Pub Date : 2024-10-03DOI: 10.1109/JSYST.2024.3464558
Yifan Zhu;Kang Li;Pengcheng Zhu;Yan Wang
Ultrareliable and low-latency communications (URLLC) is expected to support mission-critical services in industrial Internet of things with its stringent quality-of-service (QoS) metrics. This demands a large consumption of spectrum resource, which is scarce and requires to be configured appropriately. To enhance spectral efficiency and mitigate latency caused by control signaling, we propose a grant-free nonorthogonal multiple access (NOMA) scheme. Packet duplication with frequency diversity (PDFD) is utilized to ensure reliability. The distributed antenna system (DAS) is deployed to further mitigate interdevice interference for URLLC in industrial automation scenarios. With the proposed scheme and antenna configuration, we jointly optimize the uplink and downlink bandwidth assignment and delay components to minimize the total spectrum consumption under the QoS requirements of end-to-end URLLC. A two-step method is then proposed to find the globally optimal solution. In addition, we expand our framework to block segmentation with independent coding mechanism for comparison with PDFD and validate the spectral efficiency superiority of PDFD. Simulation results show the spectral efficiency gain of the two-step method under our proposed schemes, indicating that NOMA integrated with DAS is superior for URLLC with massive devices.
超可靠和低延迟通信（URLLC）有望以其严格的服务质量（QoS）指标支持工业物联网中的关键任务服务。这对频谱资源的消耗很大，频谱资源本来就很稀缺，需要合理配置。为了提高频谱效率和减轻控制信令引起的延迟，我们提出了一种无授权的非正交多址（NOMA）方案。采用PDFD （Packet duplication with frequency diversity）技术保证可靠性。分布式天线系统（DAS）的部署是为了进一步减少URLLC在工业自动化场景中的设备间干扰。在端到端URLLC的QoS要求下，通过提出的方案和天线配置，共同优化上下行带宽分配和时延组件，使总频谱消耗最小化。然后提出了一种求全局最优解的两步法。此外，我们将框架扩展到具有独立编码机制的块分割，并与PDFD进行了比较，验证了PDFD的频谱效率优势。仿真结果表明，两步法的频谱效率增益在我们提出的方案下得到了提高，表明NOMA与DAS集成的方法在大规模设备的URLLC中具有优越性。
{"title":"Joint Uplink and Downlink Nonorthogonal Resource Allocation for URLLC in Distributed Antenna Systems","authors":"Yifan Zhu;Kang Li;Pengcheng Zhu;Yan Wang","doi":"10.1109/JSYST.2024.3464558","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3464558","url":null,"abstract":"Ultrareliable and low-latency communications (URLLC) is expected to support mission-critical services in industrial Internet of things with its stringent quality-of-service (QoS) metrics. This demands a large consumption of spectrum resource, which is scarce and requires to be configured appropriately. To enhance spectral efficiency and mitigate latency caused by control signaling, we propose a grant-free nonorthogonal multiple access (NOMA) scheme. Packet duplication with frequency diversity (PDFD) is utilized to ensure reliability. The distributed antenna system (DAS) is deployed to further mitigate interdevice interference for URLLC in industrial automation scenarios. With the proposed scheme and antenna configuration, we jointly optimize the uplink and downlink bandwidth assignment and delay components to minimize the total spectrum consumption under the QoS requirements of end-to-end URLLC. A two-step method is then proposed to find the globally optimal solution. In addition, we expand our framework to block segmentation with independent coding mechanism for comparison with PDFD and validate the spectral efficiency superiority of PDFD. Simulation results show the spectral efficiency gain of the two-step method under our proposed schemes, indicating that NOMA integrated with DAS is superior for URLLC with massive devices.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2121-2132"},"PeriodicalIF":4.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1109/JSYST.2024.3460747
Junfeng Zhang;Tarek Raïssi;Fengyu Lin;Baozhu Du
This article investigates the double event-triggered consensus of positive multiagent systems with disturbance based on proportional integral observers (PIOs). First, PIOs concerning state and disturbance are designed, respectively. Then, a double event-triggered mechanism is presented: One is used to reduce the communication frequency between agents and their observers and the other one is used to reduce the communication frequency between agents and the corresponding control protocols. Moreover, a novel consensus framework is constructed for the systems by introducing a set of new variables, where an additional constant term is added to error dynamics. By constructing a copositive Lyapunov function, the positivity and stability of the systems are reached under the designed proportional integral state and disturbance observers. The gain matrices of the observers and control protocols are formulated via a matrix decomposition technique and computed in terms of linear programming. Finally, one example is presented to verify the effectiveness of the consensus algorithm.
{"title":"Double Event-Triggered Consensus of Positive Multiagent Systems With Disturbance Based on Proportional Integral Observers","authors":"Junfeng Zhang;Tarek Raïssi;Fengyu Lin;Baozhu Du","doi":"10.1109/JSYST.2024.3460747","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3460747","url":null,"abstract":"This article investigates the double event-triggered consensus of positive multiagent systems with disturbance based on proportional integral observers (PIOs). First, PIOs concerning state and disturbance are designed, respectively. Then, a double event-triggered mechanism is presented: One is used to reduce the communication frequency between agents and their observers and the other one is used to reduce the communication frequency between agents and the corresponding control protocols. Moreover, a novel consensus framework is constructed for the systems by introducing a set of new variables, where an additional constant term is added to error dynamics. By constructing a copositive Lyapunov function, the positivity and stability of the systems are reached under the designed proportional integral state and disturbance observers. The gain matrices of the observers and control protocols are formulated via a matrix decomposition technique and computed in terms of linear programming. Finally, one example is presented to verify the effectiveness of the consensus algorithm.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2030-2041"},"PeriodicalIF":4.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1109/JSYST.2024.3456864
Ling-Hsuan Huang;Ching-Hu Lu
In recent years, the artificial intelligence of things (AIoT) has accelerated the development of edge computing. Since existing edge computing for dense video captioning has only explored single-camera decision-making, we propose a lightweight image stitching model that uses a proposed inverted pruned residual model to realize multicamera decision-making to generate more accurate captions. Existing dense video captioning uses an intensive attention mechanism, which readily results in the loss of important information. Thus, our study proposes an average sparse attention mechanism such that the resultant dense video-captioning model is better able to focus on important information and improve the quality of its generated captions. The experiments show that the lightweight video stitching model can reduce model parameters by 13.40% and increase frames per second by 28.96% on an edge platform when compared to the latest studies. Furthermore, a dense video caption network with the average sparse attention mechanism yielded improvements of 22.97% for BLEU3, 35.04% for BLEU4, and 7.51% for METEOR.
{"title":"Average Sparse Attention for Dense Video Captioning From Multiperspective Edge-Computing Cameras","authors":"Ling-Hsuan Huang;Ching-Hu Lu","doi":"10.1109/JSYST.2024.3456864","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3456864","url":null,"abstract":"In recent years, the artificial intelligence of things (AIoT) has accelerated the development of edge computing. Since existing edge computing for dense video captioning has only explored single-camera decision-making, we propose a lightweight image stitching model that uses a proposed inverted pruned residual model to realize multicamera decision-making to generate more accurate captions. Existing dense video captioning uses an intensive attention mechanism, which readily results in the loss of important information. Thus, our study proposes an average sparse attention mechanism such that the resultant dense video-captioning model is better able to focus on important information and improve the quality of its generated captions. The experiments show that the lightweight video stitching model can reduce model parameters by 13.40% and increase frames per second by 28.96% on an edge platform when compared to the latest studies. Furthermore, a dense video caption network with the average sparse attention mechanism yielded improvements of 22.97% for BLEU3, 35.04% for BLEU4, and 7.51% for METEOR.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"1939-1950"},"PeriodicalIF":4.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1109/JSYST.2024.3463715
Tan N. Nguyen;Trinh Van Chien;Dinh-Hieu Tran;Bui Vu Minh;Nguyen Chi Ngon;Miroslav Voznak;Zhiguo Ding
This article introduces novel and deep learning approaches for the security analysis of a hybrid satellite-terrestrial cooperative network. More specifically, a satellite transmits information to a ground user through multiple relays in the presence of an eavesdropper. To prevent potential eavesdropping, multiple friendly jammers are employed to disrupt the reception process of the eavesdropper by artificial noise. Within this setting, we then derive the closed-form expressions of the outage probability (OP) and secrecy outage probability (SOP) of the considered system in the presence of imperfect channel state information. Important to mention is the fact that in complex systems (e.g., with multiple jammers, multiple relays, and considering the independent but nonidentically distributed Rician nature of satellite links), analytical approaches may not be effective due to their complex mathematical derivations. As such, we develop a highly effective yet low-complexity deep learning approach to estimate the OP and SOP of the system. Through extensive Monte Carlo simulations, we evaluate the OP and SOP of the system in various settings and demonstrate the effectiveness of the proposed solutions. Interestingly, the proposed deep learning method can achieve comparable performance to that of the analytical approach.
{"title":"Cooperative Satellite-Terrestrial Networks With Imperfect CSI and Multiple Jammers: Performance Analysis and Deep Learning Evaluation","authors":"Tan N. Nguyen;Trinh Van Chien;Dinh-Hieu Tran;Bui Vu Minh;Nguyen Chi Ngon;Miroslav Voznak;Zhiguo Ding","doi":"10.1109/JSYST.2024.3463715","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3463715","url":null,"abstract":"This article introduces novel and deep learning approaches for the security analysis of a hybrid satellite-terrestrial cooperative network. More specifically, a satellite transmits information to a ground user through multiple relays in the presence of an eavesdropper. To prevent potential eavesdropping, multiple friendly jammers are employed to disrupt the reception process of the eavesdropper by artificial noise. Within this setting, we then derive the closed-form expressions of the outage probability (OP) and secrecy outage probability (SOP) of the considered system in the presence of imperfect channel state information. Important to mention is the fact that in complex systems (e.g., with multiple jammers, multiple relays, and considering the independent but nonidentically distributed Rician nature of satellite links), analytical approaches may not be effective due to their complex mathematical derivations. As such, we develop a highly effective yet low-complexity deep learning approach to estimate the OP and SOP of the system. Through extensive Monte Carlo simulations, we evaluate the OP and SOP of the system in various settings and demonstrate the effectiveness of the proposed solutions. Interestingly, the proposed deep learning method can achieve comparable performance to that of the analytical approach.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2062-2073"},"PeriodicalIF":4.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-26DOI: 10.1109/JSYST.2024.3459926
Xiaobo Wang;Qiong Wu;Pingyi Fan;Qiang Fan;Huiling Zhu;Jiangzhou Wang
As the rise of information and communication technology, the cooperative work of vehicles has become crucial in realizing Internet of Vehicles (IoV). Federated learning (FL) is a promising technology to protect vehicles' privacy in IoV. Vehicles with limited computation capacity may face a large computational burden associated with FL. Federated edge learning (FEEL) systems are introduced to solve such a problem. In FEEL systems, vehicles adopt the cellular-vehicle to everything (C-V2X) mode 4 to upload encrypted data to road side units' (RSUs) cache queue. Then, RSUs train the data transmitted by vehicles, update the local model hyperparameters, and send back results to vehicles, thus, vehicles' computational burden can be released. However, each RSU has limited cache queue. To maintain the stability of cache queue and maximize the accuracy of model, it is essential to select appropriate vehicles to upload data. The vehicle selection method for FEEL systems faces challenges due to the random departure of data from the cache queue caused by the stochastic channel and the different system status of vehicles. This article proposes a vehicle selection method for FEEL systems that aims to maximize the accuracy of model while keeping the cache queue stable. Extensive simulation experiments demonstrate that our proposed method outperforms other baseline selection methods.
{"title":"Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems","authors":"Xiaobo Wang;Qiong Wu;Pingyi Fan;Qiang Fan;Huiling Zhu;Jiangzhou Wang","doi":"10.1109/JSYST.2024.3459926","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3459926","url":null,"abstract":"As the rise of information and communication technology, the cooperative work of vehicles has become crucial in realizing Internet of Vehicles (IoV). Federated learning (FL) is a promising technology to protect vehicles' privacy in IoV. Vehicles with limited computation capacity may face a large computational burden associated with FL. Federated edge learning (FEEL) systems are introduced to solve such a problem. In FEEL systems, vehicles adopt the cellular-vehicle to everything (C-V2X) mode 4 to upload encrypted data to road side units' (RSUs) cache queue. Then, RSUs train the data transmitted by vehicles, update the local model hyperparameters, and send back results to vehicles, thus, vehicles' computational burden can be released. However, each RSU has limited cache queue. To maintain the stability of cache queue and maximize the accuracy of model, it is essential to select appropriate vehicles to upload data. The vehicle selection method for FEEL systems faces challenges due to the random departure of data from the cache queue caused by the stochastic channel and the different system status of vehicles. This article proposes a vehicle selection method for FEEL systems that aims to maximize the accuracy of model while keeping the cache queue stable. Extensive simulation experiments demonstrate that our proposed method outperforms other baseline selection methods.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"1927-1938"},"PeriodicalIF":4.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1109/JSYST.2024.3428029
{"title":"IEEE Systems Council Information","authors":"","doi":"10.1109/JSYST.2024.3428029","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3428029","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"C3-C3"},"PeriodicalIF":4.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10678817","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1109/JSYST.2024.3423489
Miaomiao Ma;Jing Cui;Xiangjie Liu;Kwang Y. Lee
This article considers the distributed economic model predictive control (DEMPC) scheme for addressing the load frequency control problem in a multiarea interconnected power system with wind turbines. The system is divided into multiple dynamically coupled subsystems, each subjected to state and control input constraints due to safety concerns. The overall optimal control problem is decomposed into several local optimal control problems based on the local information of each subsystem, meaning each area designs its own local DEMPC controller. Within this framework, the future state trajectories of neighboring subsystems are estimated from the transmitted information between neighbors. To enhance overall economic benefits, the economic stage cost, including load frequency regulation cost, fuel consumption cost, and wind generation cost, is incorporated into the cost function. Simulation results and analysis under different scenarios demonstrate potential improvements in computational burden, economic performance, and robustness of the designed DEMPC controller.
{"title":"Distributed Economic Model Predictive Load Frequency Control for the Multiarea Interconnected Power System With WTs","authors":"Miaomiao Ma;Jing Cui;Xiangjie Liu;Kwang Y. Lee","doi":"10.1109/JSYST.2024.3423489","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3423489","url":null,"abstract":"This article considers the distributed economic model predictive control (DEMPC) scheme for addressing the load frequency control problem in a multiarea interconnected power system with wind turbines. The system is divided into multiple dynamically coupled subsystems, each subjected to state and control input constraints due to safety concerns. The overall optimal control problem is decomposed into several local optimal control problems based on the local information of each subsystem, meaning each area designs its own local DEMPC controller. Within this framework, the future state trajectories of neighboring subsystems are estimated from the transmitted information between neighbors. To enhance overall economic benefits, the economic stage cost, including load frequency regulation cost, fuel consumption cost, and wind generation cost, is incorporated into the cost function. Simulation results and analysis under different scenarios demonstrate potential improvements in computational burden, economic performance, and robustness of the designed DEMPC controller.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1629-1638"},"PeriodicalIF":4.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1109/JSYST.2024.3428031
{"title":"IEEE Systems Journal Information for Authors","authors":"","doi":"10.1109/JSYST.2024.3428031","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3428031","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"C4-C4"},"PeriodicalIF":4.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10678820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1109/JSYST.2024.3427905
{"title":"IEEE Systems Journal Publication Information","authors":"","doi":"10.1109/JSYST.2024.3427905","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3427905","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"C2-C2"},"PeriodicalIF":4.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10678797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-09DOI: 10.1109/JSYST.2024.3446825
Mohamed Ramadan Younis;Reza Iravani
This article proposes a novel hybrid time-domain and direct stability method for rotor-angle stability assessment, aiming to improve the efficiency of existing approaches. The proposed method enables faster detection of both small-signal and transient stability scenarios while extending the applications of the classical stability direct methods to multiswing stability analysis. Unlike the conventional direct methods that rely on the overall system energy, the proposed approach calculates the system's critical energy using the critical apparatus energies, facilitating multiswing stability analysis. Key contributions of this work include the introduction of a new metric, termed “the time to instability,” which allows for the prediction of separation or islanding areas during disturbances. Additionally, the proposed method can rank all apparatus in a power system based on their criticality during small or large disturbances. Also, a stopping condition for the time-domain simulation is provided, reducing algorithm execution time and rendering it suitable for real-time or near-real-time application of dynamic security assessment. The proposed method is tested with multiple stability scenarios and the four possible stability scenarios are presented in this article using the IEEE 16-machine 68-bus power system. The results demonstrate the high accuracy of the proposed approach in identifying the critical apparatus and assessing first- and multirotor-anglestability in power systems.
{"title":"A Hybrid Method for Fast Rotor-Angle Stability Assessment","authors":"Mohamed Ramadan Younis;Reza Iravani","doi":"10.1109/JSYST.2024.3446825","DOIUrl":"10.1109/JSYST.2024.3446825","url":null,"abstract":"This article proposes a novel hybrid time-domain and direct stability method for rotor-angle stability assessment, aiming to improve the efficiency of existing approaches. The proposed method enables faster detection of both small-signal and transient stability scenarios while extending the applications of the classical stability direct methods to multiswing stability analysis. Unlike the conventional direct methods that rely on the overall system energy, the proposed approach calculates the system's critical energy using the critical apparatus energies, facilitating multiswing stability analysis. Key contributions of this work include the introduction of a new metric, termed “the time to instability,” which allows for the prediction of separation or islanding areas during disturbances. Additionally, the proposed method can rank all apparatus in a power system based on their criticality during small or large disturbances. Also, a stopping condition for the time-domain simulation is provided, reducing algorithm execution time and rendering it suitable for real-time or near-real-time application of dynamic security assessment. The proposed method is tested with multiple stability scenarios and the four possible stability scenarios are presented in this article using the IEEE 16-machine 68-bus power system. The results demonstrate the high accuracy of the proposed approach in identifying the critical apparatus and assessing first- and multirotor-anglestability in power systems.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2042-2051"},"PeriodicalIF":4.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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