Introducing a new voltage time series approach for electrical power grid analysis

Maaß, H.; Çakmak, Hüseyin; Suess, Wolfgang; Quinte, Alexander; Jakob, Wilfried; Müller, Emmanuel; Boehm, Klemens; Stucky, Karl-Uwe; Kuehnapfel, Uwe G.

doi:10.1109/energycon.2012.6348277

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Especially if power flow measurements are concerned, individual property rights apply and the data are subject to privacy protection. Therefore, we developed the Electrical Data Recorder (EDR) to be capable of capturing and storing synchronized time series at high rate [9]. The recorder system consists of the acquisition hardware and the EDR software package for data preprocessing and transfer.…”

Section: Electrical Data Recordermentioning

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: Electrical Data Recordermentioning

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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“…It will be time consuming to transmit the correction signals to all smart meters, particularly when traffic congestions happen. At present, a GPS strategy has been applied to maintain the clocks in Phasor Measurement Units (PMUs), which leads to a ±1µs accuracy [9]. However, adopting the advanced strategy for smart meters will incur far more costs.…”

Section: Introductionmentioning

confidence: 99%

Inferring low voltage transformer state using only Smart Metering data

Chen

Kaleshi

Fan

2013

IEEE PES ISGT Europe 2013

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Previous works on Distribution State Estimation (DSE) utilizing Smart Metering (SM) data assume the availability of sufficient measurements from distributed generators and Low Voltage (LV) transformers as well. However, both distributed generators and LV transformers are seldom equipped with advanced meters due to the high expenses. This paper investigates how DSE is performed using only SM data when inferring the states at LV transformers. SM data usually is captured synchronously but reported over a given time interval. The impact of the errors introduced by non-perfect meter clock synchronisation is analysed using real SM data, and is confirmed to be not significant. The experimental results further show the possibility of using SM data alone to characterize the states at LV transformers.

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“…Arbitrary data formats are handled with minimal configuration effort. First issues on GDS have been introduced in [18] and [19]. In Figure 6, the data flow in the GDS storage access is drawn schematically.…”

Section: Gds Storage and Retrievalmentioning

confidence: 99%

“…In contrast to this, we intend to make the full high-rate captured transient data permanently available for research and evaluation. We assume valuable information in the transient waveform in addition to the extracted electrical characteristic values [18]. Highfrequency disturbances like transient oscillations or switching processes are only visible in the full waveform.…”

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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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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Introducing a new voltage time series approach for electrical power grid analysis

Cited by 5 publications

References 8 publications

Preparing the electrical data recorder for comparative power network measurements

Preparing the electrical data recorder for comparative power network measurements

Inferring low voltage transformer state using only Smart Metering data

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

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