January 2023 – Smart Grid

Listed below are the papers and letters that have been published in the January 2023 issue of the IEEE Transactions on Smart Grid with links to their abstracts. The deadline for submitting discussions is 31 March 2023.

Papers

  • Y. Zhang, Q. Sun, J. Zhou, J. M. Guerrero, R. Wang and A. Lashab,
    “Optimal Frequency Control for Virtual Synchronous Generator Based AC Microgrids via Adaptive Dynamic Programming”
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  • J. A. May Alvarez, I. G. Zurbriggen, F. Paz and M. Ordonez,
    “Microgrids Multiobjective Design Optimization for Critical Loads”
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  • Z. Tu, W. Zhang and W. Liu,
    “Deep Reinforcement Learning-Based Optimal Control of DC Shipboard Power Systems for Pulsed Power Load Accommodation”
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  • S. Liao, Y. Chen, W. Wu, L. Wang and Q. Xu,
    “Closed-Loop Interconnected Model of Multi-Inverter-Paralleled System and its Application to Impact Assessment of Interactions on Damping Characteristics”
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  • W. Lambrichts and M. Paolone,
    “Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids Using Synchronized Measurements”
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  • X. Gong, X. Wang and G. Joos,
    “An Online Data-Driven Method for Microgrid Secondary Voltage and Frequency Control With Ensemble Koopman Modeling”
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  • Y. Peng, Z. Shuai, C. Shen, X. Hou and Z. J. Shen,
    “Transient Stabilization Control of Electric Synchronous Machine for Preventing the Collapse of DC-Link Voltage”
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  • H. Tu, Y. Du, H. Yu, S. Meena, X. Lu and S. Lukic,
    “Distributed Economic Dispatch for Microgrids Tracking Ramp Power Commands”
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  • L. Zhang, C. Wang, J. Liang, M. Wu, B. Zhang and W. Tang,
    “A Coordinated Restoration Method of Hybrid AC/DC Distribution Network for Resilience Enhancement”
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  • E. Olea-Oregi, P. Eguía-López, A. Sanchez-Ruiz and I. Loureiro-González,
    “Industrial Overview of Back-to-Back VSC Power Links in MV Distribution Networks”
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  • M. Shi, H. Wang, P. Xie, C. Lyu, L. Jian and Y. Jia,
    “Distributed Energy Scheduling for Integrated Energy System Clusters With Peer-to-Peer Energy Transaction”
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  • A. Ghadertootoonchi, M. Moeini-Aghtaie and M. Davoudi,
    “A Hybrid Linear Programming-Reinforcement Learning Method for Optimal Energy Hub Management”
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  • X. Yin, C. Ye, Y. Ding and Y. Song,
    “Exploiting Internet Data Centers as Energy Prosumers in Integrated Electricity-Heat System”
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  • R. Tao, D. Zhao, C. Xu, H. Wang and X. Xia,
    “Resilience Enhancement of Integrated Electricity-Gas-Heat Urban Energy System With Data Centres Considering Waste Heat Reuse”
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  • L. Yu, Z. Xu, X. Guan, Q. Zhao, C. Dou and D. Yue,
    “Joint Optimization and Learning Approach for Smart Operation of Hydrogen-Based Building Energy Systems”
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  • R. S. Tulabing, B. C. Mitchell, G. A. Covic and J. T. Boys,
    “Localized Demand Control of Flexible Devices for Peak Load Management”
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  • H. B. Akyol, C. Preist and D. Schien,
    “Avoiding Overconfidence in Predictions of Residential Energy Demand Through Identification of the Persistence Forecast Effect”
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  • A. A. Amer, K. Shaban and A. M. Massoud,
    “DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives”
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  • Z. Rostamnezhad, N. Mary, L. -A. Dessaint and D. Monfet,
    “Electricity Consumption Optimization Using Thermal and Battery Energy Storage Systems in Buildings”
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  • K. Li, Y. Wang, N. Zhang and F. Wang,
    “Precision and Accuracy Co-Optimization-Based Demand Response Baseline Load Estimation Using Bidirectional Data”
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  • P. Zhang, P. Yang, Z. Zhao, C. S. Lai, L. L. Lai and M. Shahidehpour,
    “A Framework for Several Electricity Retailers Cooperatively Implement Demand Response to Distributed Data Center”
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  • Z. Zheng, S. Wang, W. Li and X. Luo,
    “A Consensus-Based Distributed Temperature Priority Control of Air Conditioner Clusters for Voltage Regulation in Distribution Networks”
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  • X. Zheng et al.,
    “High-Frequency Fault Analysis-Based Pilot Protection Scheme for a Distribution Network With High Photovoltaic Penetration”
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  • S. Fattaheian-Dehkordi, A. Abbaspour, M. Fotuhi-Firuzabad and M. Lehtonen,
    “A Distributed Framework for Intense Ramping Management in Distribution Networks”
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  • J. Shi, Z. Ye, H. O. Gao and N. Yu,
    “Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings”
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  • S. Brahma, A. Khurram, H. Ossareh and M. Almassalkhi,
    “Optimal Frequency Regulation Using Packetized Energy Management”
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  • J. Wu, J. Yuan, Y. Weng and R. Ayyanar,
    “Spatial-Temporal Deep Learning for Hosting Capacity Analysis in Distribution Grids”
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  • Z. -P. Yuan, P. Li, Z. -L. Li and J. Xia,
    “Data-Driven Risk-Adjusted Robust Energy Management for Microgrids Integrating Demand Response Aggregator and Renewable Energies”
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  • J. Li, W. Zou, Q. Yang, Z. Wei and H. He,
    “A Dynamic Heat/Power Decoupling Strategy for the Fuel Cell CHP in the Community Energy System: A Real Case Study in South of China”
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  • R. Bekhradian, M. Sanaye-Pasand and M. Davarpanah,
    “Innovative Load Shedding Scheme to Restore Synchronous Generator-Based Microgrids During FIDVR”
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  • D. A. Quijano, M. Vahid-Ghavidel, M. S. Javadi, A. Padilha-Feltrin and J. P. S. Catalão,
    “A Price-Based Strategy to Coordinate Electric Springs for Demand Side Management in Microgrids”
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  • B. Yang, K. Jia, Q. Liu, L. Zheng and T. Bi,
    “Faulted Line-Section Location in Distribution System With Inverter-Interfaced DGs Using Sparse Meters”
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  • W. Chen, J. Qiu, J. Zhao, Q. Chai and Z. Y. Dong,
    “Customized Rebate Pricing Mechanism for Virtual Power Plants Using a Hierarchical Game and Reinforcement Learning Approach”
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  • G. Tanoni, E. Principi and S. Squartini,
    “Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring”
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  • R. Das and J. N. Bera,
    “Quality of Service Improvement in Neighborhood Area Networking for AMI With ZigBee-Based Tunable Clustered Scale-Free Topology and RPL Routing”
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  • Y. Weng, S. Luo, Q. Cui, R. Trask and H. Wang,
    “Evaluate DC Meter Adoption for House-Level Storage Devices”
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  • H. Wang, Y. Jia, M. Shi, P. Xie, C. S. Lai and K. Li,
    “A Hybrid Incentive Program for Managing Electric Vehicle Charging Flexibility”
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  • X. Duan, Z. Hu, Y. Song, Y. Cui and Y. Wen,
    “Bidding and Charging Scheduling Optimization for the Urban Electric Bus Operator”
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  • C. Lu, J. Wu, J. Cui, Y. Xu, C. Wu and M. C. Gonzalez,
    “Deadline Differentiated Dynamic EV Charging Price Menu Design”
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  • Y. Jiang, T. H. Ortmeyer, M. Fan and X. Ai,
    “Data-Driven Low-Rank Tensor Approximation for Fast Grid Integration of Commercial EV Charging Stations Considering Demand Uncertainties”
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  • S. Lai, J. Qiu, Y. Tao and J. Zhao,
    “Pricing for Electric Vehicle Charging Stations Based on the Responsiveness of Demand”
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  • D. -J. Kim, B. Kim, C. Yoon, N. -D. Nguyen and Y. I. Lee,
    “Disturbance Observer-Based Model Predictive Voltage Control for Electric-Vehicle Charging Station in Distribution Networks”
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  • Y. Liang, Z. Ding, T. Zhao and W. -J. Lee,
    “Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning”
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  • C. Zhang, R. Li, Z. Zhang, C. Li, Y. Bian and F. Li,
    “Imbalance Reduction of P2P Energy Market by Closed-Loop Clustering and Forecasting”
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  • M. Houwing, I. Dukovska and N. G. Paterakis,
    “A Reputation Management System for the Fair Utilization of Community Energy Storage Systems”
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  • Z. Zhao, C. Feng and A. L. Liu,
    “Comparisons of Auction Designs Through Multiagent Learning in Peer-to-Peer Energy Trading”
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  • Y. Xia, Q. Xu, Y. Huang, Y. Liu and F. Li,
    “Preserving Privacy in Nested Peer-to-Peer Energy Trading in Networked Microgrids Considering Incomplete Rationality”
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  • X. Chang, Y. Xu, Q. Guo, H. Sun and W. K. Chan,
    “A Byzantine-Resilient Distributed Peer-to-Peer Energy Management Approach”
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  • J. Hou, J. Wang, Y. Song, W. Sun and Y. Hou,
    “Small-Signal Angle Stability-Oriented False Data Injection Cyber-Attacks on Power Systems”
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  • N. Costilla-Enriquez and Y. Weng,
    “Attack Power System State Estimation by Implicitly Learning the Underlying Models”
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  • A. Takiddin, M. Ismail and E. Serpedin,
    “Robust Data-Driven Detection of Electricity Theft Adversarial Evasion Attacks in Smart Grids”
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  • Z. Yang, S. Zhang, C. -W. Ten, T. Liu, X. Pang and H. Sun,
    “Implementation of Risk-Aggregated Substation Testbed Using Generative Adversarial Networks”
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  • S. Hu, X. Ge, X. Chen and D. Yue,
    “Resilient Load Frequency Control of Islanded AC Microgrids Under Concurrent False Data Injection and Denial-of-Service Attacks”
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  • W. Chen, L. Liu and G. -P. Liu,
    “Privacy-Preserving Distributed Economic Dispatch of Microgrids: A Dynamic Quantization-Based Consensus Scheme With Homomorphic Encryption”
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  • M. Liu, C. Zhao, J. Xia, R. Deng, P. Cheng and J. Chen,
    “PDDL: Proactive Distributed Detection and Localization Against Stealthy Deception Attacks in DC Microgrids”
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  • R. Atat, M. Ismail and E. Serpedin,
    “Limiting the Failure Impact of Interdependent Power-Communication Networks via Optimal Partitioning”
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  • S. Xie, M. H. Nazari, F. Nezampasandarbabi and L. Y. Wang,
    “Leveraging Deep Learning to Improve Performance of Distributed Optimal Frequency Control Under Communication Failures”
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  • L. Botman et al.,
    “A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households”
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  • P. A. Schirmer and I. Mporas,
    “Non-Intrusive Load Monitoring: A Review”
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  • X. Xie et al.,
    “A Novel Peer-to-Peer Control Strategy for Multiterminal DC Distribution Systems”
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  • J. -F. Toubeau, F. Teng, T. Morstyn, L. V. Krannichfeldt and Y. Wang,
    “Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities”
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  • M. van der Kam and R. Bekkers,
    “Mobility in the Smart Grid: Roaming Protocols for EV Charging”
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  • Q. Ding, H. Shi and J. Luo,
    “Adaptive Secure Transmission Based on Collaborative Communication in Smart Grids”
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