Sai Kiran Samboju, Vivek Teja Tanjavooru, Daniel Zinsmeister, V. Perić
Despite the availability of extensive literature on the benefits and optimization of integrated thermal-electric grids, the dynamics aspects of their operation are not often investigated and well understood. Combined Heat and Power (CHP) units that simultaneously generate electricity and useful heat are one of the main coupling elements between thermal and electric systems with complex dynamic behavior. This paper describes the effort to develop a dynamic model of a CHP unit that will be adequate for use in studies of integrated thermal-electric grids. The proposed model consists of the combustion engine, heat exchanger, exhaust heat exchanger and an induction generator. The developed model is calibrated using parameters of a CHP unit with the goal to validate the behavior of the model against the hardware testbed with the same CHP unit in the laboratory at the Research Center for Combined Smart Energy Systems (CoSES) of the Technical University of Munich (TUM). The individual components, internal combustion engine, heat exchanger, exhaust heat exchanger and induction generator, are modeled separately in from Modelica library. The water heat exchanger and the exhaust heat exchanger are modelled considering the condensing effect of water.
{"title":"Modeling of combined heat and power generation unit for dynamic analysis of integrated thermal-electric grids*","authors":"Sai Kiran Samboju, Vivek Teja Tanjavooru, Daniel Zinsmeister, V. Perić","doi":"10.1145/3470481.3472711","DOIUrl":"https://doi.org/10.1145/3470481.3472711","url":null,"abstract":"Despite the availability of extensive literature on the benefits and optimization of integrated thermal-electric grids, the dynamics aspects of their operation are not often investigated and well understood. Combined Heat and Power (CHP) units that simultaneously generate electricity and useful heat are one of the main coupling elements between thermal and electric systems with complex dynamic behavior. This paper describes the effort to develop a dynamic model of a CHP unit that will be adequate for use in studies of integrated thermal-electric grids. The proposed model consists of the combustion engine, heat exchanger, exhaust heat exchanger and an induction generator. The developed model is calibrated using parameters of a CHP unit with the goal to validate the behavior of the model against the hardware testbed with the same CHP unit in the laboratory at the Research Center for Combined Smart Energy Systems (CoSES) of the Technical University of Munich (TUM). The individual components, internal combustion engine, heat exchanger, exhaust heat exchanger and induction generator, are modeled separately in from Modelica library. The water heat exchanger and the exhaust heat exchanger are modelled considering the condensing effect of water.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127252959","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}
Peb Ruswono Aryan, F. Ekaputra, M. Sabou, Daniel Hauer, R. Mosshammer, A. Einfalt, Tomasz Miksa, A. Rauber
Explainability can help cyber-physical systems alleviating risk in automating decisions that are affecting our life. Building an explainable cyber-physical system requires deriving explanations from system events and causality between the system elements. Cyber-physical energy systems such as smart grids involve cyber and physical aspects of energy systems and other elements, namely social and economic. Moreover, a smart-grid scale can range from a small village to a large region across countries. Therefore, integrating these varieties of data and knowledge is a fundamental challenge to build an explainable cyber-physical energy system. This paper aims to use knowledge graph based framework to solve this challenge. The framework consists of an ontology to model and link data from various sources and graph-based algorithm to derive explanations from the events. A simulated demand response scenario covering the above aspects further demonstrates the applicability of this framework.
{"title":"Explainable cyber-physical energy systems based on knowledge graph","authors":"Peb Ruswono Aryan, F. Ekaputra, M. Sabou, Daniel Hauer, R. Mosshammer, A. Einfalt, Tomasz Miksa, A. Rauber","doi":"10.1145/3470481.3472704","DOIUrl":"https://doi.org/10.1145/3470481.3472704","url":null,"abstract":"Explainability can help cyber-physical systems alleviating risk in automating decisions that are affecting our life. Building an explainable cyber-physical system requires deriving explanations from system events and causality between the system elements. Cyber-physical energy systems such as smart grids involve cyber and physical aspects of energy systems and other elements, namely social and economic. Moreover, a smart-grid scale can range from a small village to a large region across countries. Therefore, integrating these varieties of data and knowledge is a fundamental challenge to build an explainable cyber-physical energy system. This paper aims to use knowledge graph based framework to solve this challenge. The framework consists of an ontology to model and link data from various sources and graph-based algorithm to derive explanations from the events. A simulated demand response scenario covering the above aspects further demonstrates the applicability of this framework.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132353399","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}
Undesired behaviors such as cross-network faults start to emerge when energy systems are coupled together. It is important to understand such phenomena and to develop countermeasures to ensure energy supply stability. In this paper, coupled heat and electric system is studied. If a fault happens in the heat system, it is possible that the electric microgrid will get a cascading failure. This is important because hydraulic faults in heat supply systems can happen quite often due to pipe bursts and sometimes can be hard to detect. This fault type may lead to a short-time or constant electrical power surge and power quality degradation. This paper focuses on dynamic modelling and simulation of cross-network fault propagation and its potential impact on low inertia electric microgrid. The presented simulation results suggest that a pipe burst fault can cause significant power increases and a frequency deviation to the low inertia electric microgrid, where the impact depends on the topology of the hydraulic grid and the scale of the microgrid.
{"title":"Impact of hydraulic faults on the electric system in an integrated multi-energy microgrid","authors":"Ruihao Song, T. Hamacher, V. Perić","doi":"10.1145/3470481.3472709","DOIUrl":"https://doi.org/10.1145/3470481.3472709","url":null,"abstract":"Undesired behaviors such as cross-network faults start to emerge when energy systems are coupled together. It is important to understand such phenomena and to develop countermeasures to ensure energy supply stability. In this paper, coupled heat and electric system is studied. If a fault happens in the heat system, it is possible that the electric microgrid will get a cascading failure. This is important because hydraulic faults in heat supply systems can happen quite often due to pipe bursts and sometimes can be hard to detect. This fault type may lead to a short-time or constant electrical power surge and power quality degradation. This paper focuses on dynamic modelling and simulation of cross-network fault propagation and its potential impact on low inertia electric microgrid. The presented simulation results suggest that a pipe burst fault can cause significant power increases and a frequency deviation to the low inertia electric microgrid, where the impact depends on the topology of the hydraulic grid and the scale of the microgrid.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130406497","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}
Dafang Zhao, Daichi Watari, Yukiko Ozawa, Ittetsu Taniguchi, Toshihiro Suzuki, S. Shiochi, Y. Shimoda, Takao Onoye
In this study, an online management framework for building HVAC (Heating, Ventilation, and Air-Conditioning) systems, which achieves peak shaving and thermal comfort improvement, has been designed and studied experimentally. We formulate a model predictive control (MPC) problem for the HVAC control, of which the objective is to minimize the electricity costs and demand peak and maximize thermal comfort. A thermal equivalent circuit model (TECM) was developed to describe the target room's thermal behavior. The TECM is experimentally validated under different ambient temperatures, heat/cooling loads, and occupations. The temperature responses obtained from TECM have a good agreement with observations, and the maximum deviation is below 8%. The online management framework of the HVAC system was developed based on TECM, which includes a monitoring system based on HVAC built-in sensor and embedded technology and a real-time HVAC system control module based on the MPC problem. The performance of the proposed framework with different operating conditions was investigated in the actual room. The results show that the HVAC systems using this framework can achieve better room temperature control and a further improvement in energy efficiency.
{"title":"Online management framework for building HVAC systems considering peak shaving and thermal comfort: an experimental study","authors":"Dafang Zhao, Daichi Watari, Yukiko Ozawa, Ittetsu Taniguchi, Toshihiro Suzuki, S. Shiochi, Y. Shimoda, Takao Onoye","doi":"10.1145/3470481.3472710","DOIUrl":"https://doi.org/10.1145/3470481.3472710","url":null,"abstract":"In this study, an online management framework for building HVAC (Heating, Ventilation, and Air-Conditioning) systems, which achieves peak shaving and thermal comfort improvement, has been designed and studied experimentally. We formulate a model predictive control (MPC) problem for the HVAC control, of which the objective is to minimize the electricity costs and demand peak and maximize thermal comfort. A thermal equivalent circuit model (TECM) was developed to describe the target room's thermal behavior. The TECM is experimentally validated under different ambient temperatures, heat/cooling loads, and occupations. The temperature responses obtained from TECM have a good agreement with observations, and the maximum deviation is below 8%. The online management framework of the HVAC system was developed based on TECM, which includes a monitoring system based on HVAC built-in sensor and embedded technology and a real-time HVAC system control module based on the MPC problem. The performance of the proposed framework with different operating conditions was investigated in the actual room. The results show that the HVAC systems using this framework can achieve better room temperature control and a further improvement in energy efficiency.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121897704","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}
Yigu Liu, Ioannis Semertzis, Alexandria Stefanov, P. Palensky
The security issues of Cyber-Physical power Systems (CPS) have attracted widespread attention from scholars. Vulnerability assessment emerges as an effective method to identify the critical components and thus increase the system resilience. While efforts have been made to study the vulnerability features of power systems under the occurrence of a single, discrete disturbance or failure at a specific time instant, this paper focuses on identifying the critical components of the cyber-physical system considering time-varying operational states. To investigate the potentially ever-changing CPS vulnerability features, in this paper we construct a database of cascading failure chains using quasi-dynamic simulations to capture the vulnerability relationships among components under time-varying operational states. Then, by adopting sequential mining algorithms, we mine the most frequent cascading failure patterns and identify the critical components based on the data mining results. Simulation studies are conducted on IEEE 39-bus and IEEE RTS-96 systems to evaluate the effectiveness of the proposed method for the identification of critical components at both cyber and physical layers.
{"title":"Critical components identification for cyber-physical power systems considering time-varying operational states","authors":"Yigu Liu, Ioannis Semertzis, Alexandria Stefanov, P. Palensky","doi":"10.1145/3470481.3472702","DOIUrl":"https://doi.org/10.1145/3470481.3472702","url":null,"abstract":"The security issues of Cyber-Physical power Systems (CPS) have attracted widespread attention from scholars. Vulnerability assessment emerges as an effective method to identify the critical components and thus increase the system resilience. While efforts have been made to study the vulnerability features of power systems under the occurrence of a single, discrete disturbance or failure at a specific time instant, this paper focuses on identifying the critical components of the cyber-physical system considering time-varying operational states. To investigate the potentially ever-changing CPS vulnerability features, in this paper we construct a database of cascading failure chains using quasi-dynamic simulations to capture the vulnerability relationships among components under time-varying operational states. Then, by adopting sequential mining algorithms, we mine the most frequent cascading failure patterns and identify the critical components based on the data mining results. Simulation studies are conducted on IEEE 39-bus and IEEE RTS-96 systems to evaluate the effectiveness of the proposed method for the identification of critical components at both cyber and physical layers.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867889","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}
Rafael Poppenborg, Johannes Ruf, Malte Chlosta, Jianlei Liu, C. Hotz, Clemens Düpmeier, T. Kolb, V. Hagenmeyer
Coping with the complexity of future energy grids and the rising challenges of the energy transition to more renewable energy sources (RES), an Energy Hub Gas (EHG) concept appears to be a promising approach. This concept combines various technical components to a sector-coupling system network to support the electricity grid with ancillary and balancing services to cope with the fluctuating generation by RES and to provide (renewable) energy carriers. Additionally, the EHG serves as regional gateway and as a converter for large, centralized RES-feed-in and aggregation/distribution hub of local RES-feed-in. For combining several separate models from different domains to an EHG system model, a co-simulation approach is used with high regard on flexibility concerning the modelling aspects as well as high modularity to easily adapt the concept to further use cases. As main results presented in the paper, the coherence of the extended EHG system model and its usability for implementation in co-simulation can be shown in first simulations.
{"title":"Energy hub gas: a multi-domain system modelling and co-simulation approach","authors":"Rafael Poppenborg, Johannes Ruf, Malte Chlosta, Jianlei Liu, C. Hotz, Clemens Düpmeier, T. Kolb, V. Hagenmeyer","doi":"10.1145/3470481.3472712","DOIUrl":"https://doi.org/10.1145/3470481.3472712","url":null,"abstract":"Coping with the complexity of future energy grids and the rising challenges of the energy transition to more renewable energy sources (RES), an Energy Hub Gas (EHG) concept appears to be a promising approach. This concept combines various technical components to a sector-coupling system network to support the electricity grid with ancillary and balancing services to cope with the fluctuating generation by RES and to provide (renewable) energy carriers. Additionally, the EHG serves as regional gateway and as a converter for large, centralized RES-feed-in and aggregation/distribution hub of local RES-feed-in. For combining several separate models from different domains to an EHG system model, a co-simulation approach is used with high regard on flexibility concerning the modelling aspects as well as high modularity to easily adapt the concept to further use cases. As main results presented in the paper, the coherence of the extended EHG system model and its usability for implementation in co-simulation can be shown in first simulations.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133192466","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}
A. Chhokra, C. Barreto, A. Dubey, G. Karsai, X. Koutsoukos
Due to the increased deployment of novel communication, control and protection functions, the grid has become vulnerable to a variety of attacks. Designing robust machine learning based attack detection and mitigation algorithms require large amounts of data that rely heavily on a representative environment, where different attacks can be simulated. This paper presents a comprehensive tool-chain for modeling and simulating attacks in power systems. The paper makes the following contributions, first, we present a probabilistic domain specific language to define multiple attack scenarios and simulation configuration parameters. Secondly, we extend the PyPower-dynamics simulator with protection system components to simulate cyber attacks in control and protection layers of power system. In the end, we demonstrate multiple attack scenarios with a case study based on IEEE 39 bus system.
{"title":"Power-attack: a comprehensive tool-chain for modeling and simulating attacks in power systems","authors":"A. Chhokra, C. Barreto, A. Dubey, G. Karsai, X. Koutsoukos","doi":"10.1145/3470481.3472705","DOIUrl":"https://doi.org/10.1145/3470481.3472705","url":null,"abstract":"Due to the increased deployment of novel communication, control and protection functions, the grid has become vulnerable to a variety of attacks. Designing robust machine learning based attack detection and mitigation algorithms require large amounts of data that rely heavily on a representative environment, where different attacks can be simulated. This paper presents a comprehensive tool-chain for modeling and simulating attacks in power systems. The paper makes the following contributions, first, we present a probabilistic domain specific language to define multiple attack scenarios and simulation configuration parameters. Secondly, we extend the PyPower-dynamics simulator with protection system components to simulate cyber attacks in control and protection layers of power system. In the end, we demonstrate multiple attack scenarios with a case study based on IEEE 39 bus system.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116535710","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}
Anthony Kemmeugne, A. Jahromi, D. Kundur, Marthe Kassouf
Cybersecurity enhancement of power systems has become one of the main objectives of utility managers and regulatory agencies because of the increasing number of cyberattacks against critical infrastructures. In this paper, we investigate the application of software-defined networking for improving the cyber-resilience of power systems in the presence of cyberattacks using false telecontrol commands. It is first demonstrated that cyberattackers can use false telecontrol commands to separate a power plant from a power grid or trip a major transmission line. Next, it is shown that software-defined networking can significantly enhance the cyber-resilience of power systems in the presence of cyberattacks using false telecontrol commands compared to legacy communication networks. This is because the source, destination and protocol of telecontrol commands can be examined and verified in software-defined networking before communication packet forwarding actions take place. Moreover, primary and back-up routes of telecontrol commands can be pre-engineered in software-defined networking to counteract potential cyberattacks.
{"title":"Towards cyber-resilient telecontrol commands using software-defined networking","authors":"Anthony Kemmeugne, A. Jahromi, D. Kundur, Marthe Kassouf","doi":"10.1145/3470481.3472707","DOIUrl":"https://doi.org/10.1145/3470481.3472707","url":null,"abstract":"Cybersecurity enhancement of power systems has become one of the main objectives of utility managers and regulatory agencies because of the increasing number of cyberattacks against critical infrastructures. In this paper, we investigate the application of software-defined networking for improving the cyber-resilience of power systems in the presence of cyberattacks using false telecontrol commands. It is first demonstrated that cyberattackers can use false telecontrol commands to separate a power plant from a power grid or trip a major transmission line. Next, it is shown that software-defined networking can significantly enhance the cyber-resilience of power systems in the presence of cyberattacks using false telecontrol commands compared to legacy communication networks. This is because the source, destination and protocol of telecontrol commands can be examined and verified in software-defined networking before communication packet forwarding actions take place. Moreover, primary and back-up routes of telecontrol commands can be pre-engineered in software-defined networking to counteract potential cyberattacks.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159138","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}
Daniel Grujic, Tabea Henning, E. García, A. Bergmann
For the validation of safety-critical systems regarding safety and comfort, e.g., in the context of automated driving, engineers often have to cope with large (parametric) test spaces for which it is infeasible to test through all possible parameter configurations. At the same time, critical behavior of a well-engineered system with respect to prescribed safety and comfort requirements tends to be extremely rare, often with probabilities of order 10-6 or less, but clearly has to be examined carefully for valid argumentation. Hence, common approaches like boundary value analysis are insufficient, while methods based on random sampling from the parameter space (simple Monte Carlo) lack the ability to detect these rare critical events efficiently, i.e. with appropriate simulation budget. For this reason, a more sophisticated simulation-based approach is proposed which employs optimistic optimization of an objective function called criticality in order to identify effectively the set of critical parameter configurations. This article documents a case study on applying criticality-based rare event simulation to a charging process (model) controlled by an automotive battery management system, and discusses lessons learned.
{"title":"Testing a battery management system via criticality-based rare event simulation","authors":"Daniel Grujic, Tabea Henning, E. García, A. Bergmann","doi":"10.1145/3470481.3472701","DOIUrl":"https://doi.org/10.1145/3470481.3472701","url":null,"abstract":"For the validation of safety-critical systems regarding safety and comfort, e.g., in the context of automated driving, engineers often have to cope with large (parametric) test spaces for which it is infeasible to test through all possible parameter configurations. At the same time, critical behavior of a well-engineered system with respect to prescribed safety and comfort requirements tends to be extremely rare, often with probabilities of order 10-6 or less, but clearly has to be examined carefully for valid argumentation. Hence, common approaches like boundary value analysis are insufficient, while methods based on random sampling from the parameter space (simple Monte Carlo) lack the ability to detect these rare critical events efficiently, i.e. with appropriate simulation budget. For this reason, a more sophisticated simulation-based approach is proposed which employs optimistic optimization of an objective function called criticality in order to identify effectively the set of critical parameter configurations. This article documents a case study on applying criticality-based rare event simulation to a charging process (model) controlled by an automotive battery management system, and discusses lessons learned.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121151924","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}
Hussain M. Mustafa, M. Bariya, K. S. Sajan, A. Chhokra, Amal Srivastava, A. Dubey, A. V. Meier, G. Biswas
In this work, we present a Real-Time, Multi-layer cybEr-power TestbEd for the Resiliency analysis (RT-METER) to support power grid operation and planning. Developed cyber-power testbed provides a mechanism for end-to-end validation of advanced tools for cyber-power grid monitoring, control, and planning. By integrating a host of features across three core layers-physical power system, communication network, and monitoring/control center with advanced tools,---the testbed provides a platform to model and simulate rich and diverse cyber-power grid scenarios and generating realistic sensors, system, and network data. These data are subsequently used in validating advanced tools to assist operators during complex and challenging scenarios, which is essential for the successful operation of the future grid. We detail a suite of algorithmic tools validated using the developed testbed and the generated realistic grid data.
{"title":"RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis","authors":"Hussain M. Mustafa, M. Bariya, K. S. Sajan, A. Chhokra, Amal Srivastava, A. Dubey, A. V. Meier, G. Biswas","doi":"10.1145/3470481.3472708","DOIUrl":"https://doi.org/10.1145/3470481.3472708","url":null,"abstract":"In this work, we present a Real-Time, Multi-layer cybEr-power TestbEd for the Resiliency analysis (RT-METER) to support power grid operation and planning. Developed cyber-power testbed provides a mechanism for end-to-end validation of advanced tools for cyber-power grid monitoring, control, and planning. By integrating a host of features across three core layers-physical power system, communication network, and monitoring/control center with advanced tools,---the testbed provides a platform to model and simulate rich and diverse cyber-power grid scenarios and generating realistic sensors, system, and network data. These data are subsequently used in validating advanced tools to assist operators during complex and challenging scenarios, which is essential for the successful operation of the future grid. We detail a suite of algorithmic tools validated using the developed testbed and the generated realistic grid data.","PeriodicalId":212112,"journal":{"name":"Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123979264","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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