The OpenPMU Platform for Open-Source Phasor Measurements

Laverty, David; Best, Robert; Brogan, Paul; Khatib, Iyad Al; Vanfretti, Luigi; Morrow, D. John

doi:10.1109/tim.2013.2240920

Cited by 125 publications

(72 citation statements)

References 24 publications

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“…Free and Open Science Hardware projects span a wide range of scientific disciplines with an incredible variety of tools, including: colorimeters (Anzalone et al, 2013a), photometric systems for enzymatic nitrate quantification (Wittbrodt, et al, 2015), nephelometers (Wijnen et al 2014a) and turbidimeters (Kelly et al, 2014), liquid auto-samplers (Carvalho and Eyre, 2013), microfluid handlers (Da Costa, et al, 2014), biotechnological and chemical labware (Lucking et al, 2014;Gross et al, 2014;Su et al, 2014), mass spectroscopy equipment (Malonado-Torres et al, 2014;Chiu and Urban, 2015), automated sensing arrays (Wittbrodt, et al 2014), phasor measurement units (Laverty et al, 2013), syringe pumps (Wijnen et al, 2014b), optics and optical system components (Zhang et al, 2013), DNA nanotechnology lab tools (Damase et al, 2015), outdoor monitoring (Pearce, et al, 2012;Chemin et al, 2014) and compatible components for plasma physics labs (Zwicker et al, 2015) and medical apparatuses like magnetic resonance imaging systems (Hermann et al, 2014).…”

Section: Background: the Rise Of Free And Open Source Scientific Hardmentioning

confidence: 99%

Emerging Business Models for Open Source Hardware

Pearce

2017

Journal of Open Hardware

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The rise of Free and Open Source models for software development has catalyzed the growth of Free and Open Source hardware (also known as "Libre Hardware"). Libre Hardware is gaining significant traction in the scientific hardware community, where there is evidence that open development creates both technically superior and far less expensive scientific equipment than proprietary models. In this article, the evidence is reviewed and a collection of examples of business models is developed to service scientists who have the option to manufacture their own equipment using Open Source designs. Profitable Libre Hardware business models are reviewed, which includes kit, specialty component, and calibration suppliers for makers. The results indicate that Libre Hardware businesses should target technically sophisticated customers first and, as usability matures, target expanded markets of conventional consumers.

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Section: Background: the Rise Of Free And Open Source Scientific Hardmentioning

confidence: 99%

Emerging Business Models for Open Source Hardware

Pearce

2017

Journal of Open Hardware

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“…Every of these measurements are tagged with a time reference provided by a Global Positioning System (GPS) for synchronization [17]. PMUs provide output data in a protocol previously established in a rate of sampling within a range of 20-120 frames per second [2]. Figure 2 shows the basic architecture of a PMU.…”

Section: Phasorial Measurement Unit (Pmu)mentioning

confidence: 99%

Design and implementation of a real‐time monitoring tool for power engineering education

Rocha-Doria

Mosquera-Arevalo

Angeles‐Camacho

et al. 2017

Comp Applic In Engineering

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This article reports on the implementation of a real-time monitoring system in a laboratory test grid based on synchrophasorial measurement units. The system consists of the installation of different types of units for monitoring the electrical parameters of the network. The information is transmitted to a power data concentrator equipment, through a local area network under TCP/IP protocol. All the information received is properly processed and systematically stored for future use. A graphical application was developed to visualize the information in real-time or to perform off-line power analyses. The functionality of the monitoring system was verified on several test grids and is used for teaching and research for both undergraduate and postgraduate students in the power electronics laboratory at the Engineering Institute of the Universidad Nacional Autónoma de México. K E Y W O R D Sdatabase, phasorial data concentrator, phasorial measurement unit, synchrophasorial | INTRODUCTIONThe constant growth of the energy system infrastructure in response to the development of the different economic sectors (industry, transportation, trade, among others) demands a greater reliability on the daily operation of electric energy systems. This implies the application of new technologies to guarantee reliability in the operation of energy networks in the face of technical and operational problems or natural phenomena. Failure to achieve this objective can lead to cascading falls and system outages, resulting in a serious, negative impact on a country's economy [3,10].For this reason, the industrial sector has dedicated huge efforts to the development of technology and more efficient systems that allow a real-time monitoring of power systems. These technologies have been shown to improve both, the reliability and the energy quality of the system. At present, one of the available solutions is the implementation of synchrophasors or phasor measurement systems, composed of several Phasor Measurement Units (PMUs), distributed throughout power systems, which supply the measurements of voltage, current, frequency and the frequency's derivative, among others. Phasorial data concentrators (PDCs) are used to store a power system's measurements needed by the applications to perform analysis in real-time, on-line, or offline afterwards [13]. Currently, universities, industry and government have made many efforts to develop and implement applications over the power main by using synchrophasor technology [1,[6][7][8][9]11,[14][15][16].In this paper, the main components of the real-time monitoring system based on synchrophasor technology called PDC UNAM-UD are presented. The name stand for Phasorial Data Concentrators, Universidad Nacional Autónoma de México-Universidad Distrital. Several applications wereComput Appl Eng Educ. 2018;26:37-48.wileyonlinelibrary.com/cae

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“…The framework comprises distributed agents (synchrophasors) for autonomous local condition monitoring and fault detection, and a central unit for generating global view for situation awareness and decision making. The local agent PMUs, which have been deployed by Laverty et al [10] in the system of British/Irish utility networks, were developed and manufactured in conjunction with the Open PMU project in Queen's University of Belfast (QUB) [11] [12] and Scottish & Southern Energy. An overview of the proposed approach in a physical interpretation is given in Figure 1.…”

Section: Synchrophasor Based Loss-of-main Detection Frameworkmentioning

confidence: 99%

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

Guo¹,

Li²,

Laverty³

2014

JPEE

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In this paper, our previous work on Principal Component Analysis (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor measurements. In the previous work, a static PCA model was built and verified to be capable of detecting and extracting system faulty events; however the false alarm rate is high. To address this problem, this paper uses a well-known 'time lag shift' method to include dynamic behavior of the PCA model based on the synchronized measurements from Phasor Measurement Units (PMU), which is named as the Dynamic Principal Component Analysis (DPCA). Compared with the static PCA approach as well as the traditional passive mechanisms of loss-of-main detection, the proposed DPCA procedure describes how the synchrophasors are linearly auto-and cross-correlated, based on conducting the singular value decomposition on the augmented time lagged synchrophasor matrix. Similar to the static PCA method, two statistics, namely T 2 and Q with confidence limits are calculated to form intuitive charts for engineers or operators to monitor the loss-of-main situation in real time. The effectiveness of the proposed methodology is evaluated on the loss-of-main monitoring of a real system, where the historic data are recorded from PMUs installed in several locations in the UK/Ireland power system.

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The OpenPMU Platform for Open-Source Phasor Measurements

Cited by 125 publications

References 24 publications

Emerging Business Models for Open Source Hardware

Emerging Business Models for Open Source Hardware

Design and implementation of a real‐time monitoring tool for power engineering education

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

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