Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917000
Xialin Li, Xunyang Wang, Li Guo, Zhongguan Wang, Chao Oin, Dezheng Zhang, Tao Luo
An equivalent frequency response (FR) model of sync-hronous interconnected system is of great significance to study the area frequency stability and virtual inertia control parameters design of renewable energy sources. Taking the cross section of transmission lines as the boundary, we can regard the concerned area and each external area as an equivalent generator respectively. In this paper, the interested area is considered to be known, then the equivalent generator of this area can be obtained by aggregation method. While for these external areas with complicated configuration and unknown parameters, how to identify the equivalent FR model is still a challenge task, which is the main motivation of this paper. Thus, a simple but effective method based on the local cross-section information is proposed to estimate the equivalent generators' inertia and primary control parameters of external areas. It should be noted that the proposed method can also be applied to estimate the FR model of the studied region. Combined with the aggregated FR model of the interested area, the completed FR model of the synchronous Interconnected power system can be constructed. Finally, an IEEE 5-area 68-bus power system has been modeled in PSCAD/EMTDC, and detailed transient simulation results have verified the method and associated analysis.
{"title":"Parameter Estimating of An Equivalent Frequency Response Model of Synchronous Interconnected Power System Based on Cross-Section Information","authors":"Xialin Li, Xunyang Wang, Li Guo, Zhongguan Wang, Chao Oin, Dezheng Zhang, Tao Luo","doi":"10.1109/PESGM48719.2022.9917000","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917000","url":null,"abstract":"An equivalent frequency response (FR) model of sync-hronous interconnected system is of great significance to study the area frequency stability and virtual inertia control parameters design of renewable energy sources. Taking the cross section of transmission lines as the boundary, we can regard the concerned area and each external area as an equivalent generator respectively. In this paper, the interested area is considered to be known, then the equivalent generator of this area can be obtained by aggregation method. While for these external areas with complicated configuration and unknown parameters, how to identify the equivalent FR model is still a challenge task, which is the main motivation of this paper. Thus, a simple but effective method based on the local cross-section information is proposed to estimate the equivalent generators' inertia and primary control parameters of external areas. It should be noted that the proposed method can also be applied to estimate the FR model of the studied region. Combined with the aggregated FR model of the interested area, the completed FR model of the synchronous Interconnected power system can be constructed. Finally, an IEEE 5-area 68-bus power system has been modeled in PSCAD/EMTDC, and detailed transient simulation results have verified the method and associated analysis.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395485","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916732
T. Ochoa, E. Gil, A. Angulo
This paper proposes the use of Artificial Neural Networks (ANN) for the efficient bidding of a Photovoltaic power plant with Energy Storage System (PV-ESS) participating in Day-Ahead (DA) and Real-Time (RT) energy and reserve markets under uncertainty. The Energy Management System (EMS) is based on Multi-Agent Deep Reinforcement Learning (MADRL). The MADRL scheme aims to maximize the profit of the hybrid PV-ESS plant through an efficient bidding in both markets. Results show that the MADRL framework can fulfill both the financial and physical constraints faced by the PV-ESS plant while providing energy and ancillary services. Daily market incomes have comparable mean values regarding traditional optimization approaches (average value of 1839 USD), but with a 45.3% smaller variance. Furthermore, it maintains a reference-tracking performance of 86.63% for one-year-round participation, against a 73.05% and 79.13% performance obtained with scenario-based robust and stochastic programming implementations, respectively.
{"title":"Efficient Bidding of a PV Power Plant with Energy Storage Participating in Day-Ahead and Real-Time Markets Using Artificial Neural Networks","authors":"T. Ochoa, E. Gil, A. Angulo","doi":"10.1109/PESGM48719.2022.9916732","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916732","url":null,"abstract":"This paper proposes the use of Artificial Neural Networks (ANN) for the efficient bidding of a Photovoltaic power plant with Energy Storage System (PV-ESS) participating in Day-Ahead (DA) and Real-Time (RT) energy and reserve markets under uncertainty. The Energy Management System (EMS) is based on Multi-Agent Deep Reinforcement Learning (MADRL). The MADRL scheme aims to maximize the profit of the hybrid PV-ESS plant through an efficient bidding in both markets. Results show that the MADRL framework can fulfill both the financial and physical constraints faced by the PV-ESS plant while providing energy and ancillary services. Daily market incomes have comparable mean values regarding traditional optimization approaches (average value of 1839 USD), but with a 45.3% smaller variance. Furthermore, it maintains a reference-tracking performance of 86.63% for one-year-round participation, against a 73.05% and 79.13% performance obtained with scenario-based robust and stochastic programming implementations, respectively.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123740540","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917076
M. Januszewski, R. Kowalik, Karol Kurek, D. Rasolomampionona, M. Kłos
This article describes a remote access method to substation automation equipped with cybersecurity functions. It describes the creation of remote supervision systems (called also “concentrators”) for protection systems, the changes that have occurred in recent years in their implementation and functions, as well as some innovative features of the new technology developed by the authors. The most important features of the new 3rd generation remote supervision systems have been identified, greatly increasing the security of remote connections to automation systems installed in power plants and the flexibility of their operation.
{"title":"Remote Access Gateway to Power Plant Automation Equipment With Cybersecurity Functions (Functionalities, Work Systems)","authors":"M. Januszewski, R. Kowalik, Karol Kurek, D. Rasolomampionona, M. Kłos","doi":"10.1109/PESGM48719.2022.9917076","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917076","url":null,"abstract":"This article describes a remote access method to substation automation equipped with cybersecurity functions. It describes the creation of remote supervision systems (called also “concentrators”) for protection systems, the changes that have occurred in recent years in their implementation and functions, as well as some innovative features of the new technology developed by the authors. The most important features of the new 3rd generation remote supervision systems have been identified, greatly increasing the security of remote connections to automation systems installed in power plants and the flexibility of their operation.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272960","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 : 2022-07-17DOI: 10.1109/pesgm48719.2022.9917087
Parag Mitra, D. Ramasubramanian, A. Gaikwad
Load modeling plays an important role in power system simulation studies. As the system loads evolve, load modeling communities worldwide are working to refine existing models as well as develop new models. In addition to the fault responses, the system loads also affect the ensuing interarea oscillations. The ability of a transmission planner to predict the damping of a future power system with changing loads depends greatly on how the load is modeled in transmission planning studies. This paper explains the mechanism of the impact of loads as well as load modeling on the electromechanical oscillations using a phasor approach and highlights how the changing load as well as the load modeling assumptions can play a big part in the ability of a planner to gauge the impact of loads on these oscillations.
{"title":"Impact of Load Modeling on Power System Oscillations","authors":"Parag Mitra, D. Ramasubramanian, A. Gaikwad","doi":"10.1109/pesgm48719.2022.9917087","DOIUrl":"https://doi.org/10.1109/pesgm48719.2022.9917087","url":null,"abstract":"Load modeling plays an important role in power system simulation studies. As the system loads evolve, load modeling communities worldwide are working to refine existing models as well as develop new models. In addition to the fault responses, the system loads also affect the ensuing interarea oscillations. The ability of a transmission planner to predict the damping of a future power system with changing loads depends greatly on how the load is modeled in transmission planning studies. This paper explains the mechanism of the impact of loads as well as load modeling on the electromechanical oscillations using a phasor approach and highlights how the changing load as well as the load modeling assumptions can play a big part in the ability of a planner to gauge the impact of loads on these oscillations.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125692966","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916897
Roohallah Khatami, Severin Nowak, Y. Chen
This paper proposes a measurement-based method for calculating real-time distribution locational marginal prices (DLMPs) without the use of an offline network model. Instead, the proposed method relies only on online measurements collected at a subset of distribution system buses to estimate a linear sensitivity model mapping bus voltages to injections, which in turn is embedded in an optimal power flow (OPF) problem as an equality constraint. The proposed method completely obviates the need for an accurate distribution network model that may not be available, especially for active distribution networks with faster variations in operating point. Also, the proposed method renders the original OPF problem with nonlinear constraints a computationally efficient quadratic programming problem (with linear constraints) and provides sufficiently accurate DLMPs at buses where measurements are collected. Via numerical simulations involving a 33-bus test system, we demonstrate that the proposed method yields similar DLMPs as solving the OPF problem with an up-to-date model and greatly outperforms it when the model is out of date.
{"title":"Measurement-based Locational Marginal Pricing in Active Distribution Systems","authors":"Roohallah Khatami, Severin Nowak, Y. Chen","doi":"10.1109/PESGM48719.2022.9916897","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916897","url":null,"abstract":"This paper proposes a measurement-based method for calculating real-time distribution locational marginal prices (DLMPs) without the use of an offline network model. Instead, the proposed method relies only on online measurements collected at a subset of distribution system buses to estimate a linear sensitivity model mapping bus voltages to injections, which in turn is embedded in an optimal power flow (OPF) problem as an equality constraint. The proposed method completely obviates the need for an accurate distribution network model that may not be available, especially for active distribution networks with faster variations in operating point. Also, the proposed method renders the original OPF problem with nonlinear constraints a computationally efficient quadratic programming problem (with linear constraints) and provides sufficiently accurate DLMPs at buses where measurements are collected. Via numerical simulations involving a 33-bus test system, we demonstrate that the proposed method yields similar DLMPs as solving the OPF problem with an up-to-date model and greatly outperforms it when the model is out of date.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126843440","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917110
Ahmadreza Abazari, M. Zadsar, Mohsen Ghafouri, C. Assi
Islanded microgrids (IMGs) are defined as low-inertia systems compared to conventional power grids due to existing inverter-based topologies and lack of heavy rotational masses in their structures. In this regard, IMGs require an accurate load frequency control (LFC) scheme to regulate the frequency response through a cyber layer on top of the physical layer. This multi-layer structure and the sensitivity of LFC schemes to any disturbance, however, makes MGs an appealing target for a variety of cyber-physical attacks (CPAs). This paper introduces an online detection algorithm for CPAs in IMGs by the use of a recursive least square method along with forgetting factor (RLS-FF). The simulation results verify the performance of the developed detection schemes, particularly when the RLS-FF approach coefficients, i.e., covariance matrix and forgetting factor are optimally selected using particle swarm optimization (PSO) algorithm.
{"title":"Detection of Cyber-Physical Attacks Using Optimal Recursive Least Square in an Islanded Microgrid","authors":"Ahmadreza Abazari, M. Zadsar, Mohsen Ghafouri, C. Assi","doi":"10.1109/PESGM48719.2022.9917110","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917110","url":null,"abstract":"Islanded microgrids (IMGs) are defined as low-inertia systems compared to conventional power grids due to existing inverter-based topologies and lack of heavy rotational masses in their structures. In this regard, IMGs require an accurate load frequency control (LFC) scheme to regulate the frequency response through a cyber layer on top of the physical layer. This multi-layer structure and the sensitivity of LFC schemes to any disturbance, however, makes MGs an appealing target for a variety of cyber-physical attacks (CPAs). This paper introduces an online detection algorithm for CPAs in IMGs by the use of a recursive least square method along with forgetting factor (RLS-FF). The simulation results verify the performance of the developed detection schemes, particularly when the RLS-FF approach coefficients, i.e., covariance matrix and forgetting factor are optimally selected using particle swarm optimization (PSO) algorithm.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115078776","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916879
S. Lakshminarayana, S. Adhikari, C. Maple
Recent research has shown that large-scale Internet of Things (loT)-based load altering attacks can have a serious impact on power grid operations such as causing unsafe frequency excursions and destabilizing the grid's control loops. In this work, we present an analytical framework to investigate the impact of loT-based static/dynamic load altering attacks (S/DLAAs) on the power grid's dynamic response. Existing work on this topic has mainly relied on numerical simulations and, to date, there is no analytical framework to identify the victim nodes from which that attacker can launch the most impactful attacks. To address these shortcomings, we use results from second-order dynamical systems to analyze the power grid frequency control loop under S/DLAAs. We use parametric sensitivity of the system's eigensolutions to identify victim nodes that correspond to the emph{least-effort} destabilizing DLAAs. Further, to analyze the SLAAs, we present closed-form expression for the system's frequency response in terms of the attacker's inputs, helping us characterize the minimum load change required to cause unsafe frequency excursions. Using these results, we formulate the defense against S/DLAAs as a linear programming problem in which we determine the minimum amount of load that needs to be secured at the victim nodes to ensure system safety/stability. Extensive simulations conducted using benchmark IEEE-bus systems validate the accuracy and efficacy of our approach.
{"title":"Analysis of IoT-Based Load Altering Attacks Against Power Grids Using the Theory of Second-Order Dynamical Systems","authors":"S. Lakshminarayana, S. Adhikari, C. Maple","doi":"10.1109/PESGM48719.2022.9916879","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916879","url":null,"abstract":"Recent research has shown that large-scale Internet of Things (loT)-based load altering attacks can have a serious impact on power grid operations such as causing unsafe frequency excursions and destabilizing the grid's control loops. In this work, we present an analytical framework to investigate the impact of loT-based static/dynamic load altering attacks (S/DLAAs) on the power grid's dynamic response. Existing work on this topic has mainly relied on numerical simulations and, to date, there is no analytical framework to identify the victim nodes from which that attacker can launch the most impactful attacks. To address these shortcomings, we use results from second-order dynamical systems to analyze the power grid frequency control loop under S/DLAAs. We use parametric sensitivity of the system's eigensolutions to identify victim nodes that correspond to the emph{least-effort} destabilizing DLAAs. Further, to analyze the SLAAs, we present closed-form expression for the system's frequency response in terms of the attacker's inputs, helping us characterize the minimum load change required to cause unsafe frequency excursions. Using these results, we formulate the defense against S/DLAAs as a linear programming problem in which we determine the minimum amount of load that needs to be secured at the victim nodes to ensure system safety/stability. Extensive simulations conducted using benchmark IEEE-bus systems validate the accuracy and efficacy of our approach.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500892","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917069
Jack S. Bryant, Lasantha Gunaruwan Meegahapola, B. Mcgrath, P. Sokolowski
Low short-circuit strength is an increasingly topical issue in power grids, owing to the recent rapid integration of inverter-based renewable energy generators. However, the critical stability limits (i.e., voltage stability and power transfer capability) of such generators' grid connections are rarely assessed when analyzing the effects of varying short-circuit ratios. This paper presents an analytical approach for assessing the critical stability limits of multi-infeed inverter-based generator grid connections. Initially, we formulate analytic expressions for the system's theoretical, critical stability limits as a function of the composite and weighted short-circuit ratios. Numerical studies predicated upon the analytic expressions subsequently explore the critical stability limits of a system comprising three paralleled grid-feeding inverters as part of a case study. Last, we use time-domain simulations to validate the conclusions drawn from the presented theoretical constructs and demonstrate the usefulness of the chosen approach.
{"title":"Assessing the Critical Stability Limits of Multi-Infeed Inverter-Based Generator Grid Connections: An Analytical Approach","authors":"Jack S. Bryant, Lasantha Gunaruwan Meegahapola, B. Mcgrath, P. Sokolowski","doi":"10.1109/PESGM48719.2022.9917069","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917069","url":null,"abstract":"Low short-circuit strength is an increasingly topical issue in power grids, owing to the recent rapid integration of inverter-based renewable energy generators. However, the critical stability limits (i.e., voltage stability and power transfer capability) of such generators' grid connections are rarely assessed when analyzing the effects of varying short-circuit ratios. This paper presents an analytical approach for assessing the critical stability limits of multi-infeed inverter-based generator grid connections. Initially, we formulate analytic expressions for the system's theoretical, critical stability limits as a function of the composite and weighted short-circuit ratios. Numerical studies predicated upon the analytic expressions subsequently explore the critical stability limits of a system comprising three paralleled grid-feeding inverters as part of a case study. Last, we use time-domain simulations to validate the conclusions drawn from the presented theoretical constructs and demonstrate the usefulness of the chosen approach.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122416162","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916734
Sangwon Yun, Donghyun Yoon, Jaesung Jung
In a multi-grounded neutral distribution system with distributed generation (DG), an optimally sized neutral grounding resistor (NGR) is important to mitigate temporary overvoltage (TOV). However, a strategy to determine the optimal NGR size to mitigate the TOV caused by the non-islanding operation of DG has not been investigated. This paper introduces an algorithm to determine such a strategy, regardless of the variations in the distribution system. First, a methodology to determine the TOV is briefly introduced. Based on this methodology, an algorithm to determine the optimal size of the NGR is developed. Finally, the proposed algorithm is shown to determine the optimal NGR size to lower the TOV, regardless of the variations in distribution system.
{"title":"Optimal Sizing of Neutral Ground Resistor to Mitigate Temporary Overvoltage by the Non-Islanding of Distributed Generation","authors":"Sangwon Yun, Donghyun Yoon, Jaesung Jung","doi":"10.1109/PESGM48719.2022.9916734","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916734","url":null,"abstract":"In a multi-grounded neutral distribution system with distributed generation (DG), an optimally sized neutral grounding resistor (NGR) is important to mitigate temporary overvoltage (TOV). However, a strategy to determine the optimal NGR size to mitigate the TOV caused by the non-islanding operation of DG has not been investigated. This paper introduces an algorithm to determine such a strategy, regardless of the variations in the distribution system. First, a methodology to determine the TOV is briefly introduced. Based on this methodology, an algorithm to determine the optimal size of the NGR is developed. Finally, the proposed algorithm is shown to determine the optimal NGR size to lower the TOV, regardless of the variations in distribution system.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122894402","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 : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916971
Ardavan Mohammadhassani, Yousef Akbar, A. Mehrizi‐Sani, Haining Wang
Enabling communication between the individual controllers of inverter-based resources (IBR) in a microgrid can result in improved system-wide response. However, it increases the vulnerability of microgrids to cyberattacks. This paper investigates the effects of cyberattacks on microgrids with 5G-enabled coordinated set point modulation (5GCSPM). A modified CIGRE North American MV distribution benchmark system with 28 IBRs equipped with 5GCSPM is built in PSCAD/EMTDC as the physical layer. A cyber-physical system is created by enabling TCP/IP communication between PSCAD/EMTDC and Raspberry Pi4. Different cyberattacks are carried out on the TCP/IP connection while running time-domain simulation studies to evaluate the performance of 5GCSPM.
{"title":"Cyber Vulnerability Assessment of Microgrids with 5G- Enabled Distributed Control","authors":"Ardavan Mohammadhassani, Yousef Akbar, A. Mehrizi‐Sani, Haining Wang","doi":"10.1109/PESGM48719.2022.9916971","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916971","url":null,"abstract":"Enabling communication between the individual controllers of inverter-based resources (IBR) in a microgrid can result in improved system-wide response. However, it increases the vulnerability of microgrids to cyberattacks. This paper investigates the effects of cyberattacks on microgrids with 5G-enabled coordinated set point modulation (5GCSPM). A modified CIGRE North American MV distribution benchmark system with 28 IBRs equipped with 5GCSPM is built in PSCAD/EMTDC as the physical layer. A cyber-physical system is created by enabling TCP/IP communication between PSCAD/EMTDC and Raspberry Pi4. Different cyberattacks are carried out on the TCP/IP connection while running time-domain simulation studies to evaluate the performance of 5GCSPM.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122936197","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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