One year high rate low voltage recording - Devices, methods and results

Maaß, H.; Çakmak, Hüseyin; Bach, Felix; Kühnapfel, Uwe

doi:10.1109/amps.2013.6656228

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…Currently, two EDR devices are installed at one bus of the low voltage distribution network at our institute. Since almost two years we continuously collect the data and improve the software [5].…”

Section: Introductionmentioning

confidence: 99%

Preparing the electrical data recorder for comparative power network measurements

Maaß

Çakmak

Bach

et al. 2014

2014 IEEE International Energy Conference (ENERGYCON)

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As the power system management currently advances from rigid to flexible, highly sophisticated monitoring and control is required in the future. By developing the Electrical Data Recorder (EDR) and preparing the device for comparative tests in low voltage power network at multiple locations we intend to contribute to a more detailed analysis and to provide a fundamental database for simulation and investigation. Using EDR devices, high rate captures of low voltage time series are acquired synchronously and are stored in a central large database without any information reduction. We performed extensive tests according to the IEC 61000-4-30 standard in order to assure the comparability of the measured values. Special attention was paid to the synchronization for achieving temporal coincidence of values measured at different locations. We developed methods for large scale data storage and interfaces for 3 rd party simulation packages. In this paper we present the preparation of the device and the test procedures as well as the results. We report on the methods we already provide for data management and analysis. We conclude that the EDR provides sufficient accuracy and precision for comparative tests; our data storage and retrieval methods are fast and reliable; and we did not find 3 rd party simulation tools appropriate for our needs, yet. However, the measurement system is ready for productive use in the low voltage supply grid.

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Section: Introductionmentioning

confidence: 99%

Preparing the electrical data recorder for comparative power network measurements

Maaß

Çakmak

Bach

et al. 2014

2014 IEEE International Energy Conference (ENERGYCON)

Self Cite

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“…However, both of these works leave out the implementation details and provide no evaluation of their methodology or results. The work [19], [20] uses the Hadoop HDFS (Hadoop distributed file system) for storing data and Pig scripting language for simple statistical calculations. The main focus of both works is to compare the performance of the Hadoop distributed processing with the Multi Core system.…”

Section: Overview Of Hpc and Big Data Analyticsmentioning

confidence: 99%

Parallel Detrended Fluctuation Analysis for Fast Event Detection on Massive PMU Data

Khan

Ashton

et al. 2015

IEEE Trans. Smart Grid

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Abstract-Phasor Measurement Units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronised measurements. The devices high data reporting rates present major computational challenges, in the requirement to process potentially massive volumes of data, in addition to new issues surrounding data storage. Fast algorithms capable of processing massive volumes of data are now required in the field of power systems. This paper presents PDFA, a parallel detrended fluctuation analysis approach for fast event detection on massive volumes of PMU data, taking advantage of a cluster computing platform. The PDFA algorithm is evaluated using data from installed PMUs on the transmission system of Great Britain, from the aspects of speedup, scalability and accuracy. The speedup of the PDFA in computation is initially analysed through Amdahl's Law, a revision to the law is then proposed, suggesting enhancements to its capability to analyse the performance gain in computation when parallelizing data intensive applications in a cluster computing environment.

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“…The EDR capturing device provides both, the full acquired waveform data and the extracted electrical characteristics like frequency, phase, effective values, and harmonics [20]. A short overview is given in sub-chapter 2.1 together with a description of the data processing.…”

Section: Edr Acquisition Systemmentioning

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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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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One year high rate low voltage recording - Devices, methods and results

Cited by 3 publications

References 9 publications

Preparing the electrical data recorder for comparative power network measurements

Preparing the electrical data recorder for comparative power network measurements

Parallel Detrended Fluctuation Analysis for Fast Event Detection on Massive PMU Data

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

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