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Fault Location in Distribution Network Based on Phasor Measurement Units (PMU)

Abstract

Nowadays, phasor measurement units have many applications in the power network. Fault location using the network’s impedance matrix and phasor measurement units (PMU) is a subject that has been recently brought to the location light. In this research, we review the effect of the increased number of PMUs on the precision of the fault location. The method presented in this study uses the impedance transferring between these units and the fault location based on the fault distance. In the suggested method, the uncertainty on the network’s parameters has been considered and using the least-squares of faults, we can obtain the most optimal response. The advantage of this method is that it is not affected by the fault type and resistance of the short connection. In the end, the suggested method is implemented on the 14 bus distribution network and its performance has been evaluated.

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A Synchrophasor Assisted Hybrid State Estimator

] MONTICELLI, A. : State Estimation in Electric Power Sys- tems: A Generalized Approach, Kluwer Academic Publishers, Massachusetts, 1999. [5] PHADKE, A.-THORP, J. : Synchronized Phasor Measure- ments and their Applications, Springer, 2008. [6] Metrics for Determining the Impact of Phasor Measurements on Power System State Estimation, KEMA, Arnhem, The Nether- lands, Mar 2006. [7] BI, T. S.-QIN, X. H.-YANG, Q. X. : A Novel Hybrid State Etimator for Including Synchronized Phasor Measurements, Electric Power Systems Research 78

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Application of Synchrophasor Measurements for Improving Situational Awareness of the Power System

REFERENCES 1. D’hulst, R., Fernandez, J. M., Rikos, E., Kolodziej, D., K. Heussen, D. … Caerts, C. (2015). Voltage and frequency control for future power systems: The ELECTRA IRP proposal. In Proceedings of EDST’2015 . Vienna: IEEE. 2. Morch, A. Z., Jakobsen, S. H., Visscher, K., & Marinelli, M. (2015). Future control architecture and emerging observability needs. In Proceedings of POWERENG’2015 . Riga: IEEE. 3. Phadke, A. G., & Thorp, J. S. (2018). Synchronized phasor measurement and their applications. New York: Springer. 4. VonMeier

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Adaptive quadrilateral distance relaying scheme for fault impedance compensation

Abstract

Impedance reach of numerical distance relay is severely affected by Fault Resistance (RF), Fault Inception Angle (FIA), Fault Type (FT), Fault Location (FL), Power Flow Angle (PFA) and series compensation in transmission line. This paper presents a novel standalone adaptive distance protection algorithm for detection, classification and location of fault in presence of variable fault resistance. It is based on adaptive slope tracking method to detect and classify the fault in combination with modified Fourier filter algorithm for locating the fault. To realize the effectiveness of the proposed technique, simulations are performed in PSCAD using multiple run facility & validation is carried out in MATLAB® considering wide variation in power system disturbances. Due to adaptive setting of quadrilateral characteristics in accordance with variation in fault impedance, the proposed technique is 100 % accurate for detection & classification of faults with error in fault location estimation to be within 1 %. Moreover, the proposed technique provides significant improvement in response time and estimation of fault location as compared to existing distance relaying algorithms, which are the key attributes of multi-functional numerical relay

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The method of cycle-slip detection and repair GNSS meaturements by using receiver with high stability frequency oscillator

–172. Colombo O. L., Bhapkar U. V., Evans A. G., 1999: Inertial-aided cycle-slip detection/correction for precise, long-baseline kinematic GPS. In: Proceedings of the ION GPS, Nashville, TN, USA, September 14–17, 1999, 1915–1921. Cross P. A., Ahmad N., 1988: Field validation of GPS phase measurements. GPS-Techniques Applied to Geodesy and Surveying, Groten E., Strauß R. (Eds.): Proceedings of the International GPS-Workshop, Darmstadt, April 10–13, 1988, 349–360. Du S., Gao Y., 2012: Inertial aided cycle slip detection and identification for integrated PPP GPS and

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Fault Identification Based on Nlpca in Complex Electrical Engineering

Detection Principles and Applications, Annual Reviews in Control 33 (2009), 136. MESEGUER, J.—PUIG, V.—ESCOBET, T.—SALUDES, J.: Observer Gain Effect in Linear Interval Observer-Based Fault Detection, Journal of Process Control 20 (2010), 944. LEE, Y. K.: A Fault Diagnosis Technique for Complex Systems using Bayesian Data Analysis, PhD thesis of Georgia Institute of Technology, 2008. WANG, Y.—LI, W. Y.—LU, J. P.: Reliability Analysis of Phasor Measurement Unit using Hierarchical Markov

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Phase-Phase and Phase-Code Methods Modification for Precise Detecting and Predicting the GPS Cycle Slip Error

for Navigation Algorithm Developments, Master’s Thesis, Space Science Department, Lulea University of Technology, 2005. [9] Karaim M. et. al., GPS Cycle Slip Detection and Correction at Measurement Level, British Journal of Applied Science & Technology, 2014, Vol. 29, No. 4, pp. 4239–4251. [10] Kim D., Instantaneous Real-Time Cycle-Slip Correction For Quality Control of GPS Carrier-Phase Measurements, Proceedings of the Institute Of Navigation ION GNSS, 2002. [11] Klobuchar J. A., Ionospheric Time-Delay Algorithm for Single-Frequency GPS Users

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Impact of impedance unbalance on the efficiency of electricity transmission and distribution - A case study

R eferences [1] F. Janíček, M. Jedinák and I. Šulc, “Awareness System Implemented in the European Network”, Journal of electrical engineering , vol. 65, no. 5, (2014), 320–324. [2] Anguan) Wu, and Baoshan Ni, Line Loss Analysis and Calculation of Electric Power Systems , October 2015, ISBN: 9781118867 235. [3] A. G. Phadke and J. S. Thorp, Synchronized Phasor Measurements and Their Applications , Springer, USA. [4] Di Shi Utilizing synchrophasor technology to determine transmission line impedance parameters , Arizona State University

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Biomass measurement of living Lumbriculus variegatus with impedance spectroscopy

Abstract

Impedance spectroscopy is a useful tool for non-invasive and real time measurements of cell suspensions and a variety of biological tissues. The objective of this study was the investigation of the dielectric properties of living aquatic worms (Lumbriculus variegatus) using impedance spectroscopy in a frequency range between 100 Hz and 10 MHz. We demonstrate a linear relation between the worm biomass and the phase response of the signal thereby providing a quick and precise method to determine the biomass of aquatic worms in situ. Possible applications for non-destructive online biomass monitoring of aquatic worms and other aqueous organisms are discussed. Furthermore, we show that groups of worms fed different diets can be distinguished by the method presented. These results reveal a close relationship between the nutritional composition of the worms and the measured phase response. We also demonstrate that the phase response at 90 kHz does not depend on the worm size. In contrast, the response function for the signal at 440 Hz reveals a linear correlation of average individual worm size and phase. Therefore, we conclude that the measured phase response at 90 kHz qualifies as a measure of the total amount of worm biomass present in the measuring cell, whereas the phase measurement at 440 Hz can be used to estimate the average individual worm size.

Open access
Optimization of Satellite Combination in Kinematic Positioning Mode with the Aid of Genetic Algorithm

Optimization of Satellite Combination in Kinematic Positioning Mode with the Aid of Genetic Algorithm

The basis of high precision relative positioning is the use of carrier phase measurements. Data differencing techniques are one of the keys to achieving high precision positioning results as they can significantly reduce a variety of errors or biases in the observations and models. Since GPS observations are usually contaminated by many errors such as the atmospheric biases, the receiver clock bias, the satellite clock bias, and so on, it is impossible to model all systematic errors in the functional model. Although the data differencing techniques are widely used for constructing the functional model, some un-modeled systematic biases still remain in the GPS observations following such differencing. Another key to achieving high precision positioning results is to fix the initial carrier phase ambiguities to their theoretical integer values. To obtain a high percentage of successful ambiguity-fixed rates, noisy GPS satellites have to be identified and removed from the data processing step. This paper introduces a new method using genetic algorithm (GA) to optimize the best combination of GPS satellites which yields the highest number of successful ambiguity-fixed solutions in kinematic positioning mode. The results indicate that the use of GA can produce higher number of ambiguity-fixed solutions than the standard data processing technique.

Open access