chen","doi":"10.1109/IECON43393.2020.9254601","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254601","url":null,"abstract":"This paper presents a double-stage voltage control method based on model predictive control to address the voltage regulation in distribution network with high penetration of distributed generation. In the first stage, the operation times of transformer with on-load tap changer and switchable capacitor banks are minimized in hourly timescale. In the second stage, the controller minimizes the distributed generation curtailment while guaranteeing bus voltages within allowed limits with a control period of 1 min. In this paper, an analytical method is applied to calculate the voltage sensitivities with respect to power injections and tap changes. Numerical simulations of a modified IEEE-33 bus system are performed to validate the proposed method.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"1633-1638"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78551200","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255108
M. Siddique, A. Iqbal, M. Al-Hitmi
This paper aims to improve the power and voltage quality of a new multilevel inverter which contains a smaller number of switches in the specified voltage levels. The single phase of the proposed inverter includes 8 electronic power devices with three dc voltage sources for the seven-level waveforms. Selective harmonic elimination (SHE) technique has been used for the dominant harmonic elimination. The results of the proposed structure with traditional topologies and similar topologies show that, in terms of switch number, driver number, and the total blocking voltage, the proposed structure was superior to the previous versions. This topology is studied by simulations in the environment of PLECS.
{"title":"A New Seven-Level Inverter Topology with Reduced Switch Number","authors":"M. Siddique, A. Iqbal, M. Al-Hitmi","doi":"10.1109/IECON43393.2020.9255108","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255108","url":null,"abstract":"This paper aims to improve the power and voltage quality of a new multilevel inverter which contains a smaller number of switches in the specified voltage levels. The single phase of the proposed inverter includes 8 electronic power devices with three dc voltage sources for the seven-level waveforms. Selective harmonic elimination (SHE) technique has been used for the dominant harmonic elimination. The results of the proposed structure with traditional topologies and similar topologies show that, in terms of switch number, driver number, and the total blocking voltage, the proposed structure was superior to the previous versions. This topology is studied by simulations in the environment of PLECS.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"64 3 1","pages":"3285-3290"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77428559","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254968
Linan Wang, Bo Yu, Haibo Du, Di Wu, Wenwu Zhu, Shihong Ding
This paper mainly studies the control problem of permanent magnet synchronous motor (PMSM) speed control system. Firstly, by analyzing the error dynamics equation of PMSM, an appropriate integral fixed-time sliding mode surface is selected. Then, an integral fixed-time sliding mode control algorithm is designed through the selected integral sliding mode surface. Finally, comparison results of numerical simulations are provided to verify the effectiveness of the proposed control method.
{"title":"Speed Regulation for PMSM Based on Fixed-time Sliding Mode Control","authors":"Linan Wang, Bo Yu, Haibo Du, Di Wu, Wenwu Zhu, Shihong Ding","doi":"10.1109/IECON43393.2020.9254968","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254968","url":null,"abstract":"This paper mainly studies the control problem of permanent magnet synchronous motor (PMSM) speed control system. Firstly, by analyzing the error dynamics equation of PMSM, an appropriate integral fixed-time sliding mode surface is selected. Then, an integral fixed-time sliding mode control algorithm is designed through the selected integral sliding mode surface. Finally, comparison results of numerical simulations are provided to verify the effectiveness of the proposed control method.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"2014 1","pages":"5105-5109"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73295003","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254593
Jinpin Zhao, Weimin Wu, H. Chung, F. Blaabjerg
The Passivity-Based Control (PBC) has been adopted in LCL-filtered grid-tied inverter (GTI). However, the conventional PBC method depends much on accurate mathematical model, where zero steady-state error can’t be realized when the accurate model parameters are not available or parameters drift occur. Furthermore, due to the utilizing of three state variables in the conventional PBC controller for LCL-filtered GTI, twelve sensors (voltage and current) must be used in a three phase system, which increase the costs and the failure rate of hardware. In order to handle the problems, a novel state observer based modified PBC (SOMPBC) controller for LCL-filtered GTI is proposed in this paper. Six sensors can be saved by the state observer and zero steady-state error can be easily realized by two modified control methods, where an integral regulator is insert into the conventional PBC controller with two different ways. Simulation platform is built in MATLAB/Simulink and a 3-kW experimental device is carried out with DS1202 to verify the correctness and effectiveness of proposed control method.
{"title":"A Novel State-Observer-Based PBC Controller for LCL-Filtered Grid-Tied Inverter with Less Sensors and Zero Steady-State Error","authors":"Jinpin Zhao, Weimin Wu, H. Chung, F. Blaabjerg","doi":"10.1109/IECON43393.2020.9254593","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254593","url":null,"abstract":"The Passivity-Based Control (PBC) has been adopted in LCL-filtered grid-tied inverter (GTI). However, the conventional PBC method depends much on accurate mathematical model, where zero steady-state error can’t be realized when the accurate model parameters are not available or parameters drift occur. Furthermore, due to the utilizing of three state variables in the conventional PBC controller for LCL-filtered GTI, twelve sensors (voltage and current) must be used in a three phase system, which increase the costs and the failure rate of hardware. In order to handle the problems, a novel state observer based modified PBC (SOMPBC) controller for LCL-filtered GTI is proposed in this paper. Six sensors can be saved by the state observer and zero steady-state error can be easily realized by two modified control methods, where an integral regulator is insert into the conventional PBC controller with two different ways. Simulation platform is built in MATLAB/Simulink and a 3-kW experimental device is carried out with DS1202 to verify the correctness and effectiveness of proposed control method.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"82 1","pages":"4045-4050"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77131558","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254377
J. Hou, Yeling Guo
To simplify the control circuity, the output of the inductive power transfer (IPT) system is usually designed to be independent of load. However, since the physical parameters of the loosely coupled transformer explicitly appear in the analysis model used during the design process, the load-independent output inevitably relates to the transformer’s parameters, making the design procedure complicated and needs iterative process to meet both output requirement and transformer’s space constrain. In this paper, the derivation of the compensating parameters to achieve output voltage gain which is irrelevant to load and transformer’s parameters based on mathematical analysis is presented. Also, an implicit transformer model, in which the transformer ratio is irrelevant to physical parameters, is introduced to give an intuitive explanation of the compensating method. By changing compensation parameters, the output voltage of the basic S/S compensation can be adjusted according to different system requirements without redesigning transformer. The decoupling of IPT output and transformer’s physical parameters gives high freedom of transformer design. The criteria of adjustable voltage gain is revealed based on the mathematical analysis. Prototypes based on a single loosely coupled transformer are built to demonstrate the correctness of the theoretical analysis.
{"title":"Characteristics Analysis of Series/Series Compensated IPT Converter With Adjustable Load-Independent Output Voltage","authors":"J. Hou, Yeling Guo","doi":"10.1109/IECON43393.2020.9254377","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254377","url":null,"abstract":"To simplify the control circuity, the output of the inductive power transfer (IPT) system is usually designed to be independent of load. However, since the physical parameters of the loosely coupled transformer explicitly appear in the analysis model used during the design process, the load-independent output inevitably relates to the transformer’s parameters, making the design procedure complicated and needs iterative process to meet both output requirement and transformer’s space constrain. In this paper, the derivation of the compensating parameters to achieve output voltage gain which is irrelevant to load and transformer’s parameters based on mathematical analysis is presented. Also, an implicit transformer model, in which the transformer ratio is irrelevant to physical parameters, is introduced to give an intuitive explanation of the compensating method. By changing compensation parameters, the output voltage of the basic S/S compensation can be adjusted according to different system requirements without redesigning transformer. The decoupling of IPT output and transformer’s physical parameters gives high freedom of transformer design. The criteria of adjustable voltage gain is revealed based on the mathematical analysis. Prototypes based on a single loosely coupled transformer are built to demonstrate the correctness of the theoretical analysis.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"13 1","pages":"3878-3883"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81781905","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254663
Haibo Gu, Kexin Liu, Jinhu Lu, Z. Ren
With the development of swarm intelligence in last decades, consensus problem of multi-agent systems has been attracting much attention. To reveal the inherent mechanism of leader-following consensus in multi-agent systems with stochastic dynamics, PI control protocols are designed in this paper. Owing to the stochastic analysis techniques, algebraic graph theory, and constructing appropriate Lyapunov function, it is proved that the leader-following consensus of nonlinear stochastic dynamical multi-agent systems can be reached in mean square. Sufficient condition are deduced to select the PI control protocol parameters. Finally, the theoretical results are demonstrated through a simulation example.
{"title":"Leader-Following Consensus of Stochastic Dynamical Multi-Agent Systems Under PI Control","authors":"Haibo Gu, Kexin Liu, Jinhu Lu, Z. Ren","doi":"10.1109/IECON43393.2020.9254663","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254663","url":null,"abstract":"With the development of swarm intelligence in last decades, consensus problem of multi-agent systems has been attracting much attention. To reveal the inherent mechanism of leader-following consensus in multi-agent systems with stochastic dynamics, PI control protocols are designed in this paper. Owing to the stochastic analysis techniques, algebraic graph theory, and constructing appropriate Lyapunov function, it is proved that the leader-following consensus of nonlinear stochastic dynamical multi-agent systems can be reached in mean square. Sufficient condition are deduced to select the PI control protocol parameters. Finally, the theoretical results are demonstrated through a simulation example.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"99 1","pages":"285-290"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82354121","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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