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IEEE International Conference on Power and Energy systems (ICPES)

作者： Hongzhi Liu Qing Li Pingping Han Yan Li Yiwen Fan Xinshou Tian China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (数字)9781665404945

ISBN: (纸本)9781665404952

The extensive emerging of distributed PV power generation and DC loads accelerates the development of DC distribution network. In a DC distribution network, the intermittence of generation of distributed PV causes power fluctuation and the relatively large power load ratio weakens the PV utilization rate. In this paper, a control strategy for DC distribution network is proposed to solve the problems. The DC distribution network is connected to the main AC distribution network via a voltage source converter (VSC), and a battery storage system is employed to smooth the power fluctuation. In the grid-connected operation, the battery stabilizes the voltage of the DC distribution network while the VSC outputs constant power to the AC network. In the islanded operation, the battery controls the DC network voltage according to its state of charge (SOC) level. A new load shedding strategy is developed based on the DC voltage level to assure the power supply to the critical loads as long as possible. PSCAD/EMTDC is used for modeling and simulation. The simulation results verified the effectiveness of the proposed control strategy.

关键词： Power supplies Simulation Distribution networks Batteries State of charge Voltage control Load modeling

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Modeling and simulation of virtual synchronous generator for DFIG wind turbine generator 8

Modeling and simulation of virtual synchronous generator for...

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8th Renewable Power Generation Conference, RPG 2019

作者： Zhu, Qiongfeng Chen, Ziyu Feng, Shouhong Wang, Yufeng Zhang, Bowen Li, Weilin State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Department of Electrical Engineering School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781839531255

With the rapid development of the wind power generation, the penetration rate of wind power is gradually increasing, which affects the stable operation of the power system. The DFIG wind turbine generator can realize decoupling control of output active and reactive power by vector transformation control. However, under this power control, wind turbines do not have the electromechanical transient characteristics like synchronous generators for supporting the stable operation of the power system. Virtual synchronous generator technology can make the wind power system reflect the operation mechanism and external characteristics of traditional synchronous generators to improve the stability of power system. This paper builds a generic simulation model of current source type DFIG wind turbine generator based on VSG technology, which can simulate a series of VSG behaviors including virtual inertia control, damping control, primary frequency control, reactive power control and fault ride through. The developed simulation model is also validated comparing to the actual wind turbine field testing data, which shows accurate and reliable simulation results. The developed simulation model can provide theoretical and model basis for studying VSG technology and grid integration characteristics. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Wind Turbine Generators

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Position Sensorless control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer

Position Sensorless Control of Permanent Magnet Synchronous ...

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Chinese automation Congress (CAC)

作者： Tao Zhang Yingjie Xiong Bolun Wang Hongyu Yan Xiyou Chen School of Electrical Engineering Dalian University of Technology Dalian China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China College Of Information Science and Engineering Northeastern University Shenyang China School of Artificial Intelligence Shenyang University of Technology Shenyang China

ISBN: (纸本)9781665426480

Permanent magnet synchronous motors(PMSM) are popular in AC motor applications due to their small size, high efficiency. They have appeared widely in various areas of life. Due to the high-frequency chattering problem caused by sliding mode observer sensorless control of PMSM, an SMO with piecewise control function is designed in this paper. At the same time, based on the back EMF output of the SMO, the gain of the SMO is adapted to reduce the system bucket vibration problem caused by the conventional SMO. Finally, a simulation experiment was carried out in MATLAB/SIMULINK and compared with the conventional SMO. The results show that the improved SMO has achieved a better control effect.

关键词： Vibrations Adaptation models AC motors Force Sensorless control Observers Permanent magnet motors

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Deep-learning based Optimal PMU Placement and Fault Classification for Power System

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Expert systems with Applications 2025年

作者： Xin Lei Zhen Li Huaiguang Jiang Samson S. Yu Yu Chen Bin Liu Peng Shi School of Future Technology South China University of Technology Panyu District Guangdong China School of Automation & Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing 100081 China School of Engineering Deakin University 75 Pigdon Rd Waurn Ponds Victoria 3216 Australia College of Information Science and Engineering China University of Petroleum (Beijing) Beijing China School of Electrical and Electronic Engineering University of Adelaide 5005 SA Australia

Phasor measurement units (PMUs) are vital for power grid monitoring, yet their high cost restricts widespread adoption. PMU measurement data is also crucial for fault analysis in power systems. However, existing research seldom explores the interplay between optimal PMU placement (OPP) and fault analysis, impeding advancements in grid economy and security. This study introduces a perception-driven, deep learning-based optimization approach that integrates OPP, multi-task learning, and fault data augmentation. First, deep reinforcement learning optimizes PMU placement, balancing cost-effectiveness with observability requirements. Next, multi-task learning, enhanced by Bayesian optimization, improves fault classification efficiency using PMU data. Finally, pre-trained models paired with k -means clustering augment fault data, boosting classification accuracy. Extensive simulations across four IEEE standard test systems validate the proposed method’s effectiveness.

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Topological horseshoe analysis and field-programmable gate array implementation of a fractional-order four-wing chaotic attractor

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Chinese Physics B 2018年第1期27卷 300-306页

作者：董恩增王震于晓陈增强王增会 Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems Tianjin University of Technology Department of Automation Nankai University Department of Electrical and Mining Engineering University of South Africa

We present a fractional-order three-dimensional chaotic system, which can generate four-wing chaotic attractor. Dy- namics of the fractional-order system is investigated by numerical simulations. To rigorously verify the chaos properties of this system, the existence of horseshoe in the four-wing attractor is presented. Firstly, a Poincar6 section is selected properly, and a first-return Poincar6 map is established. Then, a one-dimensional tensile horseshoe is discovered, which verifies the chaos existence of the system in mathematical view. Finally, the fractional-order chaotic attractor is imple- mented physically with a field-programmable gate array （FPGA） chip, which is useful in further engineering applications of information encryption and secure communications.

关键词： fractional-order chaotic system Poincar6 map topological horseshoe field-programmable gatearray （FPGA）

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Gauss-Newton unrolled neural networks and data-driven priors for regularized PSSE with robustness

arXiv

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arXiv 2020年

作者： Yang, Qiuling Sadeghi, Alireza Wang, Gang Giannakis, Georgios B. Sun, Jian State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States

Renewable energy sources, elastic loads, and purposeful manipulation of meter readings challenge the monitoring and control of today’s power systems (PS). In this context, fast and robust state estimation (SE) is timely and of major importance to maintain a comprehensive view of the system in real time. Conventional PSSE solvers typically entail minimizing a nonlinear and nonconvex least-squares cost using e.g., the Gauss-Newton method. Those iterative solvers however, are sensitive to initialization, and may converge to local minima. To overcome these hurdles, the present paper adapts and leverages recent advances on image denoising to introduce a PSSE approach with a regularizer capturing a deep neural network (DNN) prior. For the resultant regularized PSSE objective, a "Gauss-Newton-type" alternating minimization solver is developed first. To accommodate real-time monitoring, a novel end-to-end DNN is constructed subsequently by unrolling the proposed alternating minimization solver. The deep PSSE architecture can further account for the power network topology through a graph neural network (GNN) based prior. To further endow the physics-based DNN with robustness against bad data, an adversarial DNN training method is put forth. Numerical tests using real load data on the IEEE 118-bus benchmark system showcase the improved estimation and robustness performance of the proposed scheme compared with several state-of-the-art alternatives. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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Switched-capacitor finite impulse response rotator filter

Switched-capacitor finite impulse response rotator filter

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Paweł Pawłowski Rafał Długosz Adam Dąbrowski Division of Signal Processing and Electronic Systems Jana Pawł a II 24 Poznan University of Technology Faculty of Control Robotics and Electrical Engineering and Institute of Automation and Robotics Poznań Poland Faculty of Telecommunication Computer Science and Electrical Engineering Kaliskiego 7 UTP University of Science and Technology Bydgoszcz Poland

ISBN: (数字)9788362065394

ISBN: (纸本)9781728177465

Design of the topology and layout for an analog finite impulse response (FIR) filter realized in the CMOS technology using the switched capacitor (SC) technique, is presented. The filter is based on the so called “rotator structure” supplemented with the programmable capacitor array. This array makes the on-line adjusting of the frequency response of the filter possible in a very wide range, thus, enlarges the area of applications of this circuit, e.g., to multi-standard wireless communication, software-defined radio, adaptive systems, etc. The presented circuit realizes filters of orders up to 15 (16 filter coefficients). The maximum frequency range approaches ca. 2 MHz. The circuit dissipates ca. 8 mW from the power supply.

关键词： Finite impulse response filters Capacitors IIR filters Clocks Operational amplifiers Switches Capacitance

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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Modeling and Simulation of Virtual Synchronous Generator for Photovoltaic Inverter

Modeling and Simulation of Virtual Synchronous Generator for...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Wang, Shunlai Zhu, Qiongfeng Feng, Shouhong Wang, Yufeng Xu, Zixiao Yang, Jingru Zhang, Bowen Li, Weilin State Key Laboratory of Operation and Control of Renewable Energy Storage Systems China Electric Power Research Institute Beijing China Department of Electrical Engineering School of Automation Northwestern Polytechnical University Line Xi'an China

ISBN: (纸本)9781728135205

The rise of photovoltaic installed capacity brings severe challenges to the safe and stable operation of the power grid. If the grid-connected inverter of the photovoltaic system can simulate the moment of inertia and frequency modulation characteristics of the synchronous generator according to external characteristics, the stability of the photovoltaic system can be improved. Therefore, the virtual synchronous generator control strategy (VSG) is proposed. This paper builds a generic simulation model of current source type photovoltaic inverter based on VSG technology, which can simulate a series of VSG behaviours including virtual inertia control, damping control, primary frequency control, reactive power control and fault ride through. The developed simulation model is also validated comparing to the actual PV power plant testing data, which shows accurate and reliable simulation results. The model of photovoltaic inverter can provide theoretical and model basis for the study of grid-connected stability and grid-connected operational characteristics. © 2019 IEEE.

关键词： Synchronous generators

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Distributed Formation of Autonomous Underwater Vehicles with Unreliable Switching Topologies and Transmission Delays

Distributed Formation of Autonomous Underwater Vehicles with...

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Chinese control Conference (CCC)

作者： Chao Ma Wei Wu Yidao Ji Hang Fu School of Mechanical Engineering University of Science and Technology Beijing Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

This paper investigates the formation problem of autonomous underwater vehicles with unreliable switching communication topologies and time-varying transmission delays. More precisely, the switching topologies contains achievable and unachievable sub-topologies, which can better describe the practical underwater communication environment. By performing model transformation and constructing appropriate multiple Lyapunov-function method, sufficient conditions are established based on admissible edge-dependent average dwell time, such that the desired formation configuration can be achieved with transmission delays. Finally, an illustrative example is given at last to verify the effectiveness of the main results.

关键词： Topology Switches Delays Network topology Underwater autonomous vehicles Switched systems

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