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Table of contents IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-12-21
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Smart Grid publication information IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-12-18
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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TechRxiv: Share Your Preprint Research with the World IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-12-21
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Power Engineering Society information for authors IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-12-21
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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Blank page IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-12-18
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Table of contents IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-10-20
Presents the table of contents for this issue of the publication.
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IEEE Transactions on Smart Grid publication information IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-10-20
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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A Lyapunov Optimization-Based Energy Management Strategy for Energy Hub With Energy Router IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-03 Penghua Li; Wanxing Sheng; Qing Duan; Zhen Li; Cunhao Zhu; Xinyu Zhang
The energy crisis and increasing concerns about the environment in modern society have fostered the development of the integrated energy system (IES) in smart grid. The energy hub (EH) is a minimum construction of the IES. The chief purpose of this paper is to propose a Lyapunov optimization-based energy management strategy for the energy hub with an energy router. First, this paper describes a configuration
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TechRxiv: Share Your Preprint Research with the World IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-10-20
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Power Engineering Society information for authors IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-10-21
These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
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Blank page IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-10-20
This page or pages intentionally left blank.
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Wide-Band Current Transformers for Traveling-Waves-Based Protection Applications IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-21 Amir Ameli; Khaled A. Saleh; Ehab F. El-Saadany; Magdy M. A. Salama; Hatem H. Zeineldin
Owing to its system independence and unmatched speed, Traveling-wave (TW)-based relaying has become a top contender for transmission and distribution systems. However, existing measurement devices, such as Current Transformers (CTs), are incapable of capturing the full frequency content of TWs, as their bandwidths are limited. Consequently, existing TW-based schemes rely on distorted waveforms and
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Nonlinear Multiple Models Adaptive Secondary Voltage Control of Microgrids IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-10 Zixiao Ma; Zhaoyu Wang; Yifei Guo; Yuxuan Yuan; Hao Chen
This article proposes a model-free secondary voltage control (SVC) for microgrids (MG) using nonlinear multiple models adaptive control. Firstly, a linear robust adaptive controller is designed to guarantee the voltage stability in the bounded-input-bounded-output (BIBO) manner so as to meet the operation requirements of MGs. Secondly, a nonlinear adaptive controller is developed to improve the voltage
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Community Energy Cooperation With the Presence of Cheating Behaviors IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-08 Shichang Cui; Yan-Wu Wang; Yang Shi; Jiang-Wen Xiao
This article investigates the energy cooperation between photovoltaic prosumers and community energy storage (CES) to improve community energy efficiency. The optimal energy sharing profiles between prosumers and CES are firstly derived by solving the energy optimization problem minimizing social energy cost. To guarantee the incentives for prosumers and CES to participate in the energy cooperation
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A Robust State Estimation Method Based on SOCP for Integrated Electricity-Heat System IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-08 Yanbo Chen; Yuan Yao; Ying Zhang
With the application and development of combined heat and power (CHP) techniques, the coupling of electrical and heat energy is gradually increasing. State estimation (SE) is essential to achieve the comprehensive and accurate operating status in an integrated electricity-heat system (IEHS). This article proposes a robust SE method based on second-order conic programming (SOCP) for IEHS. Firstly, auxiliary
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Joint Optimization of Wind Turbine Micrositing and Cabling in an Offshore Wind Farm IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-08 Siyu Tao; Qingshan Xu; Andrés Feijóo; Gang Zheng
Wind farms (WFs) are important components of smart grid. The modeling and optimal planning of the WF is preliminary before its construction. In this article, a bi-level multi-objective optimization framework is presented, with the aim of simultaneously designing the configuration of wind turbines (WTs) as well as the topology of electrical collector system in an offshore WF. The installation capacity
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A Blockchain-Enabled Multi-Settlement Quasi-Ideal Peer-to-Peer Trading Framework IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-08 Mohamed Kareem AlAshery; Zhehan Yi; Di Shi; Xiao Lu; Chunlei Xu; Zhiwei Wang; Wei Qiao
The concept of peer-to-peer (P2P) trading, or transactive energy (TE), is gaining momentum as a future grid restructure. It has the potentials to utilize distributed energy resources (DERs), proactive demand side management (DSM), and the infusion in information and communication technologies (e.g., blockchain and Internet of Things (IoT)) for promoting the technical and economic efficiency of the
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Coordinated Control of Air-Conditioning Loads for System Frequency Regulation IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-07 Tingyu Jiang; Ping Ju; Chong Wang; Hongyu Li; Jingzi Liu
The increasing penetration of renewable generation presents challenges for system frequency regulation due to short-term power fluctuations and system inertia reductions. This article presents a coordinated control strategy for frequency regulation in which inverter air-conditioning (IAC) units are used to perform primary frequency regulation (PFR) and fixed frequency air-conditioning (FFAC) units
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Dynamic Event-Based Model Predictive Load Frequency Control for Power Systems Under Cyber Attacks IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-07 Yuezhi Liu; Yong Chen; Meng Li
This article is concerned with the load frequency control (LFC) for the multi-area power system (MAPS) in the presence of cyber-attacks and disturbances. A resilient model predictive control (RMPC) strategy combined with the mixed $H_{2} /H_{\infty } $ performance index and dynamic event-triggered mechanism (DETM) is developed by using the cone complementarity linearization algorithm and the linear
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Chance-Constrained Optimal Power Flow of Integrated Transmission and Distribution Networks With Limited Information Interaction IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-04 Kunjie Tang; Shufeng Dong; Xiang Ma; Leiyan Lv; Yonghua Song
Considering the separate management of transmission networks (TNs) and distribution networks (DNs), this article proposes a chance-constrained optimal power flow (CCOPF) formulation for integrated transmission and distribution (I-T&D) networks and its solution algorithm with limited information interaction. The uncertainties of loads and renewable generations are considered in the formulation, which
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Enhanced Wind Generation Forecast Using Robust Ensemble Learning IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-03 Heng-Yi Su; Chun-Rong Huang
This letter proposes a robust ensemble learning scheme to enhance short-term prediction of wind power generation. The ensemble problem associated with pruning and combination is formulated as a worst-case robust approximation problem, taking forecast uncertainty in individual predictors into consideration. This problem is then transformed into the scaled form of the augmented Lagrangian and is solved
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Online Rolling Evolutionary Decoder-Dispatch Framework for the Secondary Frequency Regulation of Time-Varying Electrical-Grid-Electric-Vehicle System IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-01 Chaoyu Dong; Ronghe Chu; Thomas Morstyn; Malcolm D. McCulloch; Hongjie Jia
The widespread integration of electric vehicles (EVs) into the electrical grid creates a new opportunity for frequency regulation. In this article, to deal with the penetration of intermittent renewable energy and the time variance of system model, an online evolutionary mechanism is developed for the electrical-grid- electric-vehicle system. With a real-time decoder consisting of the long-short-term
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Real-Time Area Angle Monitoring Using Synchrophasors: A Practical Framework and Utility Deployment IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-09-01 Wenyun Ju; Ian Dobson; Kenneth Martin; Kai Sun; Neeraj Nayak; Iknoor Singh; Horacio Silva-Saravia; Anthony Faris; Lin Zhang; Yajun Wang
This article develops a practical framework of Area Angle Monitoring (AAM) to monitor in real time the stress of bulk power transfer across an area of a power transmission system. Area angle is calculated from synchrophasor measurements in real time to provide alert to system operators if the area angle exceeds pre-defined thresholds. This article proposes a general method to identify the warning threshold
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A Cascaded Distributed Control Framework in DC Microgrids IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-31 Jianyu Zhou; Mengxuan Shi; Xia Chen; Yin Chen; Jinyu Wen; Haibo He
The conventional distributed secondary controller, consisting of a voltage controller and a power controller, is based on the parallel framework by exchanging two state variables and requires a voltage observer to regulate the voltage. In this article, a cascaded control framework is proposed to achieve the voltage regulation and power sharing, in which only the power state variable is exchanged without
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Game Theoretic-Based Distributed Charging Strategy for PEVs in a Smart Charging Station IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-31 Yanni Wan; Jiahu Qin; Fangyuan Li; Xinghuo Yu; Yu Kang
This article investigates the charging problem of plug-in electric vehicles (PEVs) in a smart charging station (SCS) under a new interaction mechanism that allows the interactions among PEVs. The target is to coordinate the charging strategies of all PEVs such that the energy cost of SCS is minimized without compromising a set of constraints for PEVs and SCS. To this end, we first construct a non-cooperative
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Integrated Planning of a Solar/Storage Collective IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-31 Jesus E. Contreras-Ocaña; Arshpreet Singh; Yvon Bésanger; Frédéric Wurtz
French regulation allows consumers in low-voltage networks to form collectives to produce, share, and consume local energy under the collective self-consumption framework . A natural consequence of collectively-owned generation projects is the need to allocate production among consumers. In long-term plans, production allocation determines each of the consumers’ benefits of joining the collective.
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Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-28 Runfan Zhang; Branislav Hredzak
Real-time distributed clustering algorithm for aggregation of distributed energy storage systems into heterogeneous virtual power plants is proposed. Two types of virtual power plants are formed: one for provisioning the bulk (low-frequency) power demand and one for provisioning the high-frequency power demand. The proposed distributed clustering algorithm determines the virtual power plants’ memberships
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Plug-in Electric Vehicle Charging With Multiple Charging Options: A Systematic Analysis of Service Providers’ Pricing Strategies IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-28 Yanru Zhang; Yingjie Zhou; Changkun Jiang; Yan Wang; Ruichang Zhang; George Chen
In this article, we present the optimal strategy for public plug-in electric vehicle (PEV) charging services with multiple charging options: fast charging service and slow charging service. The PEV user make decisions by firstly considering the remaining energy, travel distance to charging station, then about the charging prices, charging rates and estimated charging time. To obtain insights of such
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Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-26 Zhenwei Guo; Pierre Pinson; Shibo Chen; Qinmin Yang; Zaiyue Yang
Due to the fast development of distributed energy resources and demand-side response management, agents in electricity markets are becoming more proactive, which boosts the development of peer-to-peer (P2P) market mechanisms. However, to our knowledge, none of the existing works considers clearing both energy and reserve via a P2P market mechanism in order to compensate for the uncertainty originating
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Optimal Power Flow Design for Enhancing Dynamic Performance: Potentials of Reactive Power IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-26 Masaki Inoue; Tomonori Sadamoto; Mitsuru Arahata; Aranya Chakrabortty
We present a new optimal power flow (OPF) design that not only optimizes fuel cost but also enhances dynamic performance of a power system. Performance is quantified by the $H_2$ -norm of the transfer matrix from any disturbance input to a set of performance outputs, which in this case are chosen as the frequencies of the generators. The $H_2$ -norm models the attenuation of the frequency amplitudes
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Erratum to “Vulnerability Identification and Evaluation of Interdependent Natural Gas-Electricity Systems” IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Lu Nan; Lei Wu; Tianqi Liu; Yikui Liu; Chuan He
In [1] , there was an error in equation (37) . It should be as follows:
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Predicting Weather-Related Failure Risk in Distribution Systems Using Bayesian Neural Network IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-25 Ying Du; Yadong Liu; Xuhong Wang; Jian Fang; Gehao Sheng; Xiuchen Jiang
The reliability of distribution systems is often challenged under unfavorable weather conditions, where weather-related failures occur with high probability. Predicting the number of weather-related failures in distribution systems can provide guiding information for operation and maintenance decisions, improving the risk management capability of utility companies. This article proposes a novel Bayesian
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Accurate Modeling of a Profit-Driven Power to Hydrogen and Methane Plant Toward Strategic Bidding Within Multi-Type Markets IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-24 Guangsheng Pan; Wei Gu; Yuping Lu; Haifeng Qiu; Shuai Lu; Shuai Yao
A power to hydrogen and methane (P2HM) plant can couple three different energy sectors including electricity, natural gas, and hydrogen, showing great potentials in supporting the penetration of renewable energy sources. This article develops a bi-level strategic bidding model of a profit-driven P2HM plant from both market and technology perspectives. In the upper-level model, the P2HM plant submits
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Distributed Coordinated Reactive Power Control for Voltage Regulation in Distribution Networks IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Zhiyuan Tang; David J. Hill; Tao Liu
In this article, a novel distributed coordinated control framework is proposed to handle the uncertain voltage violations in active distribution networks. It addresses the problem of coordination of different types of devices in a distributed manner. In our control design, on-load tap changers (OLTCs) are firstly employed to handle the potential voltage violations based on the prediction of renewable
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Price-Based Dynamic Optimal Power Flow With Emergency Repair IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Magdiel Schmitz; Daniel Pinheiro Bernardon; Vinícius Jacques Garcia; William Ismael Schmitz; Martin Wolter; Luciano Lopes Pfitscher
In a scenario involving damaged lines or equipment, healthy regions of a network with distributed energy resources can operate through islanded microgrids. With this, the hourly demand constraint is flexible and the dynamic optimal power flow (DOPF) follows a price signal, making use of inter-temporal technologies to maximize the power utility’s profit; this is known as price-based DOPF (PB-DOPF).
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Distributed Multi-Area State Estimation for Power Systems With Switching Communication Graphs IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Jiexiang Wang; Tao Li
We consider distributed multi-area state estimation algorithms for power systems with switching communication graphs. The power system is partitioned into multiple geographically non-overlapping areas and each area is assigned with an estimator to give a local estimate of the entire power system’s state. The inter-area communication networks are assumed to switch among a finite set of digraphs. Each
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A Novel Communication-Less Approach to Economic Dispatch for Microgrids IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Cheng Lyu; Youwei Jia; Zhao Xu
This letter proposes a fully decentralized approach to economic dispatch in microgrids with a novel communication-less strategy. It is aimed to overcome the limitations on strong dependency of center node and nodal communication in the conventional approaches. Comparative case studies based on a 14-bus microgrid demonstrate that the proposed approach can achieve a global consensus in a mesh network
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New Analytical Model of Microgrid Frequency and Voltage Variations Due to Network Reconfiguration IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 Jae-Young Park; Young-Jin Kim; Xiaonan Lu
This letter develops a new analytical model to estimate real-time variations in frequency and voltage in a microgrid (MG), resulting from network reconfiguration (NR). Switching operations are reflected in discrete variations in an MG admittance matrix, leading to step changes in dq -axis node injection currents. The injected current variations can readily be integrated with dynamic operations of distributed
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Robust Load Frequency Control of Power Systems Against Random Time-Delay Attacks IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-21 K. S. Xiahou; Y. Liu; Q. H. Wu
This letter presents a perturbation estimation based robust load frequency control (LFC) scheme for power system subject to random time-delay attack. Perturbation term is defined to describe the measurement deviation caused by random time-delay attack. Besides, perturbation observer is designed to estimate the system perturbation. The load frequency controller is compensated based on the perturbation
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Aggregation of Demand-Side Flexibility in Electricity Markets: Negative Impact Analysis and Mitigation Method IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-20 Su Wang; Xiaoqi Tan; Tian Liu; Danny H. K. Tsang
Aggregation of demand-side flexibility plays a crucial role in helping improve the system-wide performance of power grids. However, little considered is the potential negative impact of self-interested flexibility aggregators, who are being strategic for their own benefit at the cost of other market participants or even system-wide performance. This article aims to theoretically analyze this negative
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Distributed Observer-Based Finite-Time Control of AC Microgrid Under Attack IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-19 Rentao Lu; Jie Wang; Ziqiang Wang
In this article, a novel distributed observer-based finite-time control scheme is proposed to improve the resilience of islanded AC microgrids under attack. Existing research on microgrids under attack mainly focuses on detection technology and attenuation technology, but rarely considers the key indicator of convergence speed. The proposed control strategy can accelerate the convergence process of
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Optimal DG Allocation and Volt–Var Dispatch for a Droop-Based Microgrid IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-19 Yusuf Gupta; Suryanarayana Doolla; Kishore Chatterjee; Bikash Chandra Pal
Unequal reactive power sharing amongst distributed generators (DG) is a significant concern while operating a droop based microgrid. The reasons for this unequal reactive power sharing include the difference in feeder impedances, uneven distribution of loads and DGs in terms of size and locations. In this article, a mixed-integer linear programming (MILP) problem applicable for a droop based microgrid
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Optimal Schedule for Networked Microgrids Under Deregulated Power Market Environment Using Model Predictive Control IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-19 Felix Garcia-Torres; Carlos Bordons; Javier Tobajas; Juan José Márquez; Joaquin Garrido-Zafra; Antonio Moreno-Muñoz
Microgrids are considered as a key technology for the introduction of renewable energy systems in the electrical market. Nevertheless, microgrids are subject to random conditions such as changes in the energy forecast or component failures which will force microgrids to incur in the penalty costs applied in real time markets. In order to minimize the aforementioned costs, an optimal Energy Management
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Develop Load Shape Dictionary Through Efficient Clustering Based on Elastic Dissimilarity Measure IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-19 Huishi Liang; Jin Ma
Load shape dictionary (LSD) is a useful tool for utilizing the enormous amount of smart meter data to understand customers’ electricity consumption behaviors. To tackle the big data challenge as well as to better capture the load shape features, this article develops a bilevel LSD generation framework to cluster and index the residential load profiles into a neat local LSD and a global LSD based on
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Networked Microgrids for Grid Resilience, Robustness, and Efficiency: A Review IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-18 Bo Chen; Jianhui Wang; Xiaonan Lu; Chen Chen; Shijia Zhao
Networked microgrids (NMGs) are clusters of microgrids that are physically connected and functionally interoperable. The massive and unprecedented deployment of smart grid technologies, new business models, and involvement of new stakeholders enable NMGs to be a conceptual operation paradigm for future distribution systems. Much work needs to be done, however, to enable NMGs to achieve seamless coordination
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A Detection Mechanism Against Load-Redistribution Attacks in Smart Grids IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-18 Ramin Kaviani; Kory W. Hedman
This article presents a real-time non-probabilistic approach to detect load-redistribution (LR) attacks, which attempt to cause an overflow, in smart grids. Prior studies have shown that certain LR attacks can bypass traditional bad data detectors and remain undetectable, which implies that the presence of a reliable and intelligent detection mechanism is imperative. Therefore, in this study a detection
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Multi-Stage Voltage Support Optimization for Microgrids With Multiple Distributed Generation Units IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-14 Xubin Liu; Xinyu Chen; Canbing Li; Mohammad Shahidehpour; Kai Sun; Yijia Cao; Chen Chen; Bin Zhou
With the proliferation of microgrids (MGs) into the utility grid (UG), MGs with multiple distributed generations (DGs) face challenge to flexibly support voltage during UG faults. In this paper, a multi-stage voltage support optimization method is proposed to stabilize voltage, current and power, for safeguarding the MG operation and providing flexible power delivery capacity. The proposed method consists
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Hierarchical Bipartite Graph Matching Method for Transactive V2V Power Exchange in Distribution Power System IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-13 Long Zeng; Canbing Li; Zuyi Li; Mohammad Shahidehpour; Bin Zhou; Quan Zhou
In this paper, a hierarchical bipartite graph (HBG) matching method is proposed to promote transactive vehicle-to-vehicle (V2V) power exchanges in a distribution power system. A distribution system which includes EVs is divided into a series of subsystems according to EV locations, where V2V power exchanges are optimized for scheduling charging/discharging periods among transacting EVs in each subsystem
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Dynamic Modeling of Battery Energy Storage and Applications in Transmission Systems IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-13 Fabian Calero; Claudio A. Cañizares; Kankar Bhattacharya
In this paper, a Battery Energy Storage System (BESS) dynamic model is presented, which considers average models of both Voltage Source Converter (VSC) and bidirectional buck-boost converter (dc-to-dc), for charging and discharging modes of operation. The dynamic BESS model comprises a simplified representation of the battery cells, which allows to simulate the effects of battery degradation, dc-to-dc
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Component-Level Reliability Evaluation Model for Cyber Power Devices IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-13 Thanatheepan Balachandran; Arun-Kaarthick Manoharan; Visvakumar Aravinthan; Chanan Singh
Reliability evaluation of power components in the presence of automation devices and cyber links is critical for the improved performance of a smart grid. This work presents a model representing a cyber power component for reliability studies, incorporating interdependency and common-cause failure while reducing computational complexity. Power-component failure, automation-component failure, communication
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Efficient Assignment of Electric Vehicles to Charging Stations IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-13 Fadi Elghitani; Ehab F. El-Saadany
In a large-scale integration of electric vehicles (EVs) to the transportation sector, it becomes more challenging to provide an acceptable level of service to EV users who already suffer from EV’s short range and long charging time. Because of the latter, charging facilities can be easily overloaded, leading to intolerable service delays. Achieving an acceptable level of service will require an extensive
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Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-10 Xiaochuan Liu; Cheong Boon Soh; Tianyang Zhao; Peng Wang
Mobile energy storage systems (MESSs) is a promising solution to enhancing the operational flexibility of coupled distribution and transportation networks (CDTNs), as well as the conversion capacities of hybrid AC/DC microgrids (MGs). To achieve the coordination among MESSs, hybrid AC/DC microgrids and CDTNs, while considering the system uncertainties from variable renewable energy (VRE) sources and
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Buffered-Microgrid Structure for Future Power Networks; a Seamless Microgrid Control IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-10 Nachat Nasser; Meghdad Fazeli
This paper proposes a new structure and control scheme for future microgrid-based power system, which is designed to achieve a seamless operation in both islanded and grid-connected modes, while the load is appropriately shared by all units (i.e., renewable sources, energy storage systems and the grid). The proposed method, which involves physical separation of the microgrid from the grid by using
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Aggregated Model of Data Network for the Provision of Demand Response in Generation and Transmission Expansion Planning IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-10 Min Chen; Ciwei Gao; Zuyi Li; Mohammad Shahidehpour; Quan Zhou; Songsong Chen; Jianlin Yang
A two-stage Internet data center (IDC)-considered framework in generation and transmission expansion planning (GTEP) (referred to as IGTEP) is proposed to make full use of IDCs’ spatial and chronological load regulation potentials for demand response. Stage one aggregates the data network (DN) to match a transmission network structure. First, IDC load is modeled based on the DN configuration. Second
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Scaling Up Cooperative Game Theory-Based Energy Management Using Prosumer Clustering IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-07 Liyang Han; Thomas Morstyn; Malcolm D. McCulloch
Game theory based energy sharing schemes emerged in recent years to incentivize efficient management of the increasing amount of distributed energy resources. Among these, cooperative game theoretic schemes provide detailed financial incentives on the individual prosumer level. The nucleolus, a mechanism to allocate these financial incentives, has been proven to guarantee the prosumers’ willingness
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A Novel Closed-Loop Clustering Algorithm for Hierarchical Load Forecasting IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-07 Chi Zhang; Ran Li
Hierarchical load forecasting (HLF) is an approach to generate forecasts for hierarchical load time series. The performance of HLF can be improved by optimizing the forecasting model and the hierarchical structure . Previous studies mostly focus on the forecasting model while the hierarchical structure is usually formed by clustering of natural attributes like geography, customer type, or the similarities
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An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-06 Xiangyu Zhang; Dave Biagioni; Mengmeng Cai; Peter Graf; Saifur Rahman
Buildings, as major energy consumers, can provide great untapped demand response (DR) resources for grid services. However, their participation remains low in real-life. One major impediment for popularizing DR in buildings is the lack of cost-effective automation systems that can be widely adopted. Existing optimization-based smart building control algorithms suffer from high costs on both building-specific
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Missing Data Recovery in Large Power Systems Using Network Embedding IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-06 Tong Wu; Ying-Jun Angela Zhang; Yang Liu; Wing Cheong Lau; Huanle Xu
This paper proposes a novel network-embedding based method to recover the missing measurements in power systems. In particular, we first construct the spatial and temporal graphs to describe both the spatial correlation among the buses in a power flow network and the temporal correlation of the bus states over different time. Secondly, we propose a Softwork algorithm to map the spatial and temporal
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Detection of Synchrophasor False Data Injection Attack Using Feature Interactive Network IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-05 Wei Qiu; Qiu Tang; Kunzhi Zhu; Weikang Wang; Yilu Liu; Wenxuan Yao
The synchrophasor data recorded by Phasor Measurement Units (PMUs) plays an increasingly critical role in the regulation and situational awareness of power systems. However, the widely installed PMUs are vulnerable to multiple malicious attacks from cyber hackers during data transmission and storage. To address this problem, a Modified Ensemble Empirical Mode Decomposition (MEEMD) is proposed first
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Modeling of DC Distribution System Based on High Frequency Transient Components IEEE Trans. Smart. Grid. (IF 8.267) Pub Date : 2020-08-05 Ke Jia; Qijuan Zhao; Zhengxuan Zhu; Tianshu Bi
The fault characteristics of multi-converter DC system are complex and variable. How to use fault transient information for fault characteristic analysis and protection setting is one of the challenges faced by the development of DC power distribution system. In this article, the high-frequency characteristics of faults in DC systems are analyzed. Then based on the transient fault circuit analysis
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