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Distributed Clustering algorithm for adaptive Pandemic Control

IEEE ACCESS 2021年 9卷 160688-160696页

作者： Insausti, Xabier Zarraga-Rodriguez, Marta Nolasco-Ferencikova, Carolina Gutierrez-Gutierrez, Jesus Univ Navarra Tecnun San Sebastian 20018 Spain

The COVID-19 pandemic has had severe consequences on the global economy, mainly due to indiscriminate geographical lockdowns. Moreover, the digital tracking tools developed to survey the spread of the virus have generated serious privacy concerns. In this paper, we present an algorithm that adaptively groups individuals according to their social contacts and their risk level of severe illness from COVID-19, instead of geographical criteria. The algorithm is fully distributed and therefore, individuals do not know any information about the group they belong to. Thus, we present a distributed clustering algorithm for adaptive pandemic control.

关键词： Clustering algorithms COVID-19 Privacy Tools Pandemics Laplace equations Coronaviruses adaptive algorithm clustering algorithms COVID-19 distributed algorithms

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Smart overcurrent relay for operating in islanded and grid-connected modes of a micro-grid without needing communication systems

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ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS 2022年第1期13卷 31-51页

作者： Sadoughi, Mahmood Hojjat, Mehrdad Abardeh, Mohamad Hosseini Islamic Azad Univ Shahrood Fac Elect & Comp Engn Dept Elect Engn Shahrood Branch Shahrood Iran

As the penetration of distributed generation resources in distribution networks increases, the need for designing micro-grids also increases. Micro-grids can operate in islanded and grid-connected modes. When a microgrid is connected to the main grid, it economically exchanges power with the upstream grid. However, in the islanded mode, the micro-grid can provide its own local demand. In addition to the technical and economic advantages due to the presence of micro-grids, there are some issues about the protection of distribution systems. The most important issue is the short circuit level in both islanded and grid-connected modes of operation. In this paper, a smart overcurrent relay is proposed that can adapt itself to the operation modes of a micro-grid. This relay detects the operation mode of the micro-grid using an adaptive algorithm. Two main features of the suggested adaptive method are the optimized accuracy and higher execution speed of the algorithm in determining the operation mode of the micro-grid. The optimal setting that is predefined in the relay is then activated based on the corresponding mode. The entire processing is performed in the relay itself by sampling the voltage and current of the relay line. Consequently, this relay can be installed and used in any location of a network without needing any communication infrastructure. Finally, the proposed method is implemented on a micro-grid. According to the numerical results, the coordination performance superiority of this smart relay over conventional overcurrent relays is proven.

关键词： Overcurrent relay Micro-grid Islanded mode adaptive algorithm Firefly algorithm Relay coordination

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Improved MPPT Control Strategy Based on Current Source Micro Inverter 10

Improved MPPT Control Strategy Based on Current Source Micro...

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10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Cao, Yilong Sang, Jiangtao Zhao, Fangping Jiang, Youhua Shanghai University of Electric Power College of Electronic and Information Engineering Shanghai China

ISBN: (纸本)9798350309379

Maximum power point tracking (MPPT) is one of the key technologies in photovoltaic power systems, aiming to improve system energy conversion efficiency. This article presents a study and improvement on the voltage-based MPPT control algorithm, and its effectiveness and feasibility are experimentally validated in current-mode micro-inverters. This algorithm adopts an optimization strategy combining segmented control and adaptive variable step size control technology to improve the tracking speed and accuracy of MPPT, in order to improve the energy conversion efficiency and stability of photovoltaic power generation systems. Experimental results demonstrate that the algorithm achieves rapid and accurate maximum power point tracking under different illumination and temperature conditions, significantly improving the overall system performance. Moreover, the algorithm exhibits strong robustness and adaptability, making it suitable for a wide range of photovoltaic power systems. With a rapid response to external environmental changes, the overall tracking efficiency of this method reaches 99.9%. © 2023 IEEE.

关键词： adaptive algorithm component Grid-connected photovoltaic system maximum power point tracking (MPPT)

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Closed Loop Control Using RSAPS algorithm for 5-Level CHB Multilevel Inverter

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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2022年第3期33卷 998-1011页

作者： Bansal, Praveen Singh, Alka Delhi Technol Univ Delhi India

This paper discusses the design and implementation of a Robust Shrine Affine Projection Sign (RSAPS) adaptive control algorithm for power quality improvement. Various limitations of conventional 2-level inverters can be overcome using a 5-level Cascaded H-Bridge multilevel inverter (CHB-MLI). Such a CHB-MLI is realized and controlled as a distribution static compensator (DSTATCOM) unit in this paper. The DC link of capacitors have been maintained to reference value by using proportional-integral (PI) controllers without using complex balancing circuits. Extensive simulation has been performed and a scaled -down experimental prototype model has been developed in the laboratory to test the system under steady state and dynamic load conditions using dSPACE-1104 digital signal processor. The simulation and experimental results show the source current harmonics, DC voltage regulation, power factor correction, weight updation etc. under varying load. The proposed algorithm gives satisfactory performance in terms of weight convergence, computational burden, mean square error (MSE) etc. under dynamic load conditions and in addition the THD obtained in source voltage and current is within acceptable IEEE-519 limits.

关键词： adaptive algorithm DSTATCOM Multilevel inverter Nonlinear load Power quality

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adaptive BEM for elliptic PDE systems, part I: abstract framework, for weakly-singular integral equations

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APPLICABLE ANALYSIS 2022年第6期101卷 2085-2118页

作者： Gantner, Gregor Praetorius, Dirk Univ Amsterdam Korteweg Vries Inst Math Amsterdam Netherlands TU Wien Inst Anal & Sci Comp Vienna Austria

In the present work, we consider weakly-singular integral equations arising from linear second-order elliptic PDE systems with constant coefficients, including, e.g. linear elasticity. We introduce a general framework for optimal convergence of adaptive Galerkin BEM. We identify certain abstract conditions for the underlying meshes, the corresponding mesh-refinement strategy, and the ansatz spaces that guarantee that the weighted-residual error estimator is reliable and converges at optimal algebraic rate if used within an adaptive algorithm. These conditions are satisfied, e.g. for discontinuous piecewise polynomials on simplicial meshes as well as certain ansatz spaces used for isogeometric analysis. Technical contributions include the localization of (non-local) fractional Sobolev norms and local inverse estimates for the (non-local) boundary integral operators associated to the PDE system.

关键词： Boundary element method a posteriorierror estimates adaptive algorithm optimal convergence inverse estimates

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An adaptive Damped Rank-Reduction Method for 3D Seismic Data Denoising 11

An Adaptive Damped Rank-Reduction Method for 3D Seismic Data...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Zhao, Nan Fu, Hongsun Li, Chenyu School of Science Dalian Maritime University Liaoning Dalian China

ISBN: (纸本)9798350333664

Random noise suppression is a significant step and plays an important role in seismic data processing. Researchers have developed many methods to attenuate random noise in the past decades and rank-reduction method is one of them. In recent years, with many benefits such as stable denoising performance, rank-reduction method is becoming prevalent in seismic denoising algorithms. In this paper, we put forward an adaptive damped rank-reduction method for seismic denoising. This method is an enhanced version of multichannel singular spectrum analysis (MSSA) algorithm. We first introduce a damping factor to suppress random noise, which operates the truncated singular value decomposition (TSVD) on Hankel matrices. Then, we derive a novel adaptive method of rank selection by finding the maximum of difference of energy intensities between two consecutive singular values. We verify the efficiency and competitiveness of the new method via applying it to a simple synthetic example with linear events and a complex synthetic example containing highly curved events. The proposed method is compared with other existing seismic denoising algorithms. By comparing the results on two synthetic examples, we come to the conclusion that our method acquires significant effects on attenuating random noise and recovering the useful signal structure. © 2023 IEEE.

关键词： adaptive algorithm MSSA rank-reduction seismic data denoising

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Topology Identification in Distribution Network Based on μPMU Phase Data 5

Topology Identification in Distribution Network Based on μP...

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Dai, Yuxin Lai, Xuanda Yao, Wujiapin Lu, Xiaoyi Zheng, Tao Xi'an Jiaotong University School of Electrical Engineering Xi'an China

ISBN: (纸本)9798350339673

Fast and accurate topology identification is an important basis for the stable and safe operation of power grids. With the increasing complexity and uncertainty of the distribution network, the topology changes more frequently. Aiming at the problems that the existing topology identification methods have poor real-time performance and are susceptible to external interference, this paper proposes an adaptive topology identification method for distribution networks. The topology similarity is calculated and fed back to the algorithm parameters in real time, and a topology identification optimization model is established to complete the topology identification. The effectiveness of the algorithm is verified on the test case of double-petal ring network. © 2023 IEEE.

关键词： adaptive algorithm global optimum topological similarity topology identification

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Lightweighted FPGA Implementation of Even-Odd-Buffered Active Noise Canceller with On-Chip Convolution Acceleration Units

Lightweighted FPGA Implementation of Even-Odd-Buffered Activ...

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2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

作者： Park, Seunghyun Park, Daejin Kyungpook National University School of Electronic and Electrical Engineering Korea Republic of

ISBN: (纸本)9798350320213

To make the acoustic signal that was processed by the noise canceller sound more natural for users [1]-[3], the delay in anti-noise generation should be reduced. For a single buffer, processing delay occurrs because it is impossible to write input signals while the processor is processing the data. when interfering with anti-noise and output signal, this processing delay creates additional buffering overhead to match the phase. The processing delay can be minimized using an Even-/Odd-buffer Structure to alternately read and write operations. In addition, the differences between the two methods of noise cancellation (FFT-based noise cancellation and adaptive algorithm) are compared in terms of output signal quality, processing time, and power consumption. As a result, using an Even-/Odd-buffer, reduced the processing delay of a single buffer. The FFT-based noise canceling method experienced fewer errors than the adaptive noise canceling method. © 2023 IEEE.

关键词： adaptive algorithm Even-Odd-buffer FFT Noise cancelling

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On Tracking a Stochastically Time-Varying Subspace 48

On Tracking a Stochastically Time-Varying Subspace

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Solo, Victor University of New South Wales School of Electrical Engineering and Telecommunications Sydney Australia

ISBN: (纸本)9781728163277

Subspace tracking has a long and still growing list of applications with recent interest stimulated by the advent of 'streaming' data. Despite the considerable literature, all of it motivated by the desire to track time varying subspaces, there seems to be almost no analysis of that time varying problem. Rather existing analyses assume the subspace is fixed. Here, for the first time we develop a true subspace tracking analysis in continuous time. It turns out to be a very hard problem and so we tackle the problem of a rank 1 subspace. © 2023 IEEE.

关键词： adaptive algorithm averaging analysis streaming data subspace

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Free Chattering Sliding Mode Control with adaptive algorithm for Ground Moving Target Tracking 2

Free Chattering Sliding Mode Control with Adaptive Algorithm...

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2nd RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)

作者： Modirrousta, Alireza Sohrab, Mohsen Dehghan, Seyed Mohammad Mehdi Space Res Inst Tehran Iran

ISBN: (纸本)9781479967438

In this paper a free chattering sliding mode is proposed to generate the guidance law, in order to achieve the tracking of the ground moving target while an adaptive method is improved to deal with uncertainty. Sliding mode control is low sensitivity to planet parameter variations and uncertainties which eliminates the necessity of exact modeling. One of the major advantages of the proposed controller lies that its implementation only requires online estimation without the knowledge of bounds on system uncertainties. At first, the error dynamic of the tracking problem is described based on the range between unmanned aerial vehicle and ground moving target. Then, the nonlinear guidance law is proposed based on adaptive second order sliding mode control to achieve robustness, invariance and finite time tracking, and the chattering effect has been eliminated. adaptive estimation is used to improve the command state generation and deal with the uncertainty of the target estimation. Closed loop stability is proved via Lyapunov analysis. Moreover, the accurate tracking of the target state has been achieved in the presence of the uncertainty which has been demonstrated in the simulation section.

关键词： ground moving target unmanned aerial vehicle sliding mode control adaptive algorithm

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