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Voltage imbalance mitigation in an active distribution network using decentralized current control

Protection and control of Modern Power systems 2023年第2期8卷 68-84页

作者： Ahmed M.M.Nour Ahmed A.Helal Magdi M.El-Saadawi Ahmed Y.Hatata Alexandria Higher Institute of Engineering and Technology(AIET) AlexandriaEgypt Department of Electrical and Control Engineering Arab Academy for Science and Technology and Maritime TransportAlexandriaEgypt Department of Electrical Engineering Faculty of EngineeringMansoura UniversityMansouraEgypt Department of Electrical Engineering College of EngineeringShaqra UniversityShaqraKingdom of Saudi Arabia

Voltage imbalance(VI)is caused by the difference in connected single-phase load or generation in a low voltage distribution network(DN).VI increase in a smart distribution grid is due to the current practice of increasing single-phase distributed generators such as photovoltaic(PV)*** paper proposes a decentralized control method to mitigate VI using distributed batteries included in smart grid interfaced residential PV *** mitigate VI using the batteries in this way,five challenges must be overcome,i.e.,equalizing all battery stress currents within the DN,mitigating VI in abnormal conditions such as signal loss among bus controllers,being immune from the distorted feedback measurements,minimizing the steady-state error at different loads,and overcoming the insufficient number or capacity of the distributed batteries at the same *** fuzzy logic controllers(FLC)are proposed at each bus to overcome these five tasks based on a decentralized control *** proposed decentralized control based on FLC is compared with centralized control based on a PI *** proposed control method is tested and verified using simulations in the MATLAB/Simulink software,and the results validate the ability of the scheme to alleviate VI on a smart distribution network under both normal and abnormal conditions.

关键词： Fuzzy controller Distributed batteries Decentralized control Voltage imbalance Distributed PV

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Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian Liu D.C.Wunsch Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spacecraft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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Main Circuit's Parametric Optimal Design Counting Inconsistent Battery Parameters and control of 35 kV Large-Capacity Transformer-Less BESS

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IEEE Transactions on Energy Conversion 2025年第1期40卷 16-29页

作者： Liu, Chang Shi, Xianqiang Li, Rui Cai, Xu Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering School of Electronic Information and Electrical Engineering Shanghai200240 China

A large quantity of battery cells are required by each phase of the 35 kV large-capacity transformer-less battery energy storage system (LCTL-BESS) based on cascaded H-bridge converter (CHBC) and the parameters of battery cells are inconsistent. The inconsistencies of battery parameters should be fully considered in main circuit parameter design to improve the system's adaptability to them, thus delaying the aging rate of battery and ensuring the safety and high efficiency utilization during the whole life cycle of battery. The cascaded number of power modules in per phase is the most important main circuit parameter of system and has a significant influence on system performance, which should be optimized by considering system efficiency and safety comprehensively. Since the system efficiency and safety evaluation model are closely related to inconsistent battery parameters, it is impossible to establish them under different number of power modules based on the detailed parameters of each battery cell. Therefore, a method to establish system efficiency and safety evaluation model based on the capacity distribution of the battery cells is proposed. The massive battery cell parameter identifications and data processing are avoided. Our proposed method provides theoretical guidance for the optimization design of main circuit for LCTL-BESS. Additionally, the power and energy balancing control of 35 kV LCTL-BESS are investigated, and a novel energy balancing control strategy among modules considering the DC link voltage and state of charge (SOC) are proposed under the nearest level modulation (NLM), which can promise both the balancing effect and AC side output performance. Finally, the validity of the proposed parameter design method and the control strategy are proved through off-line simulation model. © 1986-2012 IEEE.

关键词： Battery management systems

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Very Short-Term Probabilistic Prediction Method for Wind Speed Based on ALASSO-Nonlinear Quantile Regression and Integrated Criterion

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CSEE Journal of Power and Energy systems 2023年第6期9卷 2121-2129页

作者： Yan Zhou Yonghui Sun Sen Wang Linquan Bai Dongchen Hou Rabea Jamil Mahfoud Peng Wang the College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China Department of Systems Engineering and Engineering Management the University of North CarolinaCharlotte NC 28223USA

To enhance the performance of the prediction intervals (PIs), a novel very short-term probabilistic prediction method for wind speed via nonlinear quantile regression (NQR) based on adaptive least absolute shrinkage and selection operator (ALASSO) and integrated criterion (IC) is proposed. The ALASSO method is studied for shrinkage of output weights and selection of variables. Furthermore, for the better performance of PIs, composite weighted linear programming (CWLP) is proposed to modify the conventional linear programming cost function of quantile regression (QR), by combining it with Bayesian information criterion (BIC) as an IC to optimize the coefficients of PIs. Then, the multiple fold cross model (MFCM) is utilized to improve the PIs performance. Multistep probabilistic prediction of 15-minute wind speed is performed based on the real wind farm data from the northeast of China. The effectiveness of the proposed approach is validated through the performances' comparisons with conventional methods.

关键词： Composite weighted linear programming least absolute shrinkage and selection operator integrated criterion wind speed

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Design and Parametric Optimization of a Doublesided Linear Induction Motor for Hyperloop Pod

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CES Transactions on electrical Machines and systems 2025年第1期9卷 36-45页

作者： Bahaddin Goksun Ismet Sen Musap Kuzucu Bati Eren Ergun Ilhan Kocaarslan Mehmet Onur Gulbahce Electrical Engineering Department Istanbul Technical UniversityIstanbul34469 Turkey Electronics and Communication Engineering Department Istanbul Technical UniversityIstanbul34469 Turkey Robotic and Autonomous Systems Engineering Department Istanbul Technical UniversityIstanbul34469 Turkey

The hyperloop idea, which is one of the most ecofriendly, low-carbon emissions, and fossil fuel-efficient modes of transportation, has recently become quite popular. In this study, a double-sided linear induction motor(LIM) with 500 W of output power, 60 N of thrust force and 200 V/38.58 Hz of supply voltage was designed to be used in hyperloop development competition hosted by the scientific and technological research council of turkey(TüB?TAK) rail transportation technologies institute(RUTE). In contrast to the studies in the literature, concentrated winding is preferred instead of distributed winding due to mechanical constraints. The electromagnetic design of LIM, whose mechanical and electrical requirements were determined considering the hyperloop development competition, was carried out by following certain steps. Then, the designed model was simulated and analyzed by finite element method(FEM), and the necessary optimizations have been performed to improve the motor characteristics. By examining the final model, the applicability of the concentrated winding type LIM for hyperloop technology has been investigated. Besides, the effects of primary material, railway material, and mechanical air-gap length on LIM performance were also investigated. In the practical phase of the study, the designed LIM has been prototyped and tested. The validation of the experimental results was achieved through good agreement with the finite element analysis results.

关键词： Finite element analysis(FEA) Hyperloop Linear induction motor(LIM) Motor design

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Industrial federated learning algorithm (P-PFedSGD) for tool wear estimation

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Future Generation Computer systems 2024年 158卷 150-157页

作者： Huang, Guan-Ying Lee, Ching-Hung Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University 300 Taiwan Department of Electrical Engineering Chung Yuan Cristian University 32023 Taiwan

In recent years, machine learning has been challenged by the growing concerns regarding data privacy. This has led to the emergence of federated learning, which aims to train a model across distributed clients without sharing their data, thereby resolving the data privacy issues. However, this scheme may not generalize well to the heterogeneous data of distributed clients, particularly in industrial applications. This has motivated the development of personalized approaches for preserving privacy. Therefore, in this study, we introduced an index called gradient divergence to verify heterogeneity based on federated learning, which was adopted to adjust the aggregation weight. A personalized federated learning with privacy preserving algorithm called personalized federated stochastic gradient descent (P-PFedSGD) was developed to improve the performance of federated learning on local datasets while maintaining the performance on other client datasets. P-PFedSGD allows clients to transmit the local gradient instead of the local model. This approach utilizes the advantages of both personalized and federated learning, while preserving data privacy. The developed P-PFedSGD algorithm was applied to tool-wear estimation to demonstrate its performance and effectiveness. The results showed that the developed approach has more functionality than other algorithms to overcome the challenges of federated learning, such as communication cost reduction and computation reduction for clients. © 2024

关键词： Cost reduction

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Synchrophasor-based Online State Estimated in Large-scale Power Grid

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CSEE Journal of Power and Energy systems 2023年第5期9卷 1613-1622页

作者： Junjie Lin Chao Lu Wenchao Song Yingduo Han Yinsheng Su He Huang Licheng Li the College of Electrical Engineering and Automation Fuzhou UniversityFuzhouChina the Department of Electrical Engineering Tsinghua UniversityBeijingChina the State Key Lab of Power systems Department of Electrical EngineeringTsinghua UniversityBeijingChina China Southern Power Grid GuangzhouChina

With integration of a larger amount of clean power sources and power electronic equipment,operation and dynamic characteristics of the power grid are becoming more and more complicated and ***,it is necessary and urgent to obtain accurate real-time states,which is difficult from traditional state *** paper systematically develops a phasor measurement unit(PMU)based real-time state estimator for a realistic large-scale power grid for the first *** estimator mainly relies on three refined algorithms,i.e.,an improved linear state estimation algorithm,a practical bad data identification method and a distributed topology check ***,a novel system architecture is designed and implemented for the China Southern Power *** simulations and extensive field operation results of the state estimator recorded under both normal and abnormal situations are *** the tests and field results demonstrate the advantages of the proposed algorithms in terms of online system monitoring and feasibility of refreshing the states of the whole system at intervals of tens of milliseconds.

关键词： PMU-based state estimation design and implementation bad data identification topology analysis

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Stability Analysis on Iterative PID control Design Algorithm for Maximizing Proportional Gain

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Transactions of the Korean Institute of electrical Engineers 2025年第2期74卷 332-338页

作者： Joo, Youngjun Department of Electrical Engineering Institute of Advanced Materials and Systems Sookmyung Women‘s University Korea Republic of

This paper deals with an iterative proportional-integral-derivative (PID) gain tuning algorithm to maximize the proportional (P) gain while guaranteeing the stability of the closed-loop system. Indeed, by increasing P-gain, the performance of the closed-loop system, such as the steady-state error, disturbance rejection, and transient response, is improved. However, increasing P-gain alone generally destabilizes the closed-loop system, and thus, the control designer also needs to increase the derivative (D) gain. To improve the control performance and guarantee stability simultaneously, P- and D-gains are sequentially increased in an iterative manner. Furthermore, if necessary, the integral (I) gain is selected to achieve the desired steady-state performance with the pre-designed PD controller. With its strong control performance, the proposed algorithm makes it easy to design PID gains and can be applicable to the fine-tuning of PID gains selected by other PID gain tuning algorithms. In addition, the stability conditions of designing PID gains are presented for linear time-invariant systems. Thus, the stability of the closed-loop system is guaranteed while separately increasing each P-, I-, and D-gain. To validate the effectiveness of the proposed algorithm, simulations for a single-link flexible robot manipulator system have been conducted. © The Korean Institute of electrical Engineers.

关键词： Disturbance rejection

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Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5575-5588页

作者： Jiang, Zihan Ma, Yiqun Shi, Bingyu Lu, Xin Xing, Jian Goncalves, Nuno Jin, Bo Suzhou215000 China Northeast Forestry University College of Computer and Control Engineering Harbin150000 China University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra3030-290 Portugal

This article introduces a novel model for low-quality pedestrian trajectory prediction, the social nonstationary transformers (NSTransformers), that merges the strengths of NSTransformers and spatiotemporal graph transformer (STAR). The model can capture social interaction cues among pedestrians and integrate features across spatial and temporal dimensions to enhance the precision and resilience of trajectory predictions. We also propose an enhanced loss function that combines diversity loss with logarithmic root mean squared error (log-RMSE) to guarantee the reasonableness and diversity of the generated trajectories. This design adapts well to complex pedestrian interaction scenarios, thereby improving the reliability and accuracy of trajectory prediction. Furthermore, we integrate a generative adversarial network (GAN) to model the randomness inherent in pedestrian trajectories. Compared to the conventional standard Gaussian distribution, our GAN approach better simulates the intricate distribution found in pedestrian trajectories, enhancing the trajectory prediction's diversity and robustness. Experimental results reveal that our model outperforms several state-of-the-art methods. This research opens the avenue for future exploration in low-quality pedestrian trajectory prediction. © 2024 IEEE.

关键词： Stars

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Relaxed Stability Criteria for Time-Delay systems:A Novel Quadratic Function Convex Approximation Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 996-1006页

作者： Shenquan Wang Wenchengyu Ji Yulian Jiang Yanzheng Zhu Jian Sun College of Electrical and Electronic Engineering Changchun University of TechnologyChangchun 130012China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Complex Systems Intelligent Control and Decision Beijing Institute of TechnologyBeijing 100081China

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying *** introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic *** developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular ***,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre *** a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay ***,the superiority of our results is illustrated through three numerical examples.

关键词： Equivalent reciprocal combination technique quadratic function convex approximation approach stability timevarying delay

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