Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453582
Sebastian Friedl, Tonja Heinemann, A. Lechler, O. Riedel
Due to its importance in the Industry 4.0 movement, the usage of OPC UA has increased in recent years. More and more vendor-independent and domain-specific models are developed as so-called Companion Specifications. OPC UA Profiles allow to subdivide functionality within the Companion Specifications, and thus offer flexibility to the standards. An OPC UA Profile is a set of individually testable entities called Conformance Units, which are also defined within the Companion Specification. In this work, similarities between Conformance Units defined by different working groups are analyzed and grouped in CU classes by the scope of the Conformance Units. For the most prevalent CU classes, textual templates are suggested, based on the typical formulations in existing Companion Specifications. These templates are intended to ease the development of Companion Specifications and the Conformance Units therein. The CU classes identified in this work suggest the templates can be used for more than two-thirds of the Conformance Units in a Companion Specification. The CU classes and templates are also a step towards automation in the generation of OPC UA Companion Specification Documents and test cases for the Conformance Units.
{"title":"Implicit Templates for Conformance Units in OPC UA Companion Specifications","authors":"Sebastian Friedl, Tonja Heinemann, A. Lechler, O. Riedel","doi":"10.1109/ICIT46573.2021.9453582","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453582","url":null,"abstract":"Due to its importance in the Industry 4.0 movement, the usage of OPC UA has increased in recent years. More and more vendor-independent and domain-specific models are developed as so-called Companion Specifications. OPC UA Profiles allow to subdivide functionality within the Companion Specifications, and thus offer flexibility to the standards. An OPC UA Profile is a set of individually testable entities called Conformance Units, which are also defined within the Companion Specification. In this work, similarities between Conformance Units defined by different working groups are analyzed and grouped in CU classes by the scope of the Conformance Units. For the most prevalent CU classes, textual templates are suggested, based on the typical formulations in existing Companion Specifications. These templates are intended to ease the development of Companion Specifications and the Conformance Units therein. The CU classes identified in this work suggest the templates can be used for more than two-thirds of the Conformance Units in a Companion Specification. The CU classes and templates are also a step towards automation in the generation of OPC UA Companion Specification Documents and test cases for the Conformance Units.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567321","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453623
M. Švec, Š. Ileš, J. Matuško
The control of vehicle dynamics is a very demanding task due to the complex nonlinear tire characteristics and the coupled lateral and longitudinal dynamics of the vehicle. When designing a Model Predictive Controller (MPC) for vehicle dynamics, this can lead to a non-convex optimization problem. A novel approach to solve the problem of controlling nonlinear systems is based on the so-called Koopman operator. The Koopman operator is a linear operator that governs the evolution of scalar functions (often referred to as observables) along the trajectories of a given nonlinear dynamical system and is a powerful tool for the analysis and decomposition of nonlinear dynamical systems. The main idea is to lift the nonlinear dynamics to a higher dimensional space where its evolution can be described with a linear system model. In this paper we propose a model predictive controller for vehicle dynamics based on the Kooopman operator decomposition of vehicle dynamics with Extended Dynamic Mode Decomposition (EDMD) method. Both model identification and predictive controller design are validated using Matlab/Simulink environment.
{"title":"Model predictive control of vehicle dynamics based on the Koopman operator with extended dynamic mode decomposition","authors":"M. Švec, Š. Ileš, J. Matuško","doi":"10.1109/ICIT46573.2021.9453623","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453623","url":null,"abstract":"The control of vehicle dynamics is a very demanding task due to the complex nonlinear tire characteristics and the coupled lateral and longitudinal dynamics of the vehicle. When designing a Model Predictive Controller (MPC) for vehicle dynamics, this can lead to a non-convex optimization problem. A novel approach to solve the problem of controlling nonlinear systems is based on the so-called Koopman operator. The Koopman operator is a linear operator that governs the evolution of scalar functions (often referred to as observables) along the trajectories of a given nonlinear dynamical system and is a powerful tool for the analysis and decomposition of nonlinear dynamical systems. The main idea is to lift the nonlinear dynamics to a higher dimensional space where its evolution can be described with a linear system model. In this paper we propose a model predictive controller for vehicle dynamics based on the Kooopman operator decomposition of vehicle dynamics with Extended Dynamic Mode Decomposition (EDMD) method. Both model identification and predictive controller design are validated using Matlab/Simulink environment.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"66 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133052881","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453560
H. E. Ouardi, Mohammed El Alaoui, Mariam Nabaoui, M. Habib, A. E. Gadari, Y. Ounejjar, K. Al-haddad
In this paper, a new single-phase grid-connected photovoltaic (PV) system, based on the five-level S-Packed U-Cell (SPUC5) inverter, is presented. This novel topology requires a minimum number of components while providing a maximum number of voltage levels. The Pulse Width Modulation (PWM) controller is applied to the five-level SPUC inverter in order to insure the self-balancing to the capacitors voltages and fix them to the half of the DC-link voltage. The Incremental Conductance (INC) is the method of controlling the DC/DC converter chosen by the authors to reach the Maximum Power Point (MPP) delivered by the PV array. Simulation results obtained using MATLAB/Simulink environment prove the high efficiency and the good dynamic of the proposed system even in case of radiation changes. The Total Harmonic Distortions (THD) of the output current is less than 5% which corresponds to the grid injection standards even without using filters.
{"title":"Grid connected Photovoltaic System Based on SPUC5 Inverter","authors":"H. E. Ouardi, Mohammed El Alaoui, Mariam Nabaoui, M. Habib, A. E. Gadari, Y. Ounejjar, K. Al-haddad","doi":"10.1109/ICIT46573.2021.9453560","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453560","url":null,"abstract":"In this paper, a new single-phase grid-connected photovoltaic (PV) system, based on the five-level S-Packed U-Cell (SPUC5) inverter, is presented. This novel topology requires a minimum number of components while providing a maximum number of voltage levels. The Pulse Width Modulation (PWM) controller is applied to the five-level SPUC inverter in order to insure the self-balancing to the capacitors voltages and fix them to the half of the DC-link voltage. The Incremental Conductance (INC) is the method of controlling the DC/DC converter chosen by the authors to reach the Maximum Power Point (MPP) delivered by the PV array. Simulation results obtained using MATLAB/Simulink environment prove the high efficiency and the good dynamic of the proposed system even in case of radiation changes. The Total Harmonic Distortions (THD) of the output current is less than 5% which corresponds to the grid injection standards even without using filters.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132537108","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453577
Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung
This paper introduces a novel combination of scheduling control on a flexible robot manufacturing cell with curiosity based RL. Reinforcement learning has proved to be highly successful in solving tasks like robotics and scheduling. But this requires hand tuning of rewards in problem domains like robotics and scheduling even where the solution is not obvious. To this end, we apply a curiosity based reinforcement learning, using intrinsic motivation as a form of reward, on a flexible robot manufacturing cell to alleviate this problem. Further, the learning agents are embedded into the transportation robots to enable a generalized learning solution that can be applied to a variety of environments. In the first approach, the curiosity based reinforcement learning is applied to a simple structured robot manufacturing cell. And in the second approach, the same algorithm is applied to a graph structured robot manufacturing cell. Results from the experiments show that the agents are able to solve both the environments with the ability to transfer the curiosity module directly from one environment to another. We conclude that curiosity based learning on scheduling tasks provide a viable alternative to the reward shaped reinforcement learning traditionally used.
{"title":"Curiosity Based RL on Robot Manufacturing Cell","authors":"Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung","doi":"10.1109/ICIT46573.2021.9453577","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453577","url":null,"abstract":"This paper introduces a novel combination of scheduling control on a flexible robot manufacturing cell with curiosity based RL. Reinforcement learning has proved to be highly successful in solving tasks like robotics and scheduling. But this requires hand tuning of rewards in problem domains like robotics and scheduling even where the solution is not obvious. To this end, we apply a curiosity based reinforcement learning, using intrinsic motivation as a form of reward, on a flexible robot manufacturing cell to alleviate this problem. Further, the learning agents are embedded into the transportation robots to enable a generalized learning solution that can be applied to a variety of environments. In the first approach, the curiosity based reinforcement learning is applied to a simple structured robot manufacturing cell. And in the second approach, the same algorithm is applied to a graph structured robot manufacturing cell. Results from the experiments show that the agents are able to solve both the environments with the ability to transfer the curiosity module directly from one environment to another. We conclude that curiosity based learning on scheduling tasks provide a viable alternative to the reward shaped reinforcement learning traditionally used.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013572","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453566
S. Anger, Felix Klingert, V. Häublein, M. Pfeffer, M. Schellenberger
Fraunhofer IISB offers prototyping services for electron devices. To meet economic requirements despite a unique flexibility in regard to wafer size, semiconductor material, and processes in manufacturing, a smart platform for rapid prototyping is under development. This paper reports on three embedding solution approaches: The implementation of stable baseline modules, smart experiments including data analytics, and smart logistics with a flexible MES. All were developed and partially implemented within the iDev40 project. The interaction of the solution approaches has the overall goal of reducing the integration time of novel processes into the manufacturing line by about 20%.
{"title":"Smart Platform for Rapid Prototyping: Solutions in the Dilemma of Flexibility and Standardization","authors":"S. Anger, Felix Klingert, V. Häublein, M. Pfeffer, M. Schellenberger","doi":"10.1109/ICIT46573.2021.9453566","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453566","url":null,"abstract":"Fraunhofer IISB offers prototyping services for electron devices. To meet economic requirements despite a unique flexibility in regard to wafer size, semiconductor material, and processes in manufacturing, a smart platform for rapid prototyping is under development. This paper reports on three embedding solution approaches: The implementation of stable baseline modules, smart experiments including data analytics, and smart logistics with a flexible MES. All were developed and partially implemented within the iDev40 project. The interaction of the solution approaches has the overall goal of reducing the integration time of novel processes into the manufacturing line by about 20%.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132678755","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453663
A. Russo, Giacomo Canciello, A. Cavallo
This paper deals with the control of a bidirectional DC/DC converter in the framework of the More Electric Aircraft (MEA). The objective is to regulate the power flow between the aeronautical main generator and a battery connected to the grid through the bidirectional converter. The proposed control strategy comprises of a hierarchical control consisting of a fixed time Second Order Sliding Mode Control layer driven by a nonlinear Model Predictive Control strategy. The current entering (or exiting) the bidirectional converter on the network side is regulated by adaptively controlling the converter current on the battery side. Detailed simulations have been provided in order to verify the effectiveness of the proposed control strategy.
{"title":"MPC based Sliding Mode Control for More Electric Aircraft application","authors":"A. Russo, Giacomo Canciello, A. Cavallo","doi":"10.1109/ICIT46573.2021.9453663","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453663","url":null,"abstract":"This paper deals with the control of a bidirectional DC/DC converter in the framework of the More Electric Aircraft (MEA). The objective is to regulate the power flow between the aeronautical main generator and a battery connected to the grid through the bidirectional converter. The proposed control strategy comprises of a hierarchical control consisting of a fixed time Second Order Sliding Mode Control layer driven by a nonlinear Model Predictive Control strategy. The current entering (or exiting) the bidirectional converter on the network side is regulated by adaptively controlling the converter current on the battery side. Detailed simulations have been provided in order to verify the effectiveness of the proposed control strategy.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116742455","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453631
Renato Babojelic, Š. Ileš, V. Šunde, J. Matuško
This paper presents a fast gradient projection model predictive control algorithm based on a sequence of 1-step controllable sets for controlling a grid-tied converter with an LCL filter. The proposed method uses a set membership constraint on the first state, which ensures finite time convergence to the terminal set. To use the fast gradient projection method to solve the finite-time optimal control problem with state constraints, we adopted an approach where the set membership constraint is transformed into the corresponding input constraint as a function of the current state. In this way, no significant additional computational load was introduced, allowing the MPC algorithm to be solved efficiently.
{"title":"Computationally Efficient Set-based Predictive Control for Grid-tied Inverters","authors":"Renato Babojelic, Š. Ileš, V. Šunde, J. Matuško","doi":"10.1109/ICIT46573.2021.9453631","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453631","url":null,"abstract":"This paper presents a fast gradient projection model predictive control algorithm based on a sequence of 1-step controllable sets for controlling a grid-tied converter with an LCL filter. The proposed method uses a set membership constraint on the first state, which ensures finite time convergence to the terminal set. To use the fast gradient projection method to solve the finite-time optimal control problem with state constraints, we adopted an approach where the set membership constraint is transformed into the corresponding input constraint as a function of the current state. In this way, no significant additional computational load was introduced, allowing the MPC algorithm to be solved efficiently.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114577044","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453669
Isla Ziyat, P. Palmer, G. Wang
This paper proposes a distributed generation installation procedure that can be applied to balanced and unbalanced distribution grids. This is achieved through metaheuristic optimisation and by modelling the grid using the three-phase grid model rather than the one-line diagram model. Both the power loss in the lines and the voltage deviation from the nominal voltage are minimised using the multi-objective genetic algorithm. This installation procedure facilitates grid planning for the distribution system operator. In particular, various possible Pareto optimal solutions can be chosen, which all lead to significant improvements in the performance of the grid. When applied to the unbalanced IEEE37 grid, this method achieves an installation capacity of 3 MW while significantly reducing power loss in the lines by 83.7%, and voltage deviation from the nominal by 90.6%.
{"title":"Optimisation of Location and Size for Distributed Generation in Unbalanced Grids","authors":"Isla Ziyat, P. Palmer, G. Wang","doi":"10.1109/ICIT46573.2021.9453669","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453669","url":null,"abstract":"This paper proposes a distributed generation installation procedure that can be applied to balanced and unbalanced distribution grids. This is achieved through metaheuristic optimisation and by modelling the grid using the three-phase grid model rather than the one-line diagram model. Both the power loss in the lines and the voltage deviation from the nominal voltage are minimised using the multi-objective genetic algorithm. This installation procedure facilitates grid planning for the distribution system operator. In particular, various possible Pareto optimal solutions can be chosen, which all lead to significant improvements in the performance of the grid. When applied to the unbalanced IEEE37 grid, this method achieves an installation capacity of 3 MW while significantly reducing power loss in the lines by 83.7%, and voltage deviation from the nominal by 90.6%.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745501","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453628
Bahar Houtan, Albert Bergström, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen
Designing and simulating large networks, based on the Time Sensitive Networking (TSN) standards, require complex and demanding configuration at the design and pre-simulation phases. Existing configuration and simulation frameworks support only manual configuration of TSN networks. This hampers the applicability of these frameworks to large-sized TSN networks, especially in complex industrial embedded system applications. This paper proposes a modular framework to automate offline scheduling in TSN networks to facilitate the design-time and pre-simulation automated network configurations as well as interpretation of the simulations. To demonstrate and evaluate the applicability of the proposed framework, a large TSN network is automatically configured and its performance is evaluated by measuring end-to-end delays of time-critical flows in a state-of-the-art simulation framework, namely NeSTiNg.
{"title":"An Automated Configuration Framework for TSN Networks","authors":"Bahar Houtan, Albert Bergström, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen","doi":"10.1109/ICIT46573.2021.9453628","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453628","url":null,"abstract":"Designing and simulating large networks, based on the Time Sensitive Networking (TSN) standards, require complex and demanding configuration at the design and pre-simulation phases. Existing configuration and simulation frameworks support only manual configuration of TSN networks. This hampers the applicability of these frameworks to large-sized TSN networks, especially in complex industrial embedded system applications. This paper proposes a modular framework to automate offline scheduling in TSN networks to facilitate the design-time and pre-simulation automated network configurations as well as interpretation of the simulations. To demonstrate and evaluate the applicability of the proposed framework, a large TSN network is automatically configured and its performance is evaluated by measuring end-to-end delays of time-critical flows in a state-of-the-art simulation framework, namely NeSTiNg.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134604039","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453479
Pouya Zolfi, Sinaee Vahid, A. El-Refaie
Energy conversion process of distributed renewable energy resources and energy storage devices highly depends on the DC-DC converters as interfaces. Reducing the number of conversion stages can lead to less complex energy conversion process. Multi-port converters with their flexible structure and control strategy are good candidates for this purpose. A management and integration study of PV/battery in zonal DC microgrids is presented in this paper. Moreover, a novel isolated three-port converter with continuous input current called three-port DC-DC interface is presented. Also, a zonal DC microgrid architecture based on three-port DC-DC interface is presented and discussed. An efficient four-layer control strategy for power flow management in DC microgrid is presented and discussed thoroughly. Simulations are conducted under various operation modes and loads to demonstrate the capability of proposed interface and the presented methods and strategies. The proposed three-port DC-DC interface converts and manages the power flow in the DC microgrid with high efficiency values of 91.8% and 95.6% for two-stage and single-stage conversion processes, respectively.
{"title":"A Novel Three-Port DC-DC Converter for Integration of PV and Storage in Zonal DC Microgrids","authors":"Pouya Zolfi, Sinaee Vahid, A. El-Refaie","doi":"10.1109/ICIT46573.2021.9453479","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453479","url":null,"abstract":"Energy conversion process of distributed renewable energy resources and energy storage devices highly depends on the DC-DC converters as interfaces. Reducing the number of conversion stages can lead to less complex energy conversion process. Multi-port converters with their flexible structure and control strategy are good candidates for this purpose. A management and integration study of PV/battery in zonal DC microgrids is presented in this paper. Moreover, a novel isolated three-port converter with continuous input current called three-port DC-DC interface is presented. Also, a zonal DC microgrid architecture based on three-port DC-DC interface is presented and discussed. An efficient four-layer control strategy for power flow management in DC microgrid is presented and discussed thoroughly. Simulations are conducted under various operation modes and loads to demonstrate the capability of proposed interface and the presented methods and strategies. The proposed three-port DC-DC interface converts and manages the power flow in the DC microgrid with high efficiency values of 91.8% and 95.6% for two-stage and single-stage conversion processes, respectively.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130586785","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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