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Self-adaptive Equivalent modeling for Small Signal Stability Analysis of Wind Farm under Wind Speed Variation 4

Self-adaptive Equivalent Modeling for Small Signal Stability...

引用

4th ieee China international Electrical and Energy conference, CIEEC 2021

作者： Lan, Zhou Pan, Mingjiu Yang, Kai He, Junyi Wang, Xiaofei State Grid Zhejiang Economy Technical Research Institute Hangzhou China Zhejiang University School of Electrical Engineering Hangzhou China

ISBN: (纸本)9781728171494

With the development of renewable energy generation, the increase of wind turbines makes stability analysis difficult. Aiming at this problem, this paper proposes a self- adaptive equivalent modeling of wind farm with various wind speed for small signal analysis. Firstly, the frequency domain model of wind farm is constructed, and the small signal impedance model of wind turbines is changed to the external circuit by Schur transform. Then, we decompose the dynamic characteristics of the wind turbines, compare the system's eigenvalues under the dominant mode and categorize the turbines. The number of equivalent turbines is determined by turbine control parameters and network topology. Finally, the equivalent parameters are calculated to build the equivalent model. The simulation result, based on the MATLAB/Simulink platform, verifies the rationality of the proposed self-adaptive equivalent modeling method. © 2021 ieee.

关键词： MATLAB

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Event-triggered Multi-Step Model Predictive Control for Permanent Magnet Synchronous Motors

Event-triggered Multi-Step Model Predictive Control for Perm...

引用

international conference on Power Electronics and Motion Control (IPEMC)

作者： Xiaojun Wu Weilin Yang Guanyang Hu Wentao Huang Dezhi Xu Jiangnan University School of Internet of Things Engineering Wuxi

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

A strategy based on event-triggered finite control set model predictive control (FCS-MPC) for permanent magnet synchronous motor (PMSM) is aimed to address reduce communication resources between interconnected systems. In this strategy, the predictive controller only performs predictive calculations when the event-triggered controller meets the triggered conditions. Compared to traditional time-triggered strategy, this event-triggered strategy has the advantage of ensuring relative good steady-state performance and reducing the computational and communication burden of the model predictive controller. The simulation results show that the multi-step model predictive control based on event-triggered permanent magnet synchronous motor is effective, with slight increased in torque ripple and a decrease in computational and communication resources.

关键词： simulation Computational modeling Predictive models Permanent magnet motors Power electronics Steady-state Torque measurement

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Research on Illustration Art Design Models Based on Operator-Optimized Genetic Algorithms

Research on Illustration Art Design Models Based on Operator...

引用

Electrical, Automation and Computer Engineering (ICEACE), international conference on

作者： Bo Wang Guangdong University of Science and Technology Dongguan China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

This paper addresses the challenges of low search efficiency and high complexity associated with standard genetic algorithms in illustration art design. We introduce a new model that integrates operator optimization and clustering-enhanced genetic algorithms. First, we dynamically modify the crossover and mutation probabilities during the genetic algorithm's execution based on population characteristics, which improves search ***, we incorporate the K-medoids algorithm to refine clustering within the genetic framework, utilizing a cost function to assess clustering quality and thereby reduce the algorithm's complexity. Finally, we apply our enhanced genetic algorithm to the design of random illustrations. simulation results demonstrate that our proposed algorithm achieves higher levels of artistic quality and innovation in illustration art design.

关键词： Technological innovation Art Heuristic algorithms Computational modeling simulation Clustering algorithms Product design Complexity theory Standards Genetic algorithms

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Formal modeling and Verification of Industrial Robotic Arm - A Case Study

Formal Modeling and Verification of Industrial Robotic Arm -...

引用

ieee international conference on Software Quality, Reliability and Security Companion (QRS-C)

作者： Ilmaan Zia Muhammad Abdul Basit Ur Rahim Tairan Liu Zhangying He Department of Computer Science and Engineering California State University Long Beach CA USA Department of Mechanical and Aerospace Engineering California State University Long Beach CA USA

Robotic arm systems are revolutionizing industries by automating operations and extending capabilities beyond human limitations, prioritizing accuracy and precision. These systems redefine boundaries across various sectors, including healthcare, mobile automation, and space exploration. Ensuring the safety of the robotic arm and its surrounding environment is paramount during its operations. This paper presents a detailed investigation of formal modeling and verification in the context of an industrial robotic arm, specifically a multi-joint mechanism equipped with advanced capabilities such as object manipulation, obstacle detection, and avoidance. The study uses the model-checking tool to capture the complex behavior of the system precisely. In-depth simulation and verification techniques are used for the formal model, focusing on its crucial properties, including safety, liveness, fairness, and deadlock-freeness.

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A Multi-Model Fusion Approach for Transformer Fault Detection

A Multi-Model Fusion Approach for Transformer Fault Detectio...

引用

Information Technology,Big Data and Artificial Intelligence (ICIBA), international conference on ieee international conference on

作者： Ke Zhou Wei Zhang Ligang Li Shaoming Pan Chengwei Huang Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid CO. LTD. Nanning State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences China Power Supply Bureau of Guangxi Hezhou Power Grid Co. Ltd.

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

Addressing the weak generalization capability and suboptimal prediction performance of single mechanistic and data-driven models, this paper proposes a transformer fault detection method based on the fusion of mechanism and data models. Firstly, vibration and current data are collected on-site to train the SVM vibration model and the Adaboost current model. Secondly, current simulation data is obtained using laboratory simulation software. This simulation data, combined with the current data collected under the same conditions on-site, is used as input to train the GBDT error compensation model. Finally, these three models are used as inputs to the GRNN, completing the overall model design. This fusion of mechanistic and data-driven models not only addresses the parameter mismatch issue of the mechanistic model under complex working conditions but also deeply mines time-series data. Experimental results show that The mean squared error of the fusion model is 0.002 lower than that of the data model, and the coefficient of determination is improved by 5.07% compared to the mechanistic model, enhancing the overall predictive accuracy of the model.

关键词： Vibrations Support vector machines Training Accuracy Biological system modeling Fault detection Predictive models Transformers Prediction algorithms Data models

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CRB Solving For Two-Hop MIMO Collaborative Systems Based On Nested PARAFAC Model

CRB Solving For Two-Hop MIMO Collaborative Systems Based On ...

引用

international conference on Information, Communication and Networks (ICICN)

作者： Xi Han Zhi Qi Jinyin Wan Changliu Niu Jiaxi Ying Department of Infomatoin and Communication Engineering North China University of Technology Beijing China Department of Infomatoin and Communication Engineering The Hong Kong University of Science and Technology Hong Kong China

ISBN: (数字)9798350355802

ISBN: (纸本)9798350355819

In two-hop MIMO collaborative systems, a nested PARAFAC model is constructed at the destination node to facilitate joint channel and symbol estimation using the BALS algorithm. This paper derives a closed-form expression for the Cramer-Rao Bound (CRB) for the channel by vectorizing and stacking the received signals, and analyzes the computational complexity using the Slepian-Bangs formula. The nested PARAFAC model enhances channel state information (CSI) estimation by integrating multi-dimensional signal information. The CRB closure expression is derived by employing complex matrix derivation rules and properties of the multivariate joint Gaussian distribution. simulation results illustrate the CRB performance for both hops and highlight the computational complexity involved.

关键词： Cramer-Rao bounds Closed-form solutions Computational modeling simulation Collaboration Channel estimation Estimation Symbols Gaussian distribution Computational complexity

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modeling of Power Distrubition Network (PDN) Noise Coupling Induced Clock Phase Noise

Modeling of Power Distrubition Network (PDN) Noise Coupling ...

引用

ieee international Symposium on Electromagnetic Compatibility (EMC)

作者： Zhekun Peng Junyong Park Chaofeng Li Joey Stecher Srinivas Venkataraman Xu Wang Granthana Rangaswamy DongHyun Kim EMC Laboratory Missouri University of Science and Technology Rolla MO USA Meta Platforms Inc. Menlo Park CA USA

ISBN: (数字)9798350360394

ISBN: (纸本)9798350360400

Phase noise analysis is important to clock design. Noise sources of spurs shown on the phase noise result are challenging to find out due to the unknown source locations and coupling mechanisms. Noise from power distribution network (PDN) is one of the most troublesome sources. A behavioral modeling methodology is proposed to simulate the clock phase noise induced by PDN noise coupling for two different mechanisms: PDN-to-clock additive coupling and PDN-to-PDN up-conversion modulation. The thermal noise and 1/f flicker noise are simplified to provide a straightforward view of spur level. The model can be applied to both single-ended clock and differential clock. The result of the model can be used to compare the power spectral density of the potential noise sources and provides hypothesis on the potential noise source together with layout change simulation. The potential root cause of the spurs is analyzed. The mitigation methodologies of the phase noise are proposed and evaluated in the specific case, presenting a 34 dB suppression to the spurs shown on a differential clock phase noise.

关键词： Couplings Phase noise Additives Prevention and mitigation Noise Layout Position measurement Thermal noise Power systems Clocks

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Coherent Accumulation of Random Frequency and Pulse Repetition Interval Agile Radar

Coherent Accumulation of Random Frequency and Pulse Repetiti...

引用

ieee international conference on Radar

作者： Beichen Fan Xiaoyong Du Weidong Hu ATR Key Lab. National University of Defense Technology Changsha China

ISBN: (数字)9798350362381

ISBN: (纸本)9798350362398

As the electromagnetic spectrum becomes increasingly crowded, the random frequency and pulse repetition interval agile (RFPA) radar signal is proposed, which can make the transmitted waveforms hop in the limited time series and narrow band frequency points, so that the detection could be more stable and flexible. Researches on the coherent processing of RFPA signal is popular, but the existing methods require high signal-to-noise ratio (SNR) and provide heavy computational burden to radar systems. In this paper, a coherent accumulation method for RFPA signal is proposed, which is based on phase compensation and non-uniform spectrum analysis. Based on the modeling of RFPA signal with transmission delay and derive its pulse compression output, the phase term is divided into compensation term and jitter term, which could then be processed separately. simulation results demonstrate the effectiveness of proposed method.

关键词： Time-frequency analysis Numerical analysis simulation Time series analysis Radar detection Radar signal processing Doppler radar Numerical models Spectral analysis Signal to noise ratio

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System Level IC Analog Processing Design For Piezoresistive MEMS Pressure Sensor

System Level IC Analog Processing Design For Piezoresistive ...

引用

ieee international conference on Electrical Engineering and Photonics (EExPolytech)

作者： Artyom Tulaev Vera Loboda Yakob Belyaev Peter the Great St. Petersburg Polytechnic University St. Petersburg Russian Federation

ISBN: (数字)9798350388879

ISBN: (纸本)9798350388886

This paper presents an electronic readout integrated circuit (IC) design for a piezoresistive MEMS pressure sensor, based on system level approach. The system level approach provides key parameter evaluation in early design stage and system verification at later stages, thus reducing development time and cost. The electronic readout model consists of an instrumentation amplifier, low-pass filter and MASH ∑∆-modulator. The focus of this work is to find the optimal dynamic parameters of the analog signal processing circuit for achieving different levels of pressure sensor inaccuracy. The simulation results demonstrated that sensor inaccuracy of 0.05% due to electronic readout can be achieved by SFDR of 61 dB and SNR of 70.4 dB.

关键词： Pressure sensors Micromechanical devices System verification simulation Signal processing Sensor systems Integrated circuit modeling Piezoresistance Optimization Signal to noise ratio

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Input impedance modeling of dual active bridge converter based on peak current control

Input impedance modeling of dual active bridge converter bas...

引用

international conference on Power Electronics and Motion Control (IPEMC)

作者： Wang Tian Zhanghai Shi Qirui Yang Zhizong Su Yunyu Hong Wenbin Chen Southwest Jiaotong University Chengdu China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

Dual active bridge converter based peak current control(PCC-based DAB) can effectively avoid transformer magnetic saturation. At present, the input impedance model of PCC-Based DAB converter has not been studied, which may cause potential stability problems when it is used as a load converter. To fill the gap, a full-order small-signal input impedance model for PCC-Based DAB converter is proposed. Then, the proposed input impedance model is used to analyze and predict the stability of the LC-DAB cascade system. Finally, the input impedance is measured by simulation, and the stability analysis and prediction are verified by simulation. The results prove the correctness and effectiveness of the proposed input impedance model of PCC-Based DAB converter.

关键词： Bridges Impedance measurement Current measurement Predictive models Stability analysis Power electronics Impedance

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