Fault location algorithm based on shortest path optimization problem for Distribution networks with DG

Author(s):  
A. F. Contreras ◽  
G. A. Ramos
Author(s):  
Payam Farzan ◽  
Mahdi Izadi ◽  
Chandima Gomes ◽  
Mohd Zainal Abidin Ab Kadir ◽  
M. H. Hesamian ◽  
...  

2018 ◽  
Vol 8 (9) ◽  
pp. 1563 ◽  
Author(s):  
Cesar Orozco-Henao ◽  
Arturo Suman Bretas ◽  
Juan Marín-Quintero ◽  
Andres Herrera-Orozco ◽  
Juan Pulgarín-Rivera ◽  
...  

Modern fault location methods are robust; however, they depend strongly on the availability of the measurements given by Distributed Energy Resources (DER). If the communication or synchronism of this information is lost, the fault location is not possible. This paper proposes an adaptive impedance-based fault location algorithm for active distribution systems. The proposal combines information provided by Intelligent Electronic Devices (IEDs) located at the substation, the knowledge of the network topology and parameters, as well as the distributed power sources, to estimate the fault location. Its adaptive feature is given by the use of a Distributed Energy Resources (DER) electrical model. This model is used to estimate the DER current contribution to the fault, in case the information provided by a local IED is not available. The method takes two types of DER technologies into account: Inverter non-interfaced DER (INIDER) and Inverter-interfaced DER (IIDER). The proposed method is validated on a modified IEEE 34-node test feeder, which was simulated with ATP/EMTP. The results obtained using the IEDs information, presented a maximum error of 0.8%. When this information is not available, the method’s performance decreases slightly, obtaining a maximum error of 1.1%. The proposed method showed better performance when compared with two state of the art methods, indicating potential use for real-life applications.


2015 ◽  
Vol 785 ◽  
pp. 353-357
Author(s):  
L.J. Awalin ◽  
Hazlie Mokhlis ◽  
A.H.A. Bakar ◽  
Hazlee Azil Illias

In this paper, a novel fault location algorithm in distribution networks based on combination of impedance based method is presented. The voltage sag and current swell from the measurement node are used as input data to estimate the fault distance. To improve the accuracy of the proposed method, the voltage sag and current swell in the un-faulted phase also considered. Test results using a large scale distribution network from Malaysia confirms the accuracy of the proposed method. A comparison is made with the existing method which shows that the proposed method gives more accurate fault distance.


2012 ◽  
Vol 155-156 ◽  
pp. 186-190
Author(s):  
Fu Cai Wan ◽  
Duo Chen ◽  
Yong Qiang Wu

This paper analyzes characteristics of automated warehouse stocker picking operating process. Path optimization problem is considered as traveling salesman problem. The coordinates of picking points by calculating determine a stocker running route. The mathematical model of a path distance is built. And using the improved genetic algorithm solves the above problem. Finally, M-file program of stocker running path optimization is written and run in MATLAB. The simulation results that, in solving stocker path optimization problem, it can search for a shortest path by genetic algorithm. Thereby enhance the efficiency of automated warehouse system, increase greater benefits of the enterprise.


Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1534 ◽  
Author(s):  
Wang ◽  
Yun

T-type transmission lines have been increasingly used in distribution networks because of the distributed generation integration, but inaccurate line parameters will cause significant error in the results of most existing fault location algorithms for this kind of line. In order to improve the precision, this paper proposes a new fault location algorithm taking line parameters as unknowns. The fault is assumed to occur on each section, and corresponding ranging equations can be built based on one set of three-terminal post-fault synchronous measurements, without using line parameters as inputs. Then, more sets of measurements are utilized to increase the redundancy of equations to resist the influence of data error. The reliable trust-region algorithm is used to solve each group of equations, but only equations of the assumed faulty section with the actual fault point can give the reasonable solutions, accordingly identifying the fault point. The performance of the proposed method is thoroughly investigated with MATLAB/Simulink. The results indicate that the algorithm has a high accuracy and is basically unaffected by fault position, fault resistance, unbalanced fault type, line parameter, and data error.


2020 ◽  
Vol 181 ◽  
pp. 106182 ◽  
Author(s):  
Angel Silos-Sanchez ◽  
Roberto Villafafila-Robles ◽  
Pau Lloret-Gallego

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