Wide Area Monitoring through Synchrophasor Measurement

Li, Fangxing; Liu, Yong; Zhang, Ye; Guo, Jiahui; Zhou, Dao

doi:10.1002/9781118755471.sgd029

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…However, with the development of filtering techniques [27][28][29], the noise introduced in signals can be largely mitigated. In addition, most signal-sending devices in power systems, such as Phasor Measurement Units (PMUs), are already equipped with proper filters [30]. In this context, the application of D-term-based delay compensation schemes becomes a feasible solution.…”

Section: D-term-based Delay Compensationmentioning

confidence: 99%

Model-Independent Derivative Control Delay Compensation Methods for Power Systems

Liu¹,

Dassios²,

Tzounas³

et al. 2020

Energies

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The paper examines the effectiveness of utilizing the derivatives of time delayed, wide-area signals in mitigating their destabilizing impact on power system dynamic response. In particular, the paper discusses two derivative control-based delay compensation methods, namely proportional-derivative (PD) and predictor-based delay compensation. The two methods are compared in terms of their open-loop signal fidelity and their impact on the closed-loop system stability. The paper also provides a technique to carry out small-signal stability analysis with inclusion of derivative control based compensation, which leads to a Neutral Time-Delay System (NTDS). In addition, we provide a new theorem on the stability of the NTDS. Finally, nonlinear time domain simulations and eigenvalue analysis based on the IEEE 14-bus and New England 39-bus systems were carried out for the sake of comparison of the two delay compensation methods.

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Section: D-term-based Delay Compensationmentioning

confidence: 99%

Model-Independent Derivative Control Delay Compensation Methods for Power Systems

Liu¹,

Dassios²,

Tzounas³

et al. 2020

Energies

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“…Wide area measurement system (WAMS) uses synchronous phase angle measurement technology to realize real-time and high-speed acquisition of synchronous phase angle and main data of power network by gradually laying out synchronous phase angle measurement unit (PMU) of key measuring points in the whole network. PMU can ensure the synchronization of the whole network data through the global positioning system (GPS) [12]. Timing information and data are stored and sent to the main station at the same time.…”

Section: A Real-time Control Technologymentioning

confidence: 99%

Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

Huang

Sun

et al. 2019

IEEE Access

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Mobile computing adds computing, storage, processing and other functions in wireless network ends to provide customized and differentiated services, so that it can be widely applied in the fields of internet of things, video, medical treatment, retail and so on. Recently, power spatio-temporal big data (PSTBD) technology of smart grid based on mobile computing has experienced explosive growth. This paper emphasizes the specific requirements, technologies, applications, and challenges of the current PSTBD for mobile computing in smart grid. Based on current development status of PSTBD companies in representative countries in the world, we introduce PSTBD technology based on the characteristics of mobile computing based smart grid, and conduct a comprehensive investigation and analysis of relevant articles in this field. After comparing the differences between the traditional and the PSTBD based platform in the aspects of important features, platform goal, and platform architecture, we describe the key technologies and algorithms of the current PSTBD in detail. Then, based on the requirements of each link and field of the power grid, the typical application of PSTBD technology in various aspects of smart grid application based on mobile computing is discussed. Finally, the development direction and challenges of PSTBD are given. Through data analysis and technical discussion, it hopes to provide technical support and decision support for relevant practitioners in the PSTBD field.INDEX TERMS Mobile computing, data processing, smart grids, spatio-temporal big data. I. INTRODUCTIONPower spatio-temporal big data based on mobile computing refers to ''power+mobile equipment+big data'', which collects and processes multi-source, heterogeneous, multi-dimensional and multi-form spatio-temporal big data in various links from generation, transmission, transformation, distribution, power consumption to dispatching power production and power service. The characteristics of Power Spatio-Temporal Big Data (PSTBD) meet the ''5V3E'' characteristics [4]-[6], as shown in Fig. 1. In addition to ''3E''The associate editor coordinating the review of this manuscript and approving it for publication was Xuxun Liu .which is energy, exchange, and empathy, the ''5V'' is as follows.Volume: Conventional power dispatching system includes hundreds of thousands of data collection points; the number of power distribution data centers often reaches tens of millions; data volume is often above TB and PB.Velocity: Decision support requires analysis of large amounts of data in a fraction of a second; real-time processing requires continuous real-time data generation.Variety: Data types are structured, semi-structured, and unstructured data, including real-time data, historical data, text data, multimedia data, time-series data and so on.

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Application of optical scanning system to determine the machining allowances

2017

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Abstract. The paper contains a description of replacing a process of marking-out iron casts with 3D scanning operation and the profits it implies. It presents some of the available scanning methods which is a part of surface metrology. The paper includes a description of scanning operation using structured light method and all information necessary to perform such operation, from the equipment construction up to creation of a report for the CNC machinist.

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Wide Area Monitoring through Synchrophasor Measurement

Cited by 5 publications

References 31 publications

Model-Independent Derivative Control Delay Compensation Methods for Power Systems

Model-Independent Derivative Control Delay Compensation Methods for Power Systems

Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

Application of optical scanning system to determine the machining allowances

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