{"title":"Incipient Fault Detection of Medium-Voltage Distribution Cable Systems Using Time-Frequency Analysis of Grounding Wire Currents","authors":"Peng Zhang, Meng Hou, Rui Liang, Zehua Tang, Jian Li, Mohan Jin, Zhongyu Sun, Nan Peng","doi":"10.1109/tsg.2024.3444280","DOIUrl":"https://doi.org/10.1109/tsg.2024.3444280","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141986218","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 : 2024-08-14DOI: 10.1109/tsg.2024.3444276
Yue Pu, Haoming Liu, Jian Wang, Feng Liu
{"title":"Decentralized Coordinated Scheduling of Port Integrated Energy System and Bulk Terminal With Two-Tier Incentives","authors":"Yue Pu, Haoming Liu, Jian Wang, Feng Liu","doi":"10.1109/tsg.2024.3444276","DOIUrl":"https://doi.org/10.1109/tsg.2024.3444276","url":null,"abstract":"","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141986219","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 : 2024-08-14DOI: 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":null,"pages":null},"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}
Pub Date : 2024-08-14DOI: 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":null,"pages":null},"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}
Pub Date : 2024-08-13DOI: 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":null,"pages":null},"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}
Pub Date : 2024-08-13DOI: 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":null,"pages":null},"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}
Pub Date : 2024-08-13DOI: 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":null,"pages":null},"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}
Pub Date : 2024-08-07DOI: 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":null,"pages":null},"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}
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.
{"title":"P2P Trade With Prosumers’ Actual Approximate Utility Functions Within Near-Potential Games Framework","authors":"Seyed-Mohammad Razavi;Sina Arefizadeh;Sadegh Bolouki;Mahmoud-Reza Haghifam;Miadreza Shafie-Khah","doi":"10.1109/TSG.2024.3439402","DOIUrl":"10.1109/TSG.2024.3439402","url":null,"abstract":"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.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10623859","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899813","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}
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