Pub Date : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960392
M. Vekić, I. Isakov, M. Rapaić, S. Grabic, Ivan Todorović, V. Porobić
Various approaches of microgrid operation have been proposed, albeit with noticeable issues such as power-sharing, control of frequency and voltage excursions, applicability on different grids, etc. This paper proposes a goal function-based, decentralized control that addresses the mentioned problems and secures the microgrid stability by constraining the frequency and node deviations across the grid while simultaneously supporting the desired active power exchange between prosumer nodes. The control algorithm is independent of network topology and enables arbitrary node connection, i.e. seamless microgrid expandability. To confirm the effectiveness of the proposed control strategy, simulation results are presented and discussed.
{"title":"Decentralized microgrid control \"beyond droop\"","authors":"M. Vekić, I. Isakov, M. Rapaić, S. Grabic, Ivan Todorović, V. Porobić","doi":"10.1109/ISGT-Europe54678.2022.9960392","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960392","url":null,"abstract":"Various approaches of microgrid operation have been proposed, albeit with noticeable issues such as power-sharing, control of frequency and voltage excursions, applicability on different grids, etc. This paper proposes a goal function-based, decentralized control that addresses the mentioned problems and secures the microgrid stability by constraining the frequency and node deviations across the grid while simultaneously supporting the desired active power exchange between prosumer nodes. The control algorithm is independent of network topology and enables arbitrary node connection, i.e. seamless microgrid expandability. To confirm the effectiveness of the proposed control strategy, simulation results are presented and discussed.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117208682","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960378
Hoang-Trung Ngo, E. Kamal, B. Marinescu
With the increasingly rapid penetration of power electronics into AC grid, there is an urgent need in enhancing stability and performance of grid-connected converters. An advanced H∞ multi-input multi-output (MIMO) control using linear matrix inequality (LMI) techniques is introduced and applied for electromagnetic transient (EMT) three-phase voltage source converter (VSC) grid-connected system (simple STATCOM). The proposed control is compared with classical cascade vector control through a validation test of short-circuit event.The comparison results prove that the advanced control approach provides much better performance and transient behaviour compared to classic vector controls, as a result of using H∞ optimization technique to minimize the effect of frequency’s and grid voltage’s variations.The validation test is done using MATLAB Simscape in EMT simulation, and also gives a step-by-step path of implementation for applying advanced control in industrial-level application of power converter.These results will be further used to control the units of the new concept of Dynamic Virtual Power Plant introduced in the H2020 POSYTYF project.
{"title":"EMT three-phase VSC grid-connected converter reactive power control using H∞ LMI MIMO approach","authors":"Hoang-Trung Ngo, E. Kamal, B. Marinescu","doi":"10.1109/ISGT-Europe54678.2022.9960378","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960378","url":null,"abstract":"With the increasingly rapid penetration of power electronics into AC grid, there is an urgent need in enhancing stability and performance of grid-connected converters. An advanced H∞ multi-input multi-output (MIMO) control using linear matrix inequality (LMI) techniques is introduced and applied for electromagnetic transient (EMT) three-phase voltage source converter (VSC) grid-connected system (simple STATCOM). The proposed control is compared with classical cascade vector control through a validation test of short-circuit event.The comparison results prove that the advanced control approach provides much better performance and transient behaviour compared to classic vector controls, as a result of using H∞ optimization technique to minimize the effect of frequency’s and grid voltage’s variations.The validation test is done using MATLAB Simscape in EMT simulation, and also gives a step-by-step path of implementation for applying advanced control in industrial-level application of power converter.These results will be further used to control the units of the new concept of Dynamic Virtual Power Plant introduced in the H2020 POSYTYF project.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123936457","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960547
G. J. Meyer, J. Jaeger
Major disturbances in recent years have shown that protection systems play an important role in the actual course of events and that improper behavior can have a strong negative impact. Regular review of protection settings and adaptation to new conditions is therefore an important task in modern power grids to ensure overall system security. Changing grid structures, volatile feeders, more dynamic loads and higher loading rates are the challenges that need to be met.This paper presents an innovative protection security assessment system that has been designed to provide sound feedback on system stability in order to effectively guide an optimization method. This allows all setting values of all protection devices of a system-wide grid to be checked simultaneously, adapted to new situations and beeing optimized. For this purpose, the system uses new indices, which are introduced, described in detail and demonstrated by means of a case study. Finally, a comparison with classical protection criteria is made.
{"title":"Protection Security Assessment with Guiding Optimization Criteria based on Stability Indices","authors":"G. J. Meyer, J. Jaeger","doi":"10.1109/ISGT-Europe54678.2022.9960547","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960547","url":null,"abstract":"Major disturbances in recent years have shown that protection systems play an important role in the actual course of events and that improper behavior can have a strong negative impact. Regular review of protection settings and adaptation to new conditions is therefore an important task in modern power grids to ensure overall system security. Changing grid structures, volatile feeders, more dynamic loads and higher loading rates are the challenges that need to be met.This paper presents an innovative protection security assessment system that has been designed to provide sound feedback on system stability in order to effectively guide an optimization method. This allows all setting values of all protection devices of a system-wide grid to be checked simultaneously, adapted to new situations and beeing optimized. For this purpose, the system uses new indices, which are introduced, described in detail and demonstrated by means of a case study. Finally, a comparison with classical protection criteria is made.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124961831","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960522
Sina Steinle, D. Littig, S. D. Jongh, F. Gielnik, M. Suriyah, T. Leibfried
An increasing amount of flexibility providing entities are being installed in distribution grids supporting the development of active distribution networks. In distribution grids with cellular structure, aggregation of provided flexibility on cellular level enables the power exchange between energy cells without exchanging detailed information about each flexibility providing entity across energy cell boundaries. A multi-step optimization routine is developed to take account of the aggregation on energy cellular level based on cellwise power and energy limitations.
{"title":"Aggregation of Time-Dependent Flexibility in Cellular Organized Distribution Grids","authors":"Sina Steinle, D. Littig, S. D. Jongh, F. Gielnik, M. Suriyah, T. Leibfried","doi":"10.1109/ISGT-Europe54678.2022.9960522","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960522","url":null,"abstract":"An increasing amount of flexibility providing entities are being installed in distribution grids supporting the development of active distribution networks. In distribution grids with cellular structure, aggregation of provided flexibility on cellular level enables the power exchange between energy cells without exchanging detailed information about each flexibility providing entity across energy cell boundaries. A multi-step optimization routine is developed to take account of the aggregation on energy cellular level based on cellwise power and energy limitations.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546924","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960371
P. Kotsampopoulos, A. Dimeas, A. Chronis, Georgia Saridaki, N. Hatziargyriou, S. Maiti, C. Chakraborty
Recent technical, economic, social and environmental challenges related to global energy transition have gained increased interest from research institutes and industrial companies from all across the world. RE-EMPOWERED is a joint research program, in which European and Indian partners have joined forces to demonstrate innovative solutions for effective energy management, power forecasting techniques, added grid resilience, grid stable operation, energy sector integration, digitalization and power electronics control. The developed tools will be tested in four demo sites in Europe and India aiming to shed light on these timely research areas in the reign of power networks dominated by distributed and renewable sources generation.
{"title":"EU-India Collaboration for Smarter Microgrids: RE-EMPOWERED project","authors":"P. Kotsampopoulos, A. Dimeas, A. Chronis, Georgia Saridaki, N. Hatziargyriou, S. Maiti, C. Chakraborty","doi":"10.1109/ISGT-Europe54678.2022.9960371","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960371","url":null,"abstract":"Recent technical, economic, social and environmental challenges related to global energy transition have gained increased interest from research institutes and industrial companies from all across the world. RE-EMPOWERED is a joint research program, in which European and Indian partners have joined forces to demonstrate innovative solutions for effective energy management, power forecasting techniques, added grid resilience, grid stable operation, energy sector integration, digitalization and power electronics control. The developed tools will be tested in four demo sites in Europe and India aiming to shed light on these timely research areas in the reign of power networks dominated by distributed and renewable sources generation.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128788420","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960577
Simon Stock, Markus Dressel, D. Babazadeh, C. Becker
Emerging trends in distribution grids such as sector integration and high penetration of distributed energy resources increase uncertainty and volatility of the power system. Under such conditions, a full state acquisition is necessary for optimal and safe operation particularly. Given the ability of neural networks to handle incomplete data sets and real-time operation, they have been preferred compared to conventional Gauss-Newton approaches. However, most of the proposed approaches are not related to the physical structure of the grid. Since electrical grids can be described as a graph, the integration of graph structures into the neural network is a consequential step. This paper proposes a Graph Convolutional Network-based approach to state estimation that integrates the graph structure of the grid directly into the filter matrix of the Graph Convolutional Network. Throughout this study, the proposed approach is evaluated using the IEEE 37-feeder test system.
{"title":"Application of Physics-based Graph Convolutional Network in Real-time State Estimation of Under-determined Distribution Grids","authors":"Simon Stock, Markus Dressel, D. Babazadeh, C. Becker","doi":"10.1109/ISGT-Europe54678.2022.9960577","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960577","url":null,"abstract":"Emerging trends in distribution grids such as sector integration and high penetration of distributed energy resources increase uncertainty and volatility of the power system. Under such conditions, a full state acquisition is necessary for optimal and safe operation particularly. Given the ability of neural networks to handle incomplete data sets and real-time operation, they have been preferred compared to conventional Gauss-Newton approaches. However, most of the proposed approaches are not related to the physical structure of the grid. Since electrical grids can be described as a graph, the integration of graph structures into the neural network is a consequential step. This paper proposes a Graph Convolutional Network-based approach to state estimation that integrates the graph structure of the grid directly into the filter matrix of the Graph Convolutional Network. Throughout this study, the proposed approach is evaluated using the IEEE 37-feeder test system.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128820012","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960483
H. Çakmak, Luc Janecke, Moritz Weber, V. Hagenmeyer
The contribution of the present paper is a new, more refined method for the automated creation of large-scale detailed distribution grid models based solely on publicly available GIS and statistical data. Utilizing the street layouts in Open Street Maps as potential cable routes, a graph representation is created and complemented by residential units that are extracted from the same data source. This graph structure is adjusted to match the electrical low-voltage grid topology by solving a variation of the minimum cost flow linear optimization problem with provided data on secondary substations. In a final step, the generated grid representation is transferred to a DIgSILENT PowerFactory model including photovoltaic systems. The presented workflow uses open source software and is fully automated and scalable. It allows the generation of ready-to-use distribution grid simulation models for given 20kV substation locations and additional data on residential unit properties for improved results. The performance of the developed method with respect to grid utilization is presented for a selected suburban residential area with power flow simulations for eight scenarios including current residential photovoltaic installation and a future scenario with full photovoltaic expansion. For the latter, the simulation results indicate heavy congestion in the low-voltage grid for full photovoltaic capacity deployment without batteries. Furthermore, the suitability of the generated models for quasi-dynamic simulations is shown.
{"title":"An Optimization-based Approach for Automated Generation of Residential Low-Voltage Grid Models Using Open Data and Open Source Software","authors":"H. Çakmak, Luc Janecke, Moritz Weber, V. Hagenmeyer","doi":"10.1109/ISGT-Europe54678.2022.9960483","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960483","url":null,"abstract":"The contribution of the present paper is a new, more refined method for the automated creation of large-scale detailed distribution grid models based solely on publicly available GIS and statistical data. Utilizing the street layouts in Open Street Maps as potential cable routes, a graph representation is created and complemented by residential units that are extracted from the same data source. This graph structure is adjusted to match the electrical low-voltage grid topology by solving a variation of the minimum cost flow linear optimization problem with provided data on secondary substations. In a final step, the generated grid representation is transferred to a DIgSILENT PowerFactory model including photovoltaic systems. The presented workflow uses open source software and is fully automated and scalable. It allows the generation of ready-to-use distribution grid simulation models for given 20kV substation locations and additional data on residential unit properties for improved results. The performance of the developed method with respect to grid utilization is presented for a selected suburban residential area with power flow simulations for eight scenarios including current residential photovoltaic installation and a future scenario with full photovoltaic expansion. For the latter, the simulation results indicate heavy congestion in the low-voltage grid for full photovoltaic capacity deployment without batteries. Furthermore, the suitability of the generated models for quasi-dynamic simulations is shown.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448977","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960363
Patricio Cajas, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Vijay K. Sood, Rubén R. Romero
Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.
{"title":"AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach","authors":"Patricio Cajas, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Vijay K. Sood, Rubén R. Romero","doi":"10.1109/ISGT-Europe54678.2022.9960363","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960363","url":null,"abstract":"Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117564","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960613
A. G. Priyanka, A. Monti
This article provides a framework to assist scenario-based risk assessment methods using a multi-directed graph model for representing asset-dependency model of smart grids with heterogeneous assets. First, asset categorization is presented to enable consideration of different nature of assets for smart grids risk assessment. Next, a web-based tool for visualizing the graph-based model of one or more infrastructure assets and dependencies is presented. The tool implements functionalities to assist in the development of cross-domain threat scenarios and to view level-wise cascading effect of a threat exploitation.
{"title":"Towards Risk Assessment of Smart Grids with Heterogeneous Assets","authors":"A. G. Priyanka, A. Monti","doi":"10.1109/ISGT-Europe54678.2022.9960613","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960613","url":null,"abstract":"This article provides a framework to assist scenario-based risk assessment methods using a multi-directed graph model for representing asset-dependency model of smart grids with heterogeneous assets. First, asset categorization is presented to enable consideration of different nature of assets for smart grids risk assessment. Next, a web-based tool for visualizing the graph-based model of one or more infrastructure assets and dependencies is presented. The tool implements functionalities to assist in the development of cross-domain threat scenarios and to view level-wise cascading effect of a threat exploitation.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114287488","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960612
C. P. Guzman, J. López, Gabriela Sanchez, Lucas Zenichi Terada, M. J. Rider, L. C. P. Silva
The interest in microgrids has increased at a rapid pace due to their flexibility, reliability, efficiency, and the possibility of the integration of distributed energy resources (DERs) into the power system. An adequate operation of a microgrid is based on optimal management of the DERs. The energy management of a microgrid is generally based on centralized control, in which a central coordinator manages the energy exchanged between the microgrid and the power system. Nevertheless, in the last few years, distributed control methods for energy management (DEMS) have garnered attention. This paper proposes a distributed energy management strategy for a microgrid, in which the DERs are optimally coordinated, aiming to minimize operational costs. Initially, a mathematical programming model based on centralized control for the management of DERs is presented. Then, the model is distributed using the alternating direction method of multipliers (ADMM) algorithm. The proposed case studies demonstrate the effectiveness of the ADMM to achieve an optimal solution in a DEMS.
{"title":"An ADMM-based Distributed Energy Management System for Microgrids","authors":"C. P. Guzman, J. López, Gabriela Sanchez, Lucas Zenichi Terada, M. J. Rider, L. C. P. Silva","doi":"10.1109/ISGT-Europe54678.2022.9960612","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960612","url":null,"abstract":"The interest in microgrids has increased at a rapid pace due to their flexibility, reliability, efficiency, and the possibility of the integration of distributed energy resources (DERs) into the power system. An adequate operation of a microgrid is based on optimal management of the DERs. The energy management of a microgrid is generally based on centralized control, in which a central coordinator manages the energy exchanged between the microgrid and the power system. Nevertheless, in the last few years, distributed control methods for energy management (DEMS) have garnered attention. This paper proposes a distributed energy management strategy for a microgrid, in which the DERs are optimally coordinated, aiming to minimize operational costs. Initially, a mathematical programming model based on centralized control for the management of DERs is presented. Then, the model is distributed using the alternating direction method of multipliers (ADMM) algorithm. The proposed case studies demonstrate the effectiveness of the ADMM to achieve an optimal solution in a DEMS.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122393436","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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