Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849017
M. Lotfi, C. Monteiro, M. Javadi, M. Shafie‐khah, J. Catalão
We present a novel fully distributed strategy for joint scheduling of consumption and trading within transactive energy networks. The aim is maximizing social welfare, which itself is redefined and adapted for peer-to-peer prosumer-based markets. In the proposed scheme, hourly energy values are calculated to coordinate the joint scheduling of consumption and trading, taking into consideration both preferences and needs of all network participants. Electricity market prices are scaled locally based on hourly energy values of each prosumer. This creates a system where energy consumption and trading are coordinated based on the value of energy use throughout the day, rather than only the market price. For each prosumer, scheduling is done by allocating load (consumption) and supply (trading) blocks, maximizing the energy value globally and locally within the network. The proposed strategy was tested using a case study of typical residential prosumers. It was shown that the proposed model could provide potential benefits for both prosumers and the grid, albeit with a user-centered, fully distributed management model which relies solely on local scheduling in transactive energy networks.
{"title":"Optimal Prosumer Scheduling in Transactive Energy Networks Based on Energy Value Signals","authors":"M. Lotfi, C. Monteiro, M. Javadi, M. Shafie‐khah, J. Catalão","doi":"10.1109/SEST.2019.8849017","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849017","url":null,"abstract":"We present a novel fully distributed strategy for joint scheduling of consumption and trading within transactive energy networks. The aim is maximizing social welfare, which itself is redefined and adapted for peer-to-peer prosumer-based markets. In the proposed scheme, hourly energy values are calculated to coordinate the joint scheduling of consumption and trading, taking into consideration both preferences and needs of all network participants. Electricity market prices are scaled locally based on hourly energy values of each prosumer. This creates a system where energy consumption and trading are coordinated based on the value of energy use throughout the day, rather than only the market price. For each prosumer, scheduling is done by allocating load (consumption) and supply (trading) blocks, maximizing the energy value globally and locally within the network. The proposed strategy was tested using a case study of typical residential prosumers. It was shown that the proposed model could provide potential benefits for both prosumers and the grid, albeit with a user-centered, fully distributed management model which relies solely on local scheduling in transactive energy networks.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132619468","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849103
Simone Galisai, E. Ghiani, F. Pilo
Nearly zero-energy buildings (NZEBs) are high energy performance buildings in which part of the amount of energy that these buildings require comes mostly from renewable sources. In order to obtain the target of nearly zero energy consumption, the electrical loads and the energy sources related to the NZEB building can be organized as a Microgrid, which needs to be optimally sized in his components. The optimal sizing of a Microgrid for NZEBs can be formulated as multi-objective problem. In fact, for the NZEB owner exists an economic target aimed at maximizing profits from microgeneration, a different one aimed solely to minimize the energy bought from the market and an environmental target aimed at minimizing the global CO2 emissions. These objectives can enter into conflict and create the need for combined optimization. In this paper, this optimization problem is investigated with an integrated framework addressing the multi-objective optimization and multi-criteria evaluation issues simultaneously. Minimize the investment cost, maximize the fraction of energy self-consumed with renewable energy sources and reduce the CO2 emissions will be considered as three objectives for multi-objective optimization. The proposed methodology is applied to a microgrid for a NZEB public building. The simulation results show the effectiveness of the proposed methodology.
{"title":"Multi-Objective and Multi-Criteria Optimization of Microgrids for Nearly Zero-Energy Buildings","authors":"Simone Galisai, E. Ghiani, F. Pilo","doi":"10.1109/SEST.2019.8849103","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849103","url":null,"abstract":"Nearly zero-energy buildings (NZEBs) are high energy performance buildings in which part of the amount of energy that these buildings require comes mostly from renewable sources. In order to obtain the target of nearly zero energy consumption, the electrical loads and the energy sources related to the NZEB building can be organized as a Microgrid, which needs to be optimally sized in his components. The optimal sizing of a Microgrid for NZEBs can be formulated as multi-objective problem. In fact, for the NZEB owner exists an economic target aimed at maximizing profits from microgeneration, a different one aimed solely to minimize the energy bought from the market and an environmental target aimed at minimizing the global CO2 emissions. These objectives can enter into conflict and create the need for combined optimization. In this paper, this optimization problem is investigated with an integrated framework addressing the multi-objective optimization and multi-criteria evaluation issues simultaneously. Minimize the investment cost, maximize the fraction of energy self-consumed with renewable energy sources and reduce the CO2 emissions will be considered as three objectives for multi-objective optimization. The proposed methodology is applied to a microgrid for a NZEB public building. The simulation results show the effectiveness of the proposed methodology.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132087802","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849026
Lilla Litvani, J. Hamar
The goal of this paper is to examine a special case of asymmetrical operation of a four level, five channel resonant Buck converter in discontinuous current conduction mode ($DCM$) among steady state conditions. Having two input ($p$ and $n$) and four output ($p1,p2, n1, n2$) channels, the converter can operate in symmetrical mode when the input and output voltages are both symmetrical. Asymmetry can be caused by the unevenness of any parameters inside the channels or among them. This paper focuses on the output asymmetry appearing between main channels $p$ and $n$, the case of asymmetrical output voltages, loads, and powers are examined. Steady state analysis and control strategy is proposed that are supported by both simulation and experimental results. The proposed control strategy can be used when applying the converter in feeding multilevel inverters.
{"title":"Asymmetry Between Main Channels of a Multilevel Buck Converter - Operation in Steady State","authors":"Lilla Litvani, J. Hamar","doi":"10.1109/SEST.2019.8849026","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849026","url":null,"abstract":"The goal of this paper is to examine a special case of asymmetrical operation of a four level, five channel resonant Buck converter in discontinuous current conduction mode ($DCM$) among steady state conditions. Having two input ($p$ and $n$) and four output ($p1,p2, n1, n2$) channels, the converter can operate in symmetrical mode when the input and output voltages are both symmetrical. Asymmetry can be caused by the unevenness of any parameters inside the channels or among them. This paper focuses on the output asymmetry appearing between main channels $p$ and $n$, the case of asymmetrical output voltages, loads, and powers are examined. Steady state analysis and control strategy is proposed that are supported by both simulation and experimental results. The proposed control strategy can be used when applying the converter in feeding multilevel inverters.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234002","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849075
M. Daneshvar, B. Mohammadi-ivatloo, S. Asadi, M. Abapour, A. Anvari‐Moghaddam
To maximize the microgrids profit in presence of renewable energy resources (RERs), this paper employs the transactive energy (TE) technique for optimal scheduling of the distributed energy resources (DERs) throughout the system. Microgrids can exchange energy with the main grid not only to meet their demand but also to make a profit by active participation in energy and reserve provision process. In this regard, TE can be applied as an effective solution for energy supply management and dynamic balancing between the microgrids and the power grid. In this paper, the participation of five grid-connected commercial microgrids in day-ahead (DA) market is considered. The applicability and the satisfactory performance of the proposed approach are tested and validated on a 10-bus IEEE test system. Simulation results indicate that maximum profit can be achieved for the microgrids with optimal scheduling of the DERs based on the TE approach.
{"title":"A Transactive Energy Management Framework for Regional Network of Microgrids","authors":"M. Daneshvar, B. Mohammadi-ivatloo, S. Asadi, M. Abapour, A. Anvari‐Moghaddam","doi":"10.1109/SEST.2019.8849075","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849075","url":null,"abstract":"To maximize the microgrids profit in presence of renewable energy resources (RERs), this paper employs the transactive energy (TE) technique for optimal scheduling of the distributed energy resources (DERs) throughout the system. Microgrids can exchange energy with the main grid not only to meet their demand but also to make a profit by active participation in energy and reserve provision process. In this regard, TE can be applied as an effective solution for energy supply management and dynamic balancing between the microgrids and the power grid. In this paper, the participation of five grid-connected commercial microgrids in day-ahead (DA) market is considered. The applicability and the satisfactory performance of the proposed approach are tested and validated on a 10-bus IEEE test system. Simulation results indicate that maximum profit can be achieved for the microgrids with optimal scheduling of the DERs based on the TE approach.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121561989","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 : 2019-09-01DOI: 10.1109/SEST.2019.8848992
M. Javadi, A. E. Nezhad, M. Gough, M. Lotfi, J. Catalão
This paper proposes a novel method for solving the Optimal Power Flow (OPF) problem in conditions close to realtime. The linearized cost function of the generating units is used to this end. Besides, the presented linear model is solved using the Consensus Alternating Direction Method of Multipliers (C-ADMM) approach. This technique would provide the possibility of modeling the problem both in centralized and decentralized manners. The suggested method exploits the power flow results obtained from the previous iteration to considerably improve the rate of convergence. As the C-ADMM method uses an iterative technique, Lagrange multipliers, and the norm function, the rate of convergence highly depends upon assigning the initial conditions and the optimality gap. Thus, using the operating points of the previous instant due to being close to the operating point of the current instant would enhance the results. The proposed model has been implemented on two case studies including the Pennsylvania-New Jersey-Maryland (PJM) network to verify the results and the 9-bus system to evaluate the performance of the model for the daily operation.
{"title":"Implementation of Consensus-ADMM Approach for Fast DC-OPF Studies","authors":"M. Javadi, A. E. Nezhad, M. Gough, M. Lotfi, J. Catalão","doi":"10.1109/SEST.2019.8848992","DOIUrl":"https://doi.org/10.1109/SEST.2019.8848992","url":null,"abstract":"This paper proposes a novel method for solving the Optimal Power Flow (OPF) problem in conditions close to realtime. The linearized cost function of the generating units is used to this end. Besides, the presented linear model is solved using the Consensus Alternating Direction Method of Multipliers (C-ADMM) approach. This technique would provide the possibility of modeling the problem both in centralized and decentralized manners. The suggested method exploits the power flow results obtained from the previous iteration to considerably improve the rate of convergence. As the C-ADMM method uses an iterative technique, Lagrange multipliers, and the norm function, the rate of convergence highly depends upon assigning the initial conditions and the optimality gap. Thus, using the operating points of the previous instant due to being close to the operating point of the current instant would enhance the results. The proposed model has been implemented on two case studies including the Pennsylvania-New Jersey-Maryland (PJM) network to verify the results and the 9-bus system to evaluate the performance of the model for the daily operation.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122026224","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849033
Barış Yener, Ayşe Kübra Erenoğlu, İbrahim Şengör, O. Erdinç, A. Taşcıkaraoǧlu, J. Catalão
The demand side, which was formerly considered as an inelastic part of the power system operation, has recently been evaluated as a source of flexibility to enhance the effectiveness and economy of power system operation. Several real world examples and literature studies exist to evaluate the contribution of demand side flexibility in power system operation in this manner. Accordingly, in this study, a smart thermostat controller for direct load control based demand response applications for controlling the thermostatically controllable loads by Thermostat Set-point Control Mechanism (TSCM) method is developed differently from the existing studies, where few of them have considered the real world applicability requirements of such concepts. The concept has been experimentally verified under different case studies.
{"title":"Development of a Smart Thermostat Controller for Direct Load Control Based Demand Response Applications","authors":"Barış Yener, Ayşe Kübra Erenoğlu, İbrahim Şengör, O. Erdinç, A. Taşcıkaraoǧlu, J. Catalão","doi":"10.1109/SEST.2019.8849033","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849033","url":null,"abstract":"The demand side, which was formerly considered as an inelastic part of the power system operation, has recently been evaluated as a source of flexibility to enhance the effectiveness and economy of power system operation. Several real world examples and literature studies exist to evaluate the contribution of demand side flexibility in power system operation in this manner. Accordingly, in this study, a smart thermostat controller for direct load control based demand response applications for controlling the thermostatically controllable loads by Thermostat Set-point Control Mechanism (TSCM) method is developed differently from the existing studies, where few of them have considered the real world applicability requirements of such concepts. The concept has been experimentally verified under different case studies.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123331202","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849047
C. Bordons, G. Teno, J. J. Márquez, M. Ridao
This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid.
{"title":"Effect of the Integration of Disturbances Prediction in Energy Management Systems for Microgrids","authors":"C. Bordons, G. Teno, J. J. Márquez, M. Ridao","doi":"10.1109/SEST.2019.8849047","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849047","url":null,"abstract":"This paper analyses the effect of considering disturbances prediction in the development of an Energy Management System (EMS) in a microgrid. The main disturbances that affect the operation of the microgrid are the nondispatchable generation (mainly solar and wind power) and the demand. The EMS is designed using Model Predictive Control (MPC), where generation and demand predictions can be included. A simple state-space model is used and the effect of the predictions on the performance of the EMS of a laboratory microgrid is analyzed. The methodology has been tested on an experimental renewable-energy based microgrid platform which is based on renewable energy sources and hydrogen storage. Simulations under different conditions show that the integration of good predictions can improve the operation cost of running the microgrid.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129443241","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849039
G. Schweiger, F. Jorissen, Håkan Runvik, L. Helsen
The optimal operation of energy systems is essential for future sustainable energy systems. While previous studies have shown the potential for equation-based modelling languages for the dynamic optimization of various systems, there is a lack of scalability studies. We investigated the scalability of two different Modelica-based tools for dynamic optimization using two use cases. The first case represents a dynamic optimization of the heating system of a multi-zone building. The second case represents a dynamic optimization of a small-scale district heating system. We show that linear scaling is possible for the tested range.
{"title":"Equation-based modelling for dynamic optimization of district scale energy systems – a scalability study","authors":"G. Schweiger, F. Jorissen, Håkan Runvik, L. Helsen","doi":"10.1109/SEST.2019.8849039","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849039","url":null,"abstract":"The optimal operation of energy systems is essential for future sustainable energy systems. While previous studies have shown the potential for equation-based modelling languages for the dynamic optimization of various systems, there is a lack of scalability studies. We investigated the scalability of two different Modelica-based tools for dynamic optimization using two use cases. The first case represents a dynamic optimization of the heating system of a multi-zone building. The second case represents a dynamic optimization of a small-scale district heating system. We show that linear scaling is possible for the tested range.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129598190","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849117
Angie K. Reyes, A. Hernández, R. M. Gutiérrez, Nicolás Bolívar, Diego A. Jimenez, J. Bastidas, J. Solano
Microgrids with renewable distributed generation appears to be a good alternative to provide electricity for rural areas and isolated zones. However, these microgrids presents relatively low robustness due to their distributed generation topology with lack of dominant nodes to absorb and compensate instabilities, and intermittent energy availability. This work presents a novel strategy to model microgrids in an extended graph model, generating additional model embedded information, essential for optimization processes in the quest of robustness and economy, among other objectives. The traditional impedance model of microgrid is complemented by an extended graph integrating additional information of grids elements such as saturation, current and voltage limits or energy resource availability. This paper presents the extended graph developed model, which yields to a concise representation of an entire microgrid system, as well as a set of graph metrics usable for electrical grid evaluation. The presented model and metrics show to be useful to store, in a single and simple model, valuable information for design, evaluation and operation of microgrid systems.
{"title":"A Novel Extended Graph Strategy to Model Microgrids","authors":"Angie K. Reyes, A. Hernández, R. M. Gutiérrez, Nicolás Bolívar, Diego A. Jimenez, J. Bastidas, J. Solano","doi":"10.1109/SEST.2019.8849117","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849117","url":null,"abstract":"Microgrids with renewable distributed generation appears to be a good alternative to provide electricity for rural areas and isolated zones. However, these microgrids presents relatively low robustness due to their distributed generation topology with lack of dominant nodes to absorb and compensate instabilities, and intermittent energy availability. This work presents a novel strategy to model microgrids in an extended graph model, generating additional model embedded information, essential for optimization processes in the quest of robustness and economy, among other objectives. The traditional impedance model of microgrid is complemented by an extended graph integrating additional information of grids elements such as saturation, current and voltage limits or energy resource availability. This paper presents the extended graph developed model, which yields to a concise representation of an entire microgrid system, as well as a set of graph metrics usable for electrical grid evaluation. The presented model and metrics show to be useful to store, in a single and simple model, valuable information for design, evaluation and operation of microgrid systems.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"527 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127629386","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849118
V. Monteiro, T. Sousa, J. S. Martins, M. Sepulveda, C. Couto, J. Afonso
This paper presents the sliding mode control (SMC) applied to an innovative active rectifier. This proposed active rectifier is constituted by a single-switch, and operates with three voltage levels, evidencing a set of advantages when compared with conventional approaches of power factor correction topologies. Taking into account the diversity of applications for this type of power converter, the SMC is used in order to obtain a robust current tracking. Since the active rectifier is controlled according to the ac grid-side current, the error between such current and its reference is determined, and by employing the SMC, this error is minimized during each sampling period with the objective of selecting the state of the single-switch. A comprehensive description about the SMC implementation, supported by the overall operation of the active rectifier, is presented throughout the paper. The obtained computational results for a set of different operating conditions, comprising significant power ranges and sudden variations, confirm the accurate application of the SMC when applied to the proposed single-switch three-level active rectifier. A comparison is also established with other current control, allowing to confirm the precise application of the SMC strategy.
{"title":"Sliding Mode Control of an Innovative Single-Switch Three-Level Active Rectifier","authors":"V. Monteiro, T. Sousa, J. S. Martins, M. Sepulveda, C. Couto, J. Afonso","doi":"10.1109/SEST.2019.8849118","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849118","url":null,"abstract":"This paper presents the sliding mode control (SMC) applied to an innovative active rectifier. This proposed active rectifier is constituted by a single-switch, and operates with three voltage levels, evidencing a set of advantages when compared with conventional approaches of power factor correction topologies. Taking into account the diversity of applications for this type of power converter, the SMC is used in order to obtain a robust current tracking. Since the active rectifier is controlled according to the ac grid-side current, the error between such current and its reference is determined, and by employing the SMC, this error is minimized during each sampling period with the objective of selecting the state of the single-switch. A comprehensive description about the SMC implementation, supported by the overall operation of the active rectifier, is presented throughout the paper. The obtained computational results for a set of different operating conditions, comprising significant power ranges and sudden variations, confirm the accurate application of the SMC when applied to the proposed single-switch three-level active rectifier. A comparison is also established with other current control, allowing to confirm the precise application of the SMC strategy.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127712150","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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