Proceedings Article10.1109/INCET49848.2020.9154089
Machine Learning Based Synchrophasor Data Analysis for Islanding Detection
Gayathry,Mini Sujith +1 more
- 05 Jun 2020
- pp 1-6
15
TL;DR: A method to detect unintentional islanding using machine learning technique on PMU data is presented and results show very good accuracy on test data.
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Abstract: Twentieth century has witnessed a tremendous growth in the share of renewable resources in the power grid. Along with the various benefits, this has also raised several technical challenges as well as concerns in system operation, control and protection. These concerns have led to the introduction of advanced metering and protection equipments such as Phasor Measurement Units (PMUs). The highly sampled ‘Big Data’ recorded by PMUs contain significant information about the health of the system. Efficient and timely analysis of this data can address most of the power system concerns such as voltage stability, power system modeling, fault event monitoring, unintentional islanding, state estimation etc. This paper presents a method to detect unintentional islanding using machine learning technique on PMU data. A grid connected PV system is simulated in SIMULINK for data generation. Machine Learning algorithm is adapted to train and further test the data. The results show very good accuracy on test data.
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References
An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current
Sung-Il Jang,Kwang Ho Kim +1 more
TL;DR: In this article, the authors proposed two new parameters for detecting islanding operation of distributed generation units: voltage unbalance and total harmonic distortion of current, which can effectively detect the islanding conditions and swiftly disconnect DG from distribution network.
613
Islanding Detection for Inverter-Based Distributed Generation Using Support Vector Machine Method
TL;DR: The robustness of the proposed method is analyzed by examining its performances in the systems with multiple distributed generations, and when system loading condition, grid disturbance types, and characteristics are altered.
184
Active ROCOF Relay for Islanding Detection
TL;DR: In this article, the effect of active islanding detection on the performance of ROCOF relays has been investigated for an inverter-based distributed generation (DG) and an algorithm along with the new threshold settings to enable it to operate inside the nondetection zone (NDZ) of the conventional frequency relays is proposed.
183
A big data framework for intrusion detection in smart grids using apache spark
K Vimalkumar,N. Radhika +1 more
- 01 Sep 2017
TL;DR: A big data framework is designed using various machine learning techniques, and intrusions are detected based on the classifications applied on the synchrophasor dataset, and the results are compared using metrics of accuracy, recall, false rate, specificity, and prediction time.
83
Wide Area System Islanding Contingency Detecting and Warning Scheme
Rui Sun,Virgilio A. Centeno +1 more
TL;DR: In this paper, an intelligent decision tree algorithm for islanding detection and identification with the aid of an islanding database made of islanding simulations, real world islanding records, and system geographical/topology information is introduced.
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