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Curvature Quantified Douglas-Peucker-based Phasor Measurement Unit data compression Method for Power System Situational Awareness

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Protection and Control of Modern Power Systems 2024年第2期9卷 128-137页

作者： Weitao Tan Tianhan Zhang Yuanqian Ma Shengyuan Liu Li Yang Zhenzhi Lin College of Electrical Engineering Zhejiang UniversityHangzhouChina Electrical Engineering and its Automation from Sichuan University ChengduChina Electrical Engineering from Shandong University JinanChina Electrical Engineering from Zhejiang University HangzhouChina College of Electrical Engineering Zhejiang UniversityHangzhou 310027China

Facing constraints imposed by storage and bandwidth limitations,the vast volume of phasor meas-urement unit(PMU)data collected by the wide-area measurement system(WAMS)for power systems cannot be fully *** limitation significantly hinders the effective deployment of situational awareness technologies for systematic *** this work,an effective curvature quantified Douglas-Peucker(CQDP)-based PMU data compression method is proposed for situational awareness of power ***,a curvature integrated distance(CID)for measuring the local flection and fluc-tuation of PMU signals is *** Doug-las-Peucker(DP)algorithm integrated with a quan-tile-based parameter adaptation scheme is then proposed to extract feature points for profiling the trends within the PMU *** allows adaptive adjustment of the al-gorithm parameters,so as to maintain the desired com-pression ratio and reconstruction accuracy as much as possible,irrespective of the power system ***-nally,case studies on the Western Electricity Coordinat-ing Council(WECC)179-bus system and the actual Guangdong power system are performed to verify the effectiveness of the proposed *** simulation results show that the proposed method achieves stably higher compression ratio and reconstruction accuracy in both steady state and in transients of the power system,and alleviates the compression performance degradation problem faced by existing compression *** Terms—Curvature quantified Douglas-Peucker,data compression,phasor measurement unit,power sys-tem situational awareness.

关键词： Curvature quantified Douglas-Peucker data compression phasor measurement unit power sys-tem situational awareness

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Real-time Synchrophasor data compression Technique with Phasor Interpolation and Extrapolation

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Journal of Modern Power Systems and Clean Energy 2023年第3期11卷 803-815页

作者： Fang Zhang Meiqian Liu Zixuan Zhang Jinghan He Wenzhong Gao School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China Department of Electrical and Computer Engineering University of DenverDenverColorado80208USA IEEE

To completely eliminate the time delays caused by phasor data compressions for real-time synchrophasor applications,a real-time synchrophasor data compression(RSDC)is proposed in this *** two-way rotation characteristic and elliptical trajectory of dynamic synchrophasors are introduced first to enhance the compressions along with a fast solving method for elliptical trajectory fitting *** RSDC for phasor data compression and reconstruction is then proposed by combining the interpolation and extrapolation *** proposed RSDC is verified by both the actual phasor measurement data recorded in a two-phase short-circuit incident and a subsynchronous oscillation incident,and the synthetic dynamic *** is also compared with two previous real-time phasor data compression techniques,i.e.,phasor swing door trending(PSDT)and exception and swing door trending(SDT)data compression(ESDC).The verification results demonstrate that RSDC can achieve significantly higher compression ratios for offline applications with the interpolation and the zero-delay phasor data compression with the extrapolation for real-time applications simultaneously.

关键词： data compression interpolation and extrapolation phasor measurement unit real-time compression wide-area measurement system

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The Faster Higher-Order Cellular Automaton for Hyper-Parallel Undistorted data compression

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Journal of Computer Science & Technology 2000年第2期15卷 126-135页

作者：顾静帅典勋 DepartmentofComputerScienceandTechnologyEastChinaUniversityofScienceandTechnology Changhai200237P.R.China StateKeyLaboratoryofIntelligenceTechnologyandSystemTsinghuauniversity

This paper defines second-order and third-order permutation global functions and presents the corresponding higher-order cellular automaton approach to the hyper-parallel undistorted data compression. The genetic algorithm is successfully devoted to finding out all the correct local compression rules for the higher-order cellular automaton. The correctness of the higher-order compression rules, the time complexity, and the systolic hardware implementation issue are discussed. In comparison with the first-order automaton method reported, the proposed higher-order approach has much faster compression speed with almost the same degree of cellular structure complexity for hardware implementation.

关键词： data compression genetic algorithm cellular automaton parallel processing

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A Study on Wavelet data compression of a Real-Time Monitoring System for Large Hydraulic Machines

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Journal of Computer Science & Technology 2001年第3期16卷 293-296页

作者：王海郑莉媛 Department of Power Engineering Huazhong University of Science & Technology Wahan P.R. China

The general concept of data compression consists in removing the redundancy existing in data to find a more compact representation. This paper is concerned with a new method of compression using the second generation wavelets based on the lifting scheme, which is a simple but powerful wavelet construction method. It has been proved by its successful application to a real-time monitoring system of large hydraulic machines that it is a promising compression method.

关键词： data compression lifting scheme second generation wavelets

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DPCM-based vibration sensor data compression and its effect on structural system identification

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Earthquake Engineering and Engineering Vibration 2005年第1期4卷 153-163页

作者：张云峰李健 Department of Civil & Environmental Engineering Lehigh University Bethlehem PA 18015 USAAssistantProfessor Department of Civil & Environmental Engineering Lehigh University Bethlehem PA 18015 USA Graduate Researcher

Due to the large scale and complexity of civil infrastructures, structural health monitoring typically requires a substantial number of sensors, which consequently generate huge volumes of sensor data. Innovative sensor data compression techniques are highly desired to facilitate efficient data storage and remote retrieval of sensor data. This paper presents a vibration sensor data compression algorithm based on the Differential Pulse Code Modulation (DPCM) method and the consideration of effects of signal distortion due to lossy data compression on structural system identification. The DPCM system concerned consists of two primary components: linear predictor and quantizer. For the DPCM system considered in this study, the Least Square method is used to derive the linear predictor coefficients and Jayant quantizer is used for scalar quantization. A 5-DOF model structure is used as the prototype structure in numerical study. Numerical simulation was carried out to study the performance of the proposed DPCM-based data compression algorithm as well as its effect on the accuracy of structural identification including modal parameters and second order structural parameters such as stiffness and damping coefficients. It is found that the DPCM-based sensor data compression method is capable of reducing the raw sensor data size to a significant extent while having a minor effect on the modal parameters as well as second order structural parameters identified from reconstructed sensor data.

关键词： data compression instrumentation linear predictor modal parameters sensor system identification vibration

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Sensor data compression based on MapReduce

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The Journal of China Universities of Posts and Telecommunications 2014年第1期21卷 60-66页

作者： YU Yu GUO Zhong-wen Department of Computer Science and Engineer Ocean University of China

A compression algorithm is proposed in this paper for reducing the size of sensor data. By using a dictionary-based lossless compression algorithm, sensor data can be compressed efficiently and interpreted without decompressing. The correlation between redundancy of sensor data and compression ratio is explored. Further, a parallel compression algorithm based on MapReduce [1] is proposed. Meanwhile, data partitioner which plays an important role in performance of MapReduce application is discussed along with performance evaluation criteria proposed in this paper. Experiments demonstrate that random sampler is suitable for highly redundant sensor data and the proposed compression algorithms can compress those highly redundant sensor data efficiently.

关键词： data compression sensor data MapReduce surveillance application measurement system

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DAMPE silicon tracker on-board data compression algorithm

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Chinese Physics C 2015年第11期39卷 81-86页

作者：董亦凡张飞乔锐彭文溪樊瑞睿龚轲吴帝王焕玉 Key Laboratory of Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences University of Chinese Academy of Sciences

The Dark Matter Particle Explorer（DAMPE） is an upcoming scientific satellite mission for high energy gamma-ray, electron and cosmic ray detection. The silicon tracker（STK） is a subdetector of the DAMPE *** has excellent position resolution（readout pitch of 242 μm）, and measures the incident direction of particles as well as charge. The STK consists of 12 layers of Silicon Micro-strip Detector（SMD）, equivalent to a total silicon area of6.5 m2. The total number of readout channels of the STK is 73728, which leads to a huge amount of raw data to be processed. In this paper, we focus on the on-board data compression algorithm and procedure in the STK, and show the results of initial verification by cosmic-ray measurements.

关键词： silicon tracker silicon micro-strip detector data compression

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Sea Route Monitoring System Using Wireless Sensor Network Based on the data compression Algorithm

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China Communications 2014年第A01期11卷 179-186页

作者： LI Yang ZHANG Zhongshan HUANGFU Wei CHAI Xiaomeng ZHU Xinpeng ZHU Hongliang BeijingEngineeringandTechnologyResearchCenterforConvergenceNetworksandUbiquitousServices SchoolofComputerandCommunicationEngineeringUniversityofScienceandTechnologyBeijingChina InformationSecurityCenter BeijingUniversityofPostsandTelecommunicationsBeijingChina

The wireless sensor network （WSN） plays an important role in monitoring the environment near the harbor in order to make the ships nearby out of dangers and to optimize the utilization of limited sea routes. Based on the historical data collected by the buoys with sensing capacities, a novel data compression algorithm called adaptive time piecewise constant vector quantization （ATPCVQ） is proposed to utilize the principal components. The proposed system is capable of lowering the budget of wireless communication and enhancing the lifetime of sensor nodes subject to the constrain of data precision. Furthermore, the proposed algorithm is verified by using the practical data in Qinhuangdao Port of China.

关键词： wireless sensor network sea route monitoring data compression principal component analysis

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A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on data compression

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Computers, Materials & Continua 2020年第9期64卷 2013-2030页

作者： Lejun Zhang Xiaoyan Hu Zhijie Zhang Weizheng Wang Tianwen Huang Donghai Guan Chunhui Zhao Seokhoon Kim College of Information Engineering Yangzhou UniversityYangzhou225127China Division of Computer Science University of AizuAizu-Wakamatsu9658580Japan College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing211106China College of Information and Communication Engineering Harbin Engineering UniversityHarbin150001China Department of Computer Software Engineering Soonchunhyang UniversityAsanKorea

Covert channel of the packet ordering is a hot research *** technology is not enough to protect the security of both sides of *** channel needs to hide the transmission data and protect content of *** traditional methods are usually to use proxy technology such as tor anonymous tracking technology to achieve hiding from the ***,because the establishment of proxy communication needs to consume traffic,the communication capacity will be reduced,and in recent years,the tor technology often has vulnerabilities that led to the leakage of secret *** this paper,the covert channel model of the packet ordering is applied into the distributed system,and a distributed covert channel of the packet ordering enhancement model based on data compression(DCCPOEDC)is *** data compression algorithms are used to reduce the amount of data and transmission *** distributed system and data compression algorithms can weaken the hidden statistical probability of ***,they can enhance the unknowability of the data and weaken the time distribution characteristics of the data *** paper selected a compression algorithm suitable for DCCPOEDC and analyzed DCCPOEDC from anonymity,transmission efficiency,and transmission *** to the analysis results,it can be seen that DCCPOEDC optimizes the covert channel of the packet ordering,which saves the transmission time and improves the concealment compared with the original covert channel.

关键词： Covert channels information hiding data compression distributed system

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RESEARCH ON ADAPTIVE data compression METHOD FOR TRIANGULATED SURFACES

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Chinese Journal of Mechanical Engineering 2004年第2期17卷 189-192页

作者： Wang Wen Wu Shixiong Chen Zichen Department of Mechanical Engineering,Zhejiang University,Hangzhou 310027, China Department of Mechanical Engineering Zhejiang University Hangzhou 310027 China

NC code or STL file can be generated directly from measuring data in a fastreverse-engineering mode. Compressing the massive data from laser scanner is the key of the newmode. An adaptive compression method based on triangulated-surfaces model is put ***-vector angles between triangles are computed to find prime vertices for removal. Ring datastructure is adopted to save massive data effectively. It allows the efficient retrieval of allneighboring vertices and triangles of a given vertices. To avoid long and thin triangles, a newre-triangulation approach based on normalized minimum-vertex-distance is proposed, in which thevertex distance and interior angle of triangle are considered. Results indicate that the compressionmethod has high efficiency and can get reliable precision. The method can be applied in fastreverse engineering to acquire an optimal subset of the original massive data.

关键词： data compression Reverse engineering Triangulated surfaces

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