Hybrid Taguchi-based Technique for Micro-phasor Measurement Units Placement in the Grid-connected Distribution System

2021 ◽  
pp. 1-13
Author(s):  
Sukriti Tiwari ◽  
Ashwani Kumar
Keyword(s):  
Distribution System ◽  
Phasor Measurement Units ◽  
Phasor Measurement ◽  
Measurement Units

Automatic Fault Location on Distribution Networks Using Synchronized Voltage Phasor Measurement Units

2014 ◽  
Author(s):  
Jonathan Lee
Keyword(s):  
Distribution System ◽  
Fault Location ◽  
Low Cost ◽  
Distribution Networks ◽  
Phasor Measurement Units ◽  
Test Case ◽  
Total Load ◽  
Phasor Measurement ◽  
Service Restoration ◽  
Measurement Units

Automatic fault location on the distribution system is a necessity for a resilient grid with fast service restoration after an outage. Motivated by the development of low cost synchronized voltage phasor measurement units (PMUs) for the distribution system, this paper describes how PMU data during a fault event can be used to accurately locate faults on the primary distribution system. Rather than requiring many specialized line sensors to enable fault location, the proposed approach leverages a PMU data stream that can be used for a variety of applications, making it easier to justify the investment in fault location. The accuracy of existing automatic fault location techniques are dependent either on dense deployments of line sensors or unrealistically accurate models of system loads. This paper demonstrates how synchronized voltage measurements enable sufficiently accurate fault location with relatively few instrumentation devices and relatively low fidelity system models. The IEEE 123 bus distribution feeder is examined as a test case, and the proposed algorithm is demonstrated to be robust to variations in total load and uncertainty in the response of loads to voltage sags during a sample set of varied fault conditions.

Decentralized three-phase distribution system static state estimation based on phasor measurement units

2018 ◽  
Vol 160 ◽  
pp. 327-336 ◽  
Author(s):  
Bráulio César de Oliveira ◽  
José L.R. Pereira ◽  
Guilherme de O. Alves ◽  
Igor D. Melo ◽  
Matheus A. de Souza ◽  
...  
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phase Distribution ◽  
Phasor Measurement Units ◽  
Static State ◽  
Phasor Measurement ◽  
Three Phase ◽  
Measurement Units

Distribution System State Estimation with Phasor Measurement Units

2014 ◽  
Vol 668-669 ◽  
pp. 687-690
Author(s):  
Min Liu
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phasor Measurement Units ◽  
Least Square ◽  
Estimation Accuracy ◽  
System State ◽  
State Estimator ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Simulation Results

With phasor measurement units (PMU) become available in the distribution system; the estimation accuracy of the distribution system state estimation (DSSE) is expected to be improved. Based on the weighted least square (WLS) approach, this paper proposed a new state estimator which takes into account the PMU measurements including voltage magnitude and phasor angle, and load current magnitude and phasor angle. Simulation results indicate that the estimation accuracy is obvious improve by adding PMU measurements to the DSSE. Furthermore, the estimation accuracy changes with the installation site of PMU, and can be maximized by choosing the installation site appropriately.

scholarly journals Monitoring System Based on Phasor Measurement Units with Variable Reporting Rates

ACTA IMEKO ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 62 ◽  
Author(s):  
Paolo Castello ◽  
Carlo Muscas ◽  
Paolo Attilio Pegoraro ◽  
Sara Sulis
Keyword(s):  
Distribution System ◽  
Communication Systems ◽  
Measurement Data ◽  
Reporting Rate ◽  
Phasor Measurement Units ◽  
Hierarchical Architecture ◽  
Time Interval ◽  
Steady State Condition ◽  
Phasor Measurement ◽  
Measurement Units

Classical Wide-Area Monitoring Systems (WAMS) are characterized by a hierarchical architecture composed of Phasor Measurement Units (PMUs) and different levels of Phasor Data Concentrators (PDCs). The WAMS, based on synchrophasor technology, was originally designed for transmission systems; nevertheless, with the development of the smart grid paradigm, the benefits of this technology are being extended to the distribution network. Normally, PMUs send measurement data at a high and constant reporting rate to guarantee the monitoring of dynamic events in an electric transmission network. However, the typical communication systems expected to be used by distribution system operators will be generally shared and/or public and, in this case, the bandwidth available among PMUs and PDCs, or among the PDCs and the control centre, is strictly dependent on the type of communication channel used and on the level of network traffic. In this context, a new transmission logic for the transfer of data between PMUs and PDCs, based on the knowledge of the ongoing conditions of the electric grid, can be implemented. The strategy proposed in this paper is to increase the measurement reporting rate only when the electric system changes from a steady-state condition to a dynamic and potentially unsafe one, without modifying the overall accuracy of the PMU measurement process. The risk of losing important information related to a dynamic event is mitigated by sending to the PDC, after the event detection, also measurements relating to pre-trigger time interval in a burst of data packets that allow an insight on the signal evolution.

scholarly journals Permanent Fault Location in Distribution System Using Phasor Measurement Units (PMU) in Phase Domain

2018 ◽  
Vol 8 (5) ◽  
pp. 2709 ◽  
Author(s):  
Ali Khaleghi ◽  
Mahmoud oukati Sadegh ◽  
Mahdi Ghazizadeh Ahsaee
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Phasor Measurement Units ◽  
New Method ◽  
Phase Domain ◽  
High Impedance ◽  
Phasor Measurement ◽  
High Impedance Fault ◽  
Measurement Units

This paper proposes a new method for locating high impedance fault in distribution systems using phasor measurement units (PMUs) installed at certain locations of the system. To implement this algorithm, at first a new method is suggested for the placement of PMUs. Taking information from the units, voltage and current of the entire distribution system are calculated. Then, the two buses in which the fault has been occurred is determined, and location and type of the fault are identified. The main characteristics of the proposed method are: the use of distributed parameter line model in phase domain, considering the presence of literals, and high precision in calculating the high impedance fault location. The results obtained from simulations in EMTP-RV and MATLAB software indicate high accuracy and independence of the proposed method from the fault type, fault location and fault resistance compared to previous methods, so that the maximum observed error was less than 0.15%

scholarly journals Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3730 ◽  
Author(s):  
Antonio E. Saldaña-González ◽  
Andreas Sumper ◽  
Mònica Aragüés-Peñalba ◽  
Miha Smolnikar
Keyword(s):  
Distribution System ◽  
Smart Grids ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Phasor Measurement Units ◽  
Distribution Grid ◽  
Smart Meters ◽  
Phasor Measurement ◽  
Power Quality Monitoring ◽  
Measurement Units

The integration of advanced measuring technologies in distribution systems allows distribution system operators to have better observability of dynamic and transient events. In this work, the applications of distribution grid measurement technologies are explored in detail. The main contributions of this review are: (a) a comparison of eight advanced measurement devices for distribution networks, based on their technical characteristics, including reporting periods, measuring data, precision, and sample rate; (b) a review of the most recent applications of micro-Phasor Measurement Units, Smart Meters, and Power Quality Monitoring devices used in distribution systems, considering different novel methods applied for data analysis; and (c) an input-output table that relates measured quantities from micro-Phasor Measurement Units and Smart Meters needed for each specific application found in this extensive review. This paper aims to serve as an important guide for researches and engineers studying smart grids.

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