Smart Generation and Transmission With Coherent, Real-Time Data

Bakken, David E.; Bose, Anjan; Hauser, Carl; Whitehead, David E.; Zweigle, Greg

doi:10.1109/jproc.2011.2116110

Cited by 155 publications

(111 citation statements)

References 62 publications

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“…The probability color code is red if the pattern occurred very often, green if the pattern appears only sporadically, and black if the pattern is not present. Note that for the current selection (blue horizontal lines in columns 1, 2, 3, 5), we see that there is only one possible occurring pattern for the remaining query sample columns (4,6,7,8). Figure 12 is just a very simple demonstration example.…”

Section: Exploration and Interpretationmentioning

confidence: 95%

“…In order to ensure quality and reliability of the supply, the awareness of the state of the system components is necessary. Distributed and synchronized voltage measurements will be a prerequisite for advanced control possibilities [6][7][8]. However, if these measurements reflect the energy consumption or production billing information, they are subject to privacy protection.…”

Section: Introductionmentioning

confidence: 99%

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Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Maaß

Çakmak

Bach

et al. 2015

EURASIP J. Adv. Signal Process.

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Power networks will change from a rigid hierarchic architecture to dynamic interconnected smart grids. In traditional power grids, the frequency is the controlled quantity to maintain supply and load power balance. Thereby, high rotating mass inertia ensures for stability. In the future, system stability will have to rely more on real-time measurements and sophisticated control, especially when integrating fluctuating renewable power sources or high-load consumers like electrical vehicles to the low-voltage distribution grid. In the present contribution, we describe a data processing network for the in-house developed low-voltage, high-rate measurement devices called electrical data recorder (EDR). These capture units are capable of sending the full high-rate acquisition data for permanent storage in a large-scale database. The EDR network is specifically designed to serve for reliable and secured transport of large data, live performance monitoring, and deep data mining. We integrate dedicated different interfaces for statistical evaluation, big data queries, comparative analysis, and data integrity tests in order to provide a wide range of useful post-processing methods for smart grid analysis. We implemented the developed EDR network architecture for high-rate measurement data processing and management at different locations in the power grid of our Institute. The system runs stable and successfully collects data since several years. The results of the implemented evaluation functionalities show the feasibility of the implemented methods for signal processing, in view of enhanced smart grid operation.

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Section: Exploration and Interpretationmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Maaß

Çakmak

Bach

et al. 2015

EURASIP J. Adv. Signal Process.

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“…It was introduced as a result of blackout in northeastern USA and southeastern Canada in 1965 [19]. SCADA takes only 2 to 4 samples/second compared to a Phasor Measurement Unit (PMU), which takes up to 60 samples/ second.…”

Section: Data Acquisition and Control Networkmentioning

confidence: 99%

Integration of Solar and Wind Power to a Borneo-Wide Power Grid

Maaji¹,

Khan²,

Haldar³

et al. 2013

IJESD

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“…Although there have been important efforts for development PMU-data based applications in North America [18], it has been recognized that the great potential of WAMPAC systems to provide real-time data with synchronized and accurate time-stamping is being limited by the slow rate of inception of new applications [9] that can effectively harvest data and use it for monitoring, protection, and control purposes. There are many factors limiting the development of these applications, one of these aspects is that the necessary supporting infrastructure required to collect, process and transport coherent real-time data that can meet application requirements needs to be developed to support a different number of applications [19]. On the other hand, the determination of specific application requirements is difficult to determine for applications that have not even been envi-sioned [9], [19].…”

Section: A Need For Development Of Pmu-based Applicationsmentioning

confidence: 99%

SmarTS Lab — A laboratory for developing applications for WAMPAC Systems

Vanfretti

Chenine

Almas

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-At the core of the development of "Smart Transmission Grids" is the design, implementation, and testing of synchronized phasor measurement data applications that can supplement Wide-Area Monitoring, Protection, and Control Systems (WAMPAC). Nevertheless, the development of new PMU data-based WAMPAC applications has been relatively slow. The great potential of WAMPAC systems is being limited by this, and efforts are needed so that new applications can be developed. The slow rate of development of these applications is strongly related to, among other factors, the application development approach used. This article starts by discussing the needs and approaches for developing WAMPAC applications that exploit synchronized phasor measurements, and illustrates how one of these approaches has been achieved. A preliminary work carried out to develop and implement a Smart Transmission System Laboratory (SmarTS Lab), a hardware and softwarebased system for developing and analyzing "Smart Transmission Grids" paradigms and applications for WAMPAC systems, are described. The laboratory's conceptual architecture and hardware and software implementation are presented, and some of its components are described. Finally, the article illustrates proofof-concept examples of how PMU data-based applications can be developed.

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Smart Generation and Transmission With Coherent, Real-Time Data

Cited by 155 publications

References 62 publications

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Integration of Solar and Wind Power to a Borneo-Wide Power Grid

SmarTS Lab — A laboratory for developing applications for WAMPAC Systems

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Smart Generation and Transmission With Coherent, Real-Time Data

Cited by 155 publications

References 62 publications

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Integration of Solar and Wind Power to a Borneo-Wide Power Grid

SmarTS Lab &#x2014; A laboratory for developing applications for WAMPAC Systems

Contact Info

Product

Resources

About

SmarTS Lab — A laboratory for developing applications for WAMPAC Systems