IEEE Transactions on Smart Grid最新文献_第10页

Suppression of the Dynamic Interactions Between a VSG and Dynamic Loads Under Weak-Grid Conditions 弱电网条件下VSG与动荷载动态相互作用的抑制

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-16 DOI: 10.1109/TSG.2024.3518358

Mahmoud Awad Elshenawy;Amr Ahmed A. Radwan;Yasser A.-R. I. Mohamed;Ehab F. El-Saadany

{"title":"Suppression of the Dynamic Interactions Between a VSG and Dynamic Loads Under Weak-Grid Conditions","authors":"Mahmoud Awad Elshenawy;Amr Ahmed A. Radwan;Yasser A.-R. I. Mohamed;Ehab F. El-Saadany","doi":"10.1109/TSG.2024.3518358","DOIUrl":"10.1109/TSG.2024.3518358","url":null,"abstract":"The virtual synchronous generator (VSG) features more non-oscillatory stable performance under weak grid conditions than stiff grid conditions. However, as shown in this paper, a local industrial load with induction motors jeopardizes this fact and superimposes low-frequency oscillations on the outputs of the weak grid-connected VSG. Detailed small-signal models of a weak grid-connected VSG are developed and compared in the absence and presence of a local industrial load. This study shows that dynamic loads, e.g., induction motors, weaken the VSG damping and limit the stability ranges of the droop gains and virtual inertia constant, limiting the VSG’s features and grid-supporting capabilities. Therefore, an active compensator is proposed to regain the VSG’s damping and stability under weak grid conditions. With the proposed damping and stabilization compensator, the VSG dynamics and stability are highly improved under wide ranges of droop gains and virtual inertia. Multiple offline simulations and real-time tests are carried out to justify the existence of dynamic interactions between a VSG and an industrial load, considering diverse load compositions, and verify the proposed compensator’s effectiveness in enhancing the overall system performance and stability under practical conditions, such as load switching, faults, and grid angle disturbances.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1434-1447"},"PeriodicalIF":8.6,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142832444","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

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-16 DOI: 10.1109/TSG.2024.3518094

Shuai Lu;Jiayi Ding;Mingji Chen;Wei Gu;Junpeng Zhu;Yijun Xu;Zhaoyang Dong;Zezheng Sun

引用次数: 0

Robust Centralized Protection Scheme With AI-Based Fault Diagnosis Capabilities for Graph-Structured AC Microgrids

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-13 DOI: 10.1109/TSG.2024.3515050

Udit Prasad;Soumya R. Mohanty;S. P. Singh;Amar Jagan

{"title":"Robust Centralized Protection Scheme With AI-Based Fault Diagnosis Capabilities for Graph-Structured AC Microgrids","authors":"Udit Prasad;Soumya R. Mohanty;S. P. Singh;Amar Jagan","doi":"10.1109/TSG.2024.3515050","DOIUrl":"10.1109/TSG.2024.3515050","url":null,"abstract":"This paper presents graph neural networks (GNNs)-based fault diagnostic framework (GFDF) with cyber-attack detection capabilities for ac microgrids (MGs). GFDF employs GNNs on graphical representation of MGs, augmented with a multi-head attention mechanism, to accurately assimilate dynamics associated with fault events by learning node embeddings. This approach effectively assigns weights to the neighboring nodes based on their contributions, ensuring resilience to abnormal data and adaptability to changing operating conditions. GFDF uses current measurement of single end of each line and line parameters as graph node and link attributes, respectively. Additionally, this paper proposes a robust intelligence-based centralized protection scheme (ICPS), intended to address the failure of legacy protection infrastructure in MGs caused by various logical and physical reasons. It utilizes decisions made by GFDF with accelerated computation throughput using dedicated hardware (GPU-NVIDIA GeForce GTX 1650) to meet stringent protection time requirements. A comparative assessment of GFDF with the existing techniques, and the implementation of ICPS on medium voltage CIGRE MGs through hardware-in-the-loop (HIL) experimentation, leveraging real-time digital simulator (RTDS) setup, and commercial SEL relays to emulate realistic operational environments, validates the practicality of the work.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1975-1992"},"PeriodicalIF":8.6,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451679","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

Quantum Distributed Event-Triggered Frequency Control for AC Microgrids Under FDIAs FDIAs下交流微电网的量子分布式事件触发频率控制

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-11 DOI: 10.1109/TSG.2024.3513464

Jin Meng;Jianqiang Hu;Xinli Shi;Josep M. Guerrero;Jinde Cao

引用次数: 0

Controlling Air Conditioners for Frequency Regulation: A Real-World Example 控制空调频率调节：一个真实世界的例子

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-09 DOI: 10.1109/TSG.2024.3513296

Ioannis M. Granitsas;Oluwagbemileke E. Oyefeso;Gregory S. Ledva;Stephen A. Mock;Scott R. Hinson;Ian A. Hiskens;Johanna L. Mathieu

引用次数: 0

Power Distribution Network Topology Detection Using Dual-Graph Structure Graph Neural Network Model 基于双图结构图神经网络模型的配电网络拓扑检测

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-05 DOI: 10.1109/TSG.2024.3512456

Afshin Ebtia;Mohsen Ghafouri;Mourad Debbabi;Marthe Kassouf;Arash Mohammadi

{"title":"Power Distribution Network Topology Detection Using Dual-Graph Structure Graph Neural Network Model","authors":"Afshin Ebtia;Mohsen Ghafouri;Mourad Debbabi;Marthe Kassouf;Arash Mohammadi","doi":"10.1109/TSG.2024.3512456","DOIUrl":"10.1109/TSG.2024.3512456","url":null,"abstract":"Topology detection (TD) in the context of power distribution networks (PDNs) is a fundamental requirement for a wide range of applications, such as fault localization and load management. PDNs suffer from a lack of real-time topological information due to insufficient data on switch statuses and an increasing number of switching actions caused by reconfigurations and the control of distributed energy resources (DERs). On this basis, in this paper, a novel near real-time TD method for PDNs is proposed. This method is built on a specialized graph neural network (GNN) design using data from micro-phasor measurement units (<inline-formula> <tex-math>$mu $ </tex-math></inline-formula>PMUs), leveraging the strengths of both graph-based learning and conventional deep learning (DL) approaches. More specifically, the developed TD method implements a novel dual-graph structure GNN (DGS-GNN) model to transform the TD problem into an inductive link prediction task for a multi-graph dataset. During the training phase, a node attribute similarity graph is created, and the resulting node embeddings are aligned with the actual topology graph (ATG) using a structure-aware loss function. In the inference phase, however, unlike standard GNN models that require structural information as input, the ATG is recovered based solely on node attributes. The developed method enables TD using a limited number of phasor measurements with low inference time and superior generalization capability for unseen scenarios. Its strong performance in large-scale PDNs with varying configurations, as well as its robustness to uncertainties from DERs and noisy environments, is demonstrated on the IEEE 33- and 123-Bus benchmarks and a standard 240-Bus test system. The proposed method outperforms its DL-based counterparts in scenarios where full or partial system topology should be detected.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1833-1850"},"PeriodicalIF":8.6,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782557","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

A Joint Power and Renewable Energy Certificate Trading Method in the Peer-to-Peer Market 点对点市场中电力与可再生能源证书联合交易方法

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-04 DOI: 10.1109/TSG.2024.3493194

Tengfei Ma;Wei Pei;Hao Xiao;Yanhong Yang;Li Ma

{"title":"A Joint Power and Renewable Energy Certificate Trading Method in the Peer-to-Peer Market","authors":"Tengfei Ma;Wei Pei;Hao Xiao;Yanhong Yang;Li Ma","doi":"10.1109/TSG.2024.3493194","DOIUrl":"10.1109/TSG.2024.3493194","url":null,"abstract":"A novel peer-to-peer joint power & renewable energy certificate trading method is proposed to reflect the power & environment values of renewable power simultaneously, as well as promote the on-site utilization. Firstly, the P2P power trading and Renewable Energy Certificate (REC) trading market models are proposed respectively considering their coupling relationships. Secondly, the P2P joint power and REC trading market model is formulated as a centralized optimization problem from the perspective of social welfare maximization in the distribution network level. Thirdly, the centralized optimization model is decomposed into local optimization problems and a distributed interactive algorithm based on Alternating Direction Method of Multipliers is proposed to clear the joint power and REC market, as well as protect the privacy of each participant. Lastly, case studies are performed on the modified IEEE 15-node and 69-node distribution networks to demonstrate the effectiveness of the proposed method, in terms of improvement of social welfare, promotion of renewable power local consumption, and environmental value expression of renewable power.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1604-1618"},"PeriodicalIF":8.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776666","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 Planning of Transmission Network Expansion and Distribution Network Modernization With Microgrids Under Non-Uniform Discrete Choices 非均匀离散选择条件下微电网输配电网络扩建与现代化的协调规划

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-04 DOI: 10.1109/TSG.2024.3509528

Xutao Han;Zhiyi Li;Jiabei Ge;Yong Yan;Xuanyi Xiao

{"title":"Coordinated Planning of Transmission Network Expansion and Distribution Network Modernization With Microgrids Under Non-Uniform Discrete Choices","authors":"Xutao Han;Zhiyi Li;Jiabei Ge;Yong Yan;Xuanyi Xiao","doi":"10.1109/TSG.2024.3509528","DOIUrl":"10.1109/TSG.2024.3509528","url":null,"abstract":"The paper proposes a coordinated planning method to reduce redundant costs for distribution network modernization with microgrids considering the practical configuration of candidate capacities. We first use the values of binary decision variables to represent whether to choose corresponding practical candidate capacities, whereby the investment choices are definitely feasible in engineering. Then, a bi-level stochastic model that incorporates combinatorial uncertain scenarios in spatial-temporal-event dimensions is formulated. To address the intractable large-scale mixed integer lower-level models, we also provide a clustering method in iterations to project scenarios onto all possible binary decisions. The number of binary decision variables and scenario-related state variables in lower-level models is thus significantly reduced without losing accuracy at the same time. Further, we extend enhanced Benders decomposition to a hot start nested form to be compatible with both inner-loop mixed integer linear subproblems and outer-loop linear security assessment subproblems. Mathematically, the proposed method can rapidly converge to practical and optimal choices for candidate capacities within finite iterations. Finally, we validate the total cost savings from coordinated planning and the optimality, rapidity, and scalability of the proposed method on integrated IEEE systems.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1405-1421"},"PeriodicalIF":8.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776667","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

LPPMM-DA: Lightweight Privacy-Preserving Multi-Dimensional and Multi-Subset Data Aggregation for Smart Grid LPPMM-DA：面向智能电网的轻量级隐私保护多维多子集数据聚合

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-04 DOI: 10.1109/TSG.2024.3509675

Zuowen Tan;Faxin Cao;Xingzhi Liu;Jintao Jiao;Wenlei You;Judou Lin

{"title":"LPPMM-DA: Lightweight Privacy-Preserving Multi-Dimensional and Multi-Subset Data Aggregation for Smart Grid","authors":"Zuowen Tan;Faxin Cao;Xingzhi Liu;Jintao Jiao;Wenlei You;Judou Lin","doi":"10.1109/TSG.2024.3509675","DOIUrl":"10.1109/TSG.2024.3509675","url":null,"abstract":"The smart grid facilitates data centers in collecting real-time power consumption data from users, which is essential for effective power management. Such real-time data may inadvertently disclose the identities and activities of power users. Data aggregation has been identified as a viable solution to this challenge, enabling data centers to obtain only the aggregate power consumption data without accessing individual user information. However, most existing aggregation methodologies are limited to multi-dimensional data aggregation and fail to ensure user privacy, data integrity, and authentication. In this study, we propose a ring signature based multi-dimensional and multi-subset aggregation (LPPMM-DA) scheme. This proposed method allows the data center to compute both the total power consumption and the number of users within each subset across various dimensions. Based on the hardness assumption of the Elliptic Curve Discrete Logarithm Problem (ECDLP), the ring signature utilized in our scheme is demonstrably unforgeable against adaptive chosen message attacks within the random oracle model. A comprehensive analysis indicates that the proposed scheme meets the security requirements for data aggregation in the smart grid context. Furthermore, performance evaluations reveal that the implementation of this scheme results in lower computational and communication overhead compared to existing related approaches.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1801-1816"},"PeriodicalIF":8.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776797","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

Attack-Resilient Distributed Fixed-Time Consensus Control for HBESSs and Circuit Implementation 抗攻击分布式固定时间一致性控制与电路实现

IF 8.6 1区工程技术

IEEE Transactions on Smart Grid Pub Date : 2024-12-03 DOI: 10.1109/TSG.2024.3507197

Ruiqi Zhou;Xingxing Ju;Ben Niu;Yanli Zou

引用次数: 0