Pub Date : 2024-11-18DOI: 10.1109/tsg.2024.3501356
Zelin Liu, Tao Liu, Yue Song, David J. Hill
{"title":"Consecutive Load Redistribution Attack Without Line Admittance Information","authors":"Zelin Liu, Tao Liu, Yue Song, David J. Hill","doi":"10.1109/tsg.2024.3501356","DOIUrl":"https://doi.org/10.1109/tsg.2024.3501356","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"74 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1109/tsg.2024.3498945
Weifeng Zhong, Wei Su, Xumin Huang, Jiawen Kang, Chau Yuen, Ruilong Deng, Yan Zhang, Shengli Xie
{"title":"Joint Energy-Computation Management for Electric Vehicles under Coordination of Power Distribution Networks and Computing Power Networks","authors":"Weifeng Zhong, Wei Su, Xumin Huang, Jiawen Kang, Chau Yuen, Ruilong Deng, Yan Zhang, Shengli Xie","doi":"10.1109/tsg.2024.3498945","DOIUrl":"https://doi.org/10.1109/tsg.2024.3498945","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"21 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-31DOI: 10.1109/TSG.2024.3489172
{"title":"2023-2024 Index IEEE Transactions on Smart Grid Vol. 15","authors":"","doi":"10.1109/TSG.2024.3489172","DOIUrl":"10.1109/TSG.2024.3489172","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 6","pages":"6183-6276"},"PeriodicalIF":8.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10740495","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1109/TSG.2024.3478449
{"title":"IEEE Transactions on Smart Grid Information for Authors","authors":"","doi":"10.1109/TSG.2024.3478449","DOIUrl":"10.1109/TSG.2024.3478449","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 6","pages":"C3-C3"},"PeriodicalIF":8.6,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10736380","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-02DOI: 10.1109/TSG.2024.3453648
Alaa Selim;Junbo Zhao;Bo Yang
This letter demonstrates a proof-of-concept validation of the Large Language Model (LLM) for smart inverter cyberattack detection through textual control commands. The proposed method can detect the manipulation of Volt/VAR curves and the comparison results with state-of-the-art machine learning techniques highlight its efficacy in identifying cyber attacks. Test results obtained from a real distribution feeder in Colorado, USA, validate the high accuracy for attack classification as well as demonstrate the potential of LLMs in adding a robust security layer for cyber-attacks.
{"title":"Large Language Model for Smart Inverter Cyber-Attack Detection via Textual Analysis of Volt/VAR Commands","authors":"Alaa Selim;Junbo Zhao;Bo Yang","doi":"10.1109/TSG.2024.3453648","DOIUrl":"10.1109/TSG.2024.3453648","url":null,"abstract":"This letter demonstrates a proof-of-concept validation of the Large Language Model (LLM) for smart inverter cyberattack detection through textual control commands. The proposed method can detect the manipulation of Volt/VAR curves and the comparison results with state-of-the-art machine learning techniques highlight its efficacy in identifying cyber attacks. Test results obtained from a real distribution feeder in Colorado, USA, validate the high accuracy for attack classification as well as demonstrate the potential of LLMs in adding a robust security layer for cyber-attacks.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 6","pages":"6179-6182"},"PeriodicalIF":8.6,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142123789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In multi-agent active distribution networks, the information exchanges in the ADMM algorithm for the decentralized distribution-level optimal power flow (D-OPF) may expose sensitive load flows of tie-lines across adjacent agents. This may be overheard by adversarial agents for business competition. To preserve this privacy, this paper proposes a differentially private consensus ADMM (DP-C-ADMM) algorithm, which can offer a mixture solution of both realistically optimal generator outputs and obfuscated-but-feasible load flows of tie-lines. And $epsilon -$ differential privacy holds for load flows of tie-lines across agents over iterations. Case study justifies the theoretical properties of this algorithm up to specified privacy parameters.
{"title":"Decentralized Optimal Power Flow for Multi-Agent Active Distribution Networks: A Differentially Private Consensus ADMM Algorithm","authors":"Chao Lei;Siqi Bu;Qifan Chen;Qianggang Wang;Qin Wang;Dipti Srinivasan","doi":"10.1109/TSG.2024.3451793","DOIUrl":"10.1109/TSG.2024.3451793","url":null,"abstract":"In multi-agent active distribution networks, the information exchanges in the ADMM algorithm for the decentralized distribution-level optimal power flow (D-OPF) may expose sensitive load flows of tie-lines across adjacent agents. This may be overheard by adversarial agents for business competition. To preserve this privacy, this paper proposes a differentially private consensus ADMM (DP-C-ADMM) algorithm, which can offer a mixture solution of both realistically optimal generator outputs and obfuscated-but-feasible load flows of tie-lines. And \u0000<inline-formula> <tex-math>$epsilon -$ </tex-math></inline-formula>\u0000differential privacy holds for load flows of tie-lines across agents over iterations. Case study justifies the theoretical properties of this algorithm up to specified privacy parameters.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 6","pages":"6175-6178"},"PeriodicalIF":8.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-29DOI: 10.1109/TSG.2024.3451614
Ruiwen Liu;Hongxun Hui;Xia Chen;Yonghua Song
Renewable energy sources introduce more fluctuations into the power system and bring challenges to maintain the system stability. Conventional generation units are gradually replaced and may soon become inadequate to meet the frequency regulation (FR) requirements. Consequently, demand-side resources for FR have received increasing attention. Among demand-side sources, inverter air conditioners (IACs) have huge regulation capacity and account for nearly 40% of the total power consumption in summer, while energy storage systems (ESSs) excel in rapid response and powerful ramp rate. However, the inadequate ramp speed of IACs and the insufficient regulation capacity of ESSs render them incapable of providing FR independently. To tackle this problem, this paper proposes a distributed coordinated control algorithm that allows the effective utilization of ESSs and IACs to provide FR considering the respective advantages. Firstly, an equivalent thermal energy storage model of IAC in alignment with ESS is introduced considering heterogeneous parameters. Subsequently, a coordinated control framework is proposed for heterogeneous ESSs (hetero-ESSs), which are composed of ESSs and IACs. Based on the framework, a distributed consensus algorithm is devised for hetero-ESSs, and its stability is demonstrated through the application of the Lyapunov theorem. Finally, numerical studies verify that the proposed framework can promote ESSs’ short-term ability and IACs’ long-term flexibility.
{"title":"Distributed Frequency Control of Heterogeneous Energy Storage Systems Considering Short-Term Ability and Long-Term Flexibility","authors":"Ruiwen Liu;Hongxun Hui;Xia Chen;Yonghua Song","doi":"10.1109/TSG.2024.3451614","DOIUrl":"10.1109/TSG.2024.3451614","url":null,"abstract":"Renewable energy sources introduce more fluctuations into the power system and bring challenges to maintain the system stability. Conventional generation units are gradually replaced and may soon become inadequate to meet the frequency regulation (FR) requirements. Consequently, demand-side resources for FR have received increasing attention. Among demand-side sources, inverter air conditioners (IACs) have huge regulation capacity and account for nearly 40% of the total power consumption in summer, while energy storage systems (ESSs) excel in rapid response and powerful ramp rate. However, the inadequate ramp speed of IACs and the insufficient regulation capacity of ESSs render them incapable of providing FR independently. To tackle this problem, this paper proposes a distributed coordinated control algorithm that allows the effective utilization of ESSs and IACs to provide FR considering the respective advantages. Firstly, an equivalent thermal energy storage model of IAC in alignment with ESS is introduced considering heterogeneous parameters. Subsequently, a coordinated control framework is proposed for heterogeneous ESSs (hetero-ESSs), which are composed of ESSs and IACs. Based on the framework, a distributed consensus algorithm is devised for hetero-ESSs, and its stability is demonstrated through the application of the Lyapunov theorem. Finally, numerical studies verify that the proposed framework can promote ESSs’ short-term ability and IACs’ long-term flexibility.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 6","pages":"5693-5705"},"PeriodicalIF":8.6,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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