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Data-driven power Flow Method Based on Exact Linear Regression Equations

Journal of Modern power systems and Clean Energy 2022年第3期10卷 800-804页

作者： Yanbo Chen Chao Wu Junjian Qi State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical&Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

power flow(PF)is one of the most important calculations in power *** widely-used PF methods are the Newton-Raphson PF(NRPF)method and the fast-decoupled PF(FDPF)*** smart grids,power generations and loads become intermittent and much more uncertain,and the topology also changes more frequently,which may result in significant state shifts and further make NRPF or FDPF difficult to *** address this problem,we propose a data-driven PF(DDPF)method based on historical/simulated data that includes an offline learning stage and an online computing *** the offline learning stage,a learning model is constructed based on the proposed exact linear regression equations,and then the proposed learning model is solved by the ridge regression(RR)method to suppress the effect of data *** online computing stage,the nonlinear iterative calculation is not *** results demonstrate that the proposed DDPF method has no convergence problem and has much higher calculation efficiency than NRPF or FDPF while ensuring similar calculation accuracy.

关键词： Data driven exact linear regression equation Fast-decoupled power flow Newton-Raphson method

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2023 Novel Optical Materials and Applications, NOMA 2023

作者： Lee, Dayeong Kim, Jungmin Park, Hyungchul Lee, Ikbeom Yu, Sunkyu Park, Namkyoo Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of

We propose a theoretical approach for the realization of unidirectional light scattering without spatial patterning, enabled by correlated photonic disorder in time domain. Our study enables novel photonic devices suc... 详细信息

关键词： Photonic devices

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Influence of Asymmetric Air-Gap on Forces and Eddy Current in Linear Induction Motors for Metro 11th

Influence of Asymmetric Air-Gap on Forces and Eddy Current i...

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11th Frontier Academic Forum of electrical engineering, FAFEE 2024

作者： Zeng, Dihui Wang, Ke Ge, Qiongxuan Key Laboratory of High Density Electromagnetic Power and Systems Institute of Electrical Engineering Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9789819788231

Since the single-sided linear induction motors (SLIMs) for rail transit usually works with an asymmetric air-gap, the degrees of primary-secondary coupling attitude are the key variables for the electromagnetism and force characteristics in the motors. Therefore, this paper investigates the influences of the primary-secondary coupling attitude on the characteristics, e.g., secondary impedance, induced eddy current, and electromagnetic forces, by using the numerical method. First, a 3-D analysis model used for finite element method is established, and the configurations for the three basic attitudes are given. Second, the map of the induced eddy current on the secondary under the three basic attitudes are given. Third, three-dimensional electromagnetic forces and secondary parameters are obtained based on the results of electromagnetic field quantities. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electromagnetic fields

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An Efficient Method for Estimating Capability Curve of Virtual power Plant

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CSEE Journal of power and Energy systems 2022年第3期8卷 780-788页

作者： Zhenfei Tan Haiwang Zhong Xuanyuan Wang Honghai Tang Department of Electrical Engineering State Key Laboratory of Power SystemsTsinghua UniversityBeijingChina Power exchange center State Grid Jibei Electric Power Co.LtdBeijingChina Beijing Power Exchange Center BeijingChina

To incorporate the operating constraints of a virtual power plant(VPP)in transmission-level operation and market clearing,the concept of the VPP capability curve(VPP-CC)is proposed which explicitly characterizes the allowable range of active and reactive power outputs of a VPP.A two-step projection-based calculation framework is proposed to approximate the VPP-CC by the convex hull of critical points on its *** output of the proposed algorithm is concise and can be easily incorporated in the existing system operation and market *** studies based on the IEEE 33 and 123 test feeders show the computational efficiency of the proposed method outperforms existing methods by 4~7 ***,many fewer inequalities are needed to depict the VPP-CC while achieving the comparative approximation accuracy compared to sampling-based methods,which will relieve the communication and computation burden.

关键词： Aggregation model capability curve optimal power flow projection algorithm virtual power plant

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Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A Survey

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1092-1105页

作者： MengChu Zhou Meiji Cui Dian Xu Shuwei Zhu Ziyan Zhao Abdullah Abusorrah Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China School of Artificial Intelligence and Computer Jiangnan UniversityWuxi 214122China School of Information Science and Engineering Northeastern UniversityShenyang 110819China Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia K.A.CARE Energy Research and Innovation Center King Abdulaziz UniversityJeddah 21589Saudi Arabia

Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization *** past decade has also witnessed their fast progress to solve a class of challenging optimization problems called high-dimensional expensive problems(HEPs).The evaluation of their objective fitness requires expensive resource due to their use of time-consuming physical experiments or computer ***,it is hard to traverse the huge search space within reasonable resource as problem dimension *** evolutionary algorithms(EAs)tend to fail to solve HEPs competently because they need to conduct many such expensive evaluations before achieving satisfactory *** reduce such evaluations,many novel surrogate-assisted algorithms emerge to cope with HEPs in recent *** there lacks a thorough review of the state of the art in this specific and important *** paper provides a comprehensive survey of these evolutionary algorithms for *** start with a brief introduction to the research status and the basic concepts of ***,we present surrogate-assisted evolutionary algorithms for HEPs from four main *** also give comparative results of some representative algorithms and application ***,we indicate open challenges and several promising directions to advance the progress in evolutionary optimization algorithms for HEPs.

关键词： computer optimization evolutionary

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TopoEEG: A Timesformer-Based Topographic Image Representation Method for Single-Trial Early Detection of P300 22

TopoEEG: A Timesformer-Based Topographic Image Representatio...

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22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025

作者： Hong, Jiazhen Najafizadeh, Laleh Rutgers University Integrated Systems and NeuroImaging Laboratory Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331520526

Detecting P300 event-related potentials (ERPs) from electroencephalography (EEG) finds applications in several domains including brain computer interfaces (BCIs). Due to the low signal-to-noise ratio (SNR), however, detecting P300 from single trials has been challenging. As a result, multiple repetitions are typically needed, extending the BCI decision time. To address this problem, in this paper, we present TopoEEG, a novel method that generates a sequence of topography-based images from EEG, to capture both spatial and temporal information. These sequences are subsequently processed using the state-of-the-art video classification technique, TimeSformer. Evaluated using the BCI Competition II (IIb) dataset, results demonstrate that TopoEEG achieves single-trial P300 detection with F1-scores of 0.6830 and 0.7134 within the first 500 ms and 600 ms, respectively. These results highlight TopoEEG's potential to enhance the efficiency and speed of BCIs by reducing the need for multiple repetitions and the time required for decision-making in single-trial P300 detection. © 2025 IEEE.

关键词： Brain computer Interfaces (BCIs) Electroencephalography (EEG) P300 TimeSformer

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Adaptive Uniform Performance Control of Strict-Feedback Nonlinear systems With Time-Varying Control Gain

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 451-461页

作者： Kai Zhao Changyun Wen Yongduan Song Frank L.Lewis IEEE the Department of Electrical and Computer Engineering National University of SingaporeSingapore 119077Singapore the School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore the State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing Key Laboratory of Intelligent Unmanned SystemsSchool of AutomationChongqing UniversityChongqing 400044China the UTA Research Institute University of Texas at ArlingtonFort WorthTX 76118 USA

In this paper,we present a novel adaptive performance control approach for strict-feedback nonparametric systems with unknown time-varying control coefficients,which mainly includes the following ***,by introducing several key transformation functions and selecting the initial value of the time-varying scaling function,the symmetric prescribed performance with global and semi-global properties can be handled uniformly,without the need for control ***,to handle the problem of unknown time-varying control coefficient with an unknown sign,we propose an enhanced Nussbaum function(ENF)bearing some unique properties and characteristics,with which the complex stability analysis based on specific Nussbaum functions as commonly used is no longer ***,by utilizing the core-function information technique,the nonparametric uncertainties in the system are gracefully handled so that no approximator is ***,simulation results verify the effectiveness and benefits of the approach.

关键词： Adaptive control enhanced Nussbaum function(ENF) strict-feedback systems unified prescribed performance

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Distribution System Restoration with Cyber Failures Based on Co-dispatching of Multiple Recovery Resources

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Journal of Modern power systems and Clean Energy 2024年第4期12卷 1096-1112页

作者： Zhengze Wei Kaigui Xie Bo Hu Yu Wang Changzheng Shao Pierluigi Siano Jun Zhong National Key Laboratory of Power Transmission Equipment Technology Chongqing UniversityChongqing 400044China Department of Management and Innovation Systems University of SalernoFisciano 84084Italyand he is also with the Department of Electrical and Electronic Engineering ScienceUniversity of JohannesburgJohannesburg 2006South Africa Shenzhen Power Supply Co. Ltd.China Southern Power GridShenzhen 518000China

Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme *** distribution system restoration(DSR)depends on the interaction among the electric network(EN),cyber network(CN),and traffic network(TN).However,the coordination of these three networks and codispatching of multiple recovery resources have been mostly *** paper proposes a novel DSR framework,which is formulated as a mixed-integer linear programming(MILP)*** failures in cyber lines result in cyber blind areas,which restrict the normal operation of remote-controlled *** accelerate the recovery process,multiple recovery resources are utilized including electric maintenance crews(EMCs),cyber maintenance crews(CMCs),and emergency communication vehicles(ECVs).Specifically,CMCs and ECVs restore the cyber function of switches in cooperation,and EMCs repair damaged electric *** travel time of these three dispatchable resources is determined by *** effectiveness and superiority of the proposed framework are verified on the modified IEEE 33-node and 123-node test systems.

关键词： Distribution system restoration(DSR) network coupling maintenance crew co-dispatching emergency communicationvehicle

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Cyber-Physical Reconfiguration for Disaster Resilience of power Distribution systems 14

Cyber-Physical Reconfiguration for Disaster Resilience of Po...

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14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Islam, Md. Zahidul Lin, Yuzhang Vokkarane, Vinod M. Yao, Yiyun Ding, Fei University of Massachusetts Lowell Department of Electrical and Computer Engineering LowellMA United States National Renewable Energy Laboratory Power Systems Engineering Center GoldenCO United States

ISBN: (纸本)9781665455541

Cyber-physical distribution systems (CPDS) have emerged from the integration of information technology into distribution systems. While offering substantial benefits, this integration also introduces vulnerabilities. The interaction between cyber networks and distribution systems renders CPDS susceptible to disasters. To ensure critical load supply and system resilience, rapid post-disaster load restoration is required. The paper proposes a critical load restoration (CLR) framework in CPDS using a network reconfiguration approach that exploits the existing post-disaster resources to restore critical loads within the shortest possible time. Using graph theory, the cyber network and distribution system are integrated into a single digraph, minimizing the CLR complexity in CPDS. A cost metric is also defined to satisfy network-specific objectives and constraints. A heuristic is proposed to guide the load restoration process using the cost metric within the integrated digraph. Simulation results confirm the framework's superiority over existing literature, which either overlooks cyber components or prolongs restoration with additional resource deployment. © 2023 IEEE.

关键词： Restoration

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Preventive power Outage Estimation Based on A Novel Scenario Clustering Strategy

Preventive Power Outage Estimation Based on A Novel Scenario...

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2024 IEEE power and Energy Society General Meeting, PESGM 2024

作者： Wang, Xiaofei Liu, Weijia Ding, Fei Yao, Yiyun Zhao, Junbo Power System Engineering Center National Renewable Energy Laboratory Golden United States Department of Electrical and Computer Engineering University of Connecticut Storrs United States

The increasing occurrence of extreme weather events is challenging power grid operation. For extreme weather events, the system operator is responsible for estimating the power outages and scheduling the restoration resources. This paper proposes an outage evaluation framework to identify the possible unserved load profiles, vulnerable areas, and mobile energy adequacy. The outputs of an outage prediction model tool are used to generate numerous faulted line scenarios. Next, each scenario's nodal unserved load profile is obtained by solving a three-phase restoration model that considers repair crews and mobile energy resources (MERs). Then, a novel scenario clustering strategy is developed to cluster the unserved load profiles into multiple representative profiles which the system operator can focus on. Finally, case studies on a distribution system evaluate the damage caused by an extreme weather event and verify the effectiveness of the proposed scenario clustering strategy. © 2024 IEEE.

关键词： Mobile energy resources (MERs) power system resilience preventive outage evaluation scenario clustering

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