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IEEE Transactions on Smart Grid最新文献

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Decentralized Coordinated Scheduling of Port Integrated Energy System and Bulk Terminal With Two-Tier Incentives 采用双层激励机制的港口综合能源系统和散货码头分散协调调度系统
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-14 DOI: 10.1109/tsg.2024.3444276
Yue Pu, Haoming Liu, Jian Wang, Feng Liu
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引用次数: 0
Asynchronous Communication-Based Distributed Control Strategy for ON/OFF State Thermostatically Controlled Loads 基于异步通信的开/关状态恒温负载分布式控制策略
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-14 DOI: 10.1109/tsg.2024.3443062
Zhen-Wei Yu, Li Ding, Qiao Lin, Shi-Rong Zhang, Zhi-Wei Liu
{"title":"Asynchronous Communication-Based Distributed Control Strategy for ON/OFF State Thermostatically Controlled Loads","authors":"Zhen-Wei Yu, Li Ding, Qiao Lin, Shi-Rong Zhang, Zhi-Wei Liu","doi":"10.1109/tsg.2024.3443062","DOIUrl":"https://doi.org/10.1109/tsg.2024.3443062","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"15 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141986220","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}
引用次数: 0
Distributed Secondary Optimal Control with Fast Voltage Recovery and Minimum Generation Cost for Islanded DC Microgrids 为孤岛直流微电网提供具有快速电压恢复和最小发电成本的分布式二次优化控制
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-14 DOI: 10.1109/tsg.2024.3443242
Qi Liu, Liping Zhang, Huanshui Zhang, Shouxiang Wang, Xingquan Ji
{"title":"Distributed Secondary Optimal Control with Fast Voltage Recovery and Minimum Generation Cost for Islanded DC Microgrids","authors":"Qi Liu, Liping Zhang, Huanshui Zhang, Shouxiang Wang, Xingquan Ji","doi":"10.1109/tsg.2024.3443242","DOIUrl":"https://doi.org/10.1109/tsg.2024.3443242","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"20 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141986285","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}
引用次数: 0
Resilient Frequency Regulation for DoS Attack Intensity Adaptation via Predictive Reinforcement V2G Control Learning 通过预测性强化 V2G 控制学习实现弹性频率调节以适应 DoS 攻击强度
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-13 DOI: 10.1109/tsg.2024.3442923
Jian Sun, Xin Wang, Guanqiu Qi, Huaqing Li, Huiwei Wang, Juan C. Vasquez, Josep M. Guerrero
{"title":"Resilient Frequency Regulation for DoS Attack Intensity Adaptation via Predictive Reinforcement V2G Control Learning","authors":"Jian Sun, Xin Wang, Guanqiu Qi, Huaqing Li, Huiwei Wang, Juan C. Vasquez, Josep M. Guerrero","doi":"10.1109/tsg.2024.3442923","DOIUrl":"https://doi.org/10.1109/tsg.2024.3442923","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"8 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980729","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}
引用次数: 0
Fog-Computing-Based Joint Flow Calculation Method of Coupled Power and Transportation Network 基于雾计算的电力与交通耦合网络联合流量计算方法
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-13 DOI: 10.1109/tsg.2024.3443192
Yueping Xiang, Kai Liao, Jianwei Yang, Zhengyou He
{"title":"Fog-Computing-Based Joint Flow Calculation Method of Coupled Power and Transportation Network","authors":"Yueping Xiang, Kai Liao, Jianwei Yang, Zhengyou He","doi":"10.1109/tsg.2024.3443192","DOIUrl":"https://doi.org/10.1109/tsg.2024.3443192","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"34 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980728","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}
引用次数: 0
Highway Service Area Multi-Timescale Optimization Scheduling Considering the Spatiotemporal Dynamic Evolution of Electric Vehicles 考虑电动汽车时空动态演变的高速公路服务区多时间尺度优化调度
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-13 DOI: 10.1109/tsg.2024.3442914
Fangjian Chen, Mingchao Xia, Qifang Chen, Yuguang Song, Yiming Xian, Sanmu Xiu, Su Su
{"title":"Highway Service Area Multi-Timescale Optimization Scheduling Considering the Spatiotemporal Dynamic Evolution of Electric Vehicles","authors":"Fangjian Chen, Mingchao Xia, Qifang Chen, Yuguang Song, Yiming Xian, Sanmu Xiu, Su Su","doi":"10.1109/tsg.2024.3442914","DOIUrl":"https://doi.org/10.1109/tsg.2024.3442914","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"39 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980727","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}
引用次数: 0
Bi-Level Resilient Control Solution for Distributed Feeder Automation System Under Hybrid Attack 混合攻击下分布式馈电自动化系统的双级弹性控制解决方案
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-07 DOI: 10.1109/tsg.2024.3439751
Rong Zeng, Yong Li, Sijia Hu, Jiayan Liu, Huidi Wu, Jie Chen, Yong Xu, Xusheng Yang, Yijia Cao
{"title":"Bi-Level Resilient Control Solution for Distributed Feeder Automation System Under Hybrid Attack","authors":"Rong Zeng, Yong Li, Sijia Hu, Jiayan Liu, Huidi Wu, Jie Chen, Yong Xu, Xusheng Yang, Yijia Cao","doi":"10.1109/tsg.2024.3439751","DOIUrl":"https://doi.org/10.1109/tsg.2024.3439751","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"41 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141904673","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}
引用次数: 0
Coordinated Operation Strategy of Virtual Power Plant Based on Two-Layer Game Approach 基于双层博弈方法的虚拟电厂协调运行策略
IF 9.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-07 DOI: 10.1109/tsg.2024.3440315
Jia-Kai Wu, Zhi-Wei Liu, Chaojie Li, Yong Zhao, Ming Chi
{"title":"Coordinated Operation Strategy of Virtual Power Plant Based on Two-Layer Game Approach","authors":"Jia-Kai Wu, Zhi-Wei Liu, Chaojie Li, Yong Zhao, Ming Chi","doi":"10.1109/tsg.2024.3440315","DOIUrl":"https://doi.org/10.1109/tsg.2024.3440315","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"130 1","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141904674","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}
引用次数: 0
P2P Trade With Prosumers’ Actual Approximate Utility Functions Within Near-Potential Games Framework 在近似潜在博弈框架内,利用消费者实际近似效用函数进行 P2P 交易
IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-06 DOI: 10.1109/TSG.2024.3439402
Seyed-Mohammad Razavi;Sina Arefizadeh;Sadegh Bolouki;Mahmoud-Reza Haghifam;Miadreza Shafie-Khah
There is a potential conflict between P2P trade and distribution network operator (DSO) decisions, which slows down the expansion of P2P trade. Expanding the P2P trade requires reducing this conflict and increasing DSO awareness of the actual behavior of prosumers. In other words, mitigating this conflict requires that DSO approximates prosumers’ utility functions (PUFs) based on their actual behavior. On the other hand, PUFs approximated based on the actual behavior of prosumers have various parameters such as freedom in decision-making, collective influence, privacy, and marginal cost/utility. This is a mathematical challenge for DSO because this class of PUFs may not be convex or continuously differentiable. Hence, in this paper, a near-potential game (NPG) framework is proposed to support the design of P2P trade with PUFs belonging to this class. Also, to develop a realistic model of P2P trade, we classify prosumers into residential and non-residential classes and assume that prosumers have limited information about each other’s decisions. Then within an NPG framework, we introduce a learning model, whereby each prosumer obtains an estimate of the prosumers’ decisions in P2P trade.
P2P 交易与配电网络运营商 (DSO) 的决策之间存在潜在冲突,从而减缓了 P2P 交易的扩展。要扩大 P2P 交易,就必须减少这种冲突,提高配电网运营商对消费者实际行为的认识。换句话说,要减少这种冲突,运营服务商就必须根据消费者的实际行为逼近他们的效用函数(PUF)。另一方面,根据消费者实际行为逼近的效用函数具有各种参数,如决策自由度、集体影响力、隐私和边际成本/效用。这对 DSO 来说是一个数学挑战,因为这类 PUF 可能不是凸的或连续可微的。因此,本文提出了一个近似潜在博弈(NPG)框架,以支持设计具有该类 PUF 的 P2P 交易。同时,为了建立一个切合实际的 P2P 贸易模型,我们将消费商分为住宅类和非住宅类,并假设消费商对彼此的决策信息有限。然后,在 NPG 框架内,我们引入了一个学习模型,即每个 prosumer 在 P2P 交易中获得对 prosumers 决策的估计。
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引用次数: 0
LLRA: A Lightweight Leakage-Resilient Authentication Key Exchange Scheme for Smart Meters LLRA: 适用于智能电表的轻量级防泄漏认证密钥交换方案
IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-05 DOI: 10.1109/TSG.2024.3435548
Ran Cheng;Yukun Yang;Zhengzhuo Zhang;Xiaoxin Sun;Xin Huang;Xiaohua Wu;Liangbin Zhao
The authentication between smart meters and Neighbourhood Area Communication Network (NAN) gateways is a critical issue due to various types of side channel attacks. To address this, a new protocol called Lightweight Leakage-Resilient Authentication Key Exchange (LLRA) was proposed for smart meters. LLRA incorporates continuous after-the-fact leakage-resilient property. Furthermore, extended BPR (CLR-eBPR) security model and extended GNY (CLR-eGNY) logic were introduced. Through provable security analysis, logic analysis, and practical performance evaluations, we demonstrated that LLRA effectively mitigates side-channel attacks while maintaining minimum authentication delay and energy consumption for the computing devices used in smart meters and NAN gateways. Compared to benchmark protocols, the authentication delay of LLRA was decreased by at least 14%; in addition, the energy consumption of LLRA was decreased by at least 7%.
由于存在各种类型的侧信道攻击,智能电表与邻区通信网络(NAN)网关之间的身份验证是一个关键问题。为了解决这个问题,我们为智能电表提出了一种名为 "轻量级防泄漏认证密钥交换(LLRA)"的新协议。LLRA 具有持续的事后抗泄漏特性。此外,还引入了扩展 BPR(CLR-eBPR)安全模型和扩展 GNY(CLR-eGNY)逻辑。通过可证明的安全性分析、逻辑分析和实际性能评估,我们证明了 LLRA 能有效地缓解侧信道攻击,同时保持最低的认证延迟和能耗,适用于智能电表和 NAN 网关中使用的计算设备。与基准协议相比,LLRA 的验证延迟至少降低了 14%;此外,LLRA 的能耗至少降低了 7%。
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引用次数: 0
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IEEE Transactions on Smart Grid
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