An Improved FTU-Based Matrix Algorithm for Fault Locating in Distribution Network

2013 ◽  
Vol 441 ◽  
pp. 324-327 ◽  
Author(s):  
Ting Ting Shi ◽  
Ming Sun ◽  
Lei Wang
Keyword(s):  
Distribution System ◽  
Fault Location ◽  
Structural Characteristics ◽  
Distribution Networks ◽  
Multiple Source ◽  
Positive Direction ◽  
Matrix Algorithm ◽  
Fault Locating ◽  
Fault Information ◽  
Information Vector

An improved FTU-based matrix algorithm is presented for faults locating in complex distribution networks with multiple source multiple and faults. Firstly, the paper supposes the only power source and the positive direction according to the structural characteristics of the distribution system, and build the description matrix D which is based on the positive direction and the relevancy between different feeders. Based on the fault currents direction sent from the feeder terminal unit (FTU), we can set up the fault information vector F. Secondly, combined with the description matrix D, by searching the nonzero elements in the fault information vector F , we can establish the fault location vector L according to the fault locating criterion. Finally, by observing the elements in fault location vector L, we can find out the fault area location quickly. This algorithm can solve the problems of feeder terminal fault, circle net fault and multiple source multiple fault, all of which cannot be solved by other algorithm completely. And this method needs not matrix multiply or standardization. It's easy to build the description matrix D, which is very sparse and has good real-time and practicality. The criterion of this algorithm is proved to be effective by simulation in MATLAB environment.

An Artificial Intelligence Based Approach for High Impedance Faults Analysis in Distribution Networks

2012 ◽  
Vol 1 (2) ◽  
pp. 44-59 ◽  
Author(s):  
M. S. Abdel Aziz ◽  
M. A. Moustafa Hassan ◽  
E. A. El-Zahab
Keyword(s):  
Artificial Intelligence ◽  
Distribution System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Distribution Networks ◽  
Inference System ◽  
New Approach ◽  
High Impedance ◽  
Neuro Fuzzy ◽  
High Impedance Faults

This paper presents a new approach for high impedance faults analysis (detection, classification and location) in distribution networks using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a distribution system under various faults conditions and tested for different system conditions. Details of the design process and the results of performance using the proposed method are discussed. The results show the proposed technique effectiveness in detecting, classifying, and locating high impedance faults. The 3rd harmonics, magnitude and angle, for the 3 phase currents give superior results for fault detection as well as for fault location in High Impedance faults. The fundamental components magnitude and angle for the 3 phase currents give superior results for classification phase of High Impedance faults over other types of data inputs.

A multi-agent-based for fault location in distribution networks with wind power generator

2021 ◽  
pp. 0309524X2110445
Author(s):  
Mohamed Azeroual ◽  
Younes Boujoudar ◽  
Ayman Aljarbouh ◽  
Hassan El Moussaoui ◽  
Hassane El Markhi
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Distribution System ◽  
Energy Demand ◽  
Fault Location ◽  
Distribution Networks ◽  
Power Generator ◽  
Wind Power Generator ◽  
Multi Agent ◽  
Power Restoration

The integration of distributed generation (DG) units such as wind power into the distribution network are one of the most viable technique to meet the energy demand increases. But, the integration of these DG units into power systems can change the dynamic performances of the systems and create new challenges that are necessary to be taken care of in the operation of the network. The fault location and diagnosis are the most significant technical challenges that can improve power systems’ reliability and stability. In this paper, a Multi-Agent System (MAS) based on current amplitude and current direction measured proposed for fault location, isolation, and power restoration in a smart distribution system with the presence of a wind power generator. The agents can communicate and collaborate to locate the faulted line, then send trips signal to corresponding circuit breakers accordingly. The simulation results show the performance of the proposed techniques.

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.

scholarly journals A Modified Matrix Algorithm Dichotomy for Distribution Network Fault Location

2020 ◽  
Vol 204 ◽  
pp. 02010
Author(s):  
Hanyu Yan ◽  
Xueying Wu ◽  
Chunlan Lin ◽  
Haiyan Liu
Keyword(s):  
Fault Location ◽  
Flow Direction ◽  
Distribution Network ◽  
Information Matrix ◽  
Normal Operation ◽  
Grid Structure ◽  
Power Sources ◽  
Structure Matrix ◽  
Matrix Algorithm ◽  
Fault Information

The operation mode of distribution network is diversified, and it is difficult to accurately locate the fault point when the fault occurs in the case of multiple power sources and branches. In order to accurately locate the fault point and quickly restore the power supply in the fault-free area, a bisection fault location method based on improved matrix is proposed. According to the feedback information of terminal feeder equipment, the improved matrix algorithm is used to form the grid structure matrix and fault information matrix base on the connection relationship of distribution network. The grid structure matrix reflects the connection relationship between nodes and the power flow direction of the distribution network in normal operation. The fault information matrix is the flow direction of power flowing through terminal equipment when the system fails. According to the grid matrix and fault information matrix, the fault judgment matrix is obtained to judge the fault area. Finally, the dichotomy method is used to judge the fault area and determine the specific fault point. The effectiveness and practicability of the method are verified by an example.

scholarly journals Development of an Integrated Power Distribution System Laboratory Platform Using Modular Miniature Physical Elements: A Case Study of Fault Location

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3780 ◽  
Author(s):  
Jinrui Tang ◽  
Binyu Xiong ◽  
Chen Yang ◽  
Cuilan Tang ◽  
Yang Li ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Power Distribution System ◽  
Zero Sequence ◽  
Assembly Technology ◽  
Physical Elements

The main shortcomings of the software-based power engineering education are a lack of physical understanding of phenomena and hands-on experience. Existing scaled-down analogous educational power system platforms cannot be widely used for experiments in universities due to the high cost, complicated operation, and huge size. An integrated power distribution system laboratory platform (PDSLP) using modular miniature physical elements is proposed in this paper. The printed circuit board (PCB) and microelectronic technology are proposed to construct each physical element. Furthermore, the constructed physical elements are used to set up an integrated PDSLP based on modular assembly technology. The size of the proposed cost-efficient PDSLP is significantly reduced, and the reliability of the proposed PDSLP can be improved greatly because the signal transmission path is shortened and a number of welding points are reduced. A PDSLP for fault location in neutral non-effectively grounded distribution systems (NGDSs) is selected as a typical experimental scenario and one scaled-down distribution network with three feeders is subsequently implemented and discussed. The measured zero-sequence currents by our proposed PDSLP when a single-phase earth fault occurred can reveal the true features of the fault-generated signals, including steady-state and transient characteristics of zero-sequence currents. They can be readily observed and used for students to design corresponding fault location algorithms. Modular renewable energy sources and other elements can be designed, implemented and integrated into the proposed platform for the laboratory education of the active distribution networks in the future.

A New Protection Scheme for Distribution Network with Distributed Generations Using Radial Basis Function Neural Network

2010 ◽  
Vol 11 (5) ◽  
Author(s):  
Hadi Zayandehroodi ◽  
Azah Mohamed ◽  
Hussain Shareef ◽  
Marjan Mohammadjafari
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Distribution System ◽  
Fault Location ◽  
Distribution Networks ◽  
Power Source ◽  
Distributed Generations ◽  
Protection Method ◽  
Radial Basis

Distributed generations (DGs) have been increasingly connected on the distribution networks that will have the unfavorable impact on the traditional protection methods because the distribution system is no longer radial in nature and is not supplied by a single main power source. This paper presents a new automated protection method using radial basis function neural network (RBFNN) for a distribution system with DG units. In the proposed method, the fault type is determined first by normalizing the fault currents of the main source. For implementing fault location considering various types of faults, two staged RBFNNs have been developed. The first RBFNN is used for determining the fault distance from each power source and the second RBFNN is used for identifying the faulty line. To isolate the fault, another RBFNN has been developed for determining which circuit breakers (CBs) that must be open or close. Several case studies have been made to verify the accuracy of the method to specify the fault location and protection of the system in distribution networks with DGs. The predicted results showed that the proposed RBFNN based protection method can accurately determine the location of faults and isolate the faulted line in the test power system.

scholarly journals Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Tanmay Jain ◽  
Debomita Ghosh ◽  
Dusmanta Kumar Mohanta
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Situational Awareness ◽  
Electronic Device ◽  
Distribution Networks ◽  
System Stability ◽  
System Integrity ◽  
Intelligent Electronic Device

AbstractPower distribution systems are profoundly inclined to disturbances like untimely switching of breakers & relays, sympathetic tripping, and uncertainties regarding fault location. Thus, system stability and reliability are greatly affected. In this way, situational awareness and system integrity are the crucial factors in developing power system security, as it empowers successful decision making & timely reaction by the operators to any disturbance and also maintaining continuity of power supply. This paper focuses on the enhancement of situational awareness by fault location through fault passage indicators (FPI) to improve nominal impedance-based methods in distribution networks. Also, the proposed method is validated by comparing it with Intelligent Electronic Device (IED) based fault location method. Further, simultaneous reconfiguration of the system is incorporated to maintain the continuity of supply. The analysis has been tested on IEEE 33 bus distribution system.

Analisis Hidrolis dan Jejak Karbon Jaringan Distribusi Air Bersih di Pulau Kecil Padat Penduduk (Pulau Lengkang Kecil, Kota Batam)

2020 ◽  
Vol 21 (2) ◽  
pp. 227-235
Author(s):  
Muhammad Rizki Apritama ◽  
I Wayan Koko Suryawan ◽  
Yosef Adicita
Keyword(s):  
Water Supply ◽  
Distribution System ◽  
Water Distribution ◽  
Treatment Plant ◽  
Primary Source ◽  
Distribution Networks ◽  
Clean Water ◽  
Island Community ◽  
Dug Wells ◽  
Centralized Wastewater Treatment

ABSTRACTThe clean water supply system network on Lengkang Kecil Island was developed in 2019. A small portion of the community's freshwater comes from harvesting rainwater and dug wells, which are only obtained during the rainy season. The primary source of clean water used by the community comes from underwater pipelines with a daily discharge of 0.86 l/sec. The water supply of the Lengkang Kecil Island community is 74.3 m3/day, with 146 House Connections (HCs) and to serve public facilities such as elementary schools, primary health centers, and mosques. Hydraulic evaluation of clean water distribution using EPANET 2.0 software on flow velocity shows the lowest rate of 0.29 m/s and the highest of 1.21 m/s. The lowest pressure value in the distribution system is 6.94-6.96 m and headloss units in the range 0.08-0.25 m/km. These three criteria are still within the distribution network design criteria (feasible). A carbon footprint can be calculated from each activity from the analysis of the evaluation of clean water distribution networks. The most massive emissions came from pumping activities with 131 kg CO2-eq, followed by emissions from wastewater 62.5 kgCO2-eq. Further research is needed to determine the quality of wastewater and the design for a centralized wastewater treatment plant (IPALT) to improve Lengkang Kecil Island residents' living standards.Keywords: Lengkang Kecil Island, water, EPANET, carbon footprintABSTRAKJaringan sistem penyediaan air bersih pada Pulau Lengkang Kecil dimulai pada tahun 2019. Sebagian kecil air bersih yang digunakan masyarakat berasal dari pemanenan air hujan dan sumur gali yang hanya didapat pada musim hujan. Sumber air bersih utama yang digunakan masyarakat berasal dari pengaliran perpipaan bawah laut dengan debit harian 0,86 l/detik. Kebutuhan air masyarakat Pulau Lengkang Kecil adalah 74,3 m3/hari dengan 146 Sambungan Rumah (SR) serta untuk melayani fasilitas umum seperti sekolah dasar (SD), puskesmas, dan masjid. Evaluasi hidrolis distribusi air bersih dengan menggunakan software EPANET 2.0 terhadap kriteria kecepatan aliran menunjukkan nilai terendah 0,29 m/s dan tertinggi 1,21 m/s. Nilai sisa tekan dalam sistem distribusi adalah 6,94–6,96 m dan unit headloss pada kisaran 0,08–0,25 m/km. Ketiga kriteria ini masih berada dalam kriteria desain jaringan distribusi (layak). Dari analisis evaluasi jaringan distribusi air bersih, dapat dihitung jejak karbon yang dihasilkan dari setiap kegiatannya. Emisi terbesar berasal dari kegiatan pemompaan dengan nilai 131 kgCO2-eq, diikuti dengan emisi yang berasal dari air limbah dengan nilai 62,5 kgCO2-eq. Penelitian lanjutan diperlukan untuk mengetahui kualitas dari air limbah dan desain untuk instalasi pengolahan air limbah terpusat (IPALT) untuk meningkatkan taraf hidup penduduk Pulau Lengkang Kecil.Kata kunci: Pulau Lengkang Kecil, air, EPANET, jejak karbon

Determining the Norton’s Equivalent Model of Distribution System with Distributed Generation (DG) for Stability Analysis

2019 ◽  
Vol 12 (2) ◽  
pp. 190-198
Author(s):  
Sunny Katyara ◽  
Lukasz Staszewski ◽  
Faheem Akhtar Chachar
Keyword(s):  
Distributed Generation ◽  
Normal Condition ◽  
Distribution System ◽  
Distribution Networks ◽  
Equivalent Model ◽  
Stability Factor ◽  
Matlab Simulation ◽  
The Stability ◽  
Stability Issues

Background: Since the distribution networks are passive until Distributed Generation (DG) is not being installed into them, the stability issues occur in the distribution system after the integration of DG. Methods: In order to assure the simplicity during the calculations, many approximations have been proposed for finding the system’s parameters i.e. Voltage, active and reactive powers and load angle, more efficiently and accurately. This research presents an algorithm for finding the Norton’s equivalent model of distribution system with DG, considering from receiving end. Norton’s model of distribution system can be determined either from its complete configuration or through an algorithm using system’s voltage and current profiles. The algorithm involves the determination of derivative of apparent power against the current (dS/dIL) of the system. Results: This work also verifies the accuracy of proposed algorithm according to the relative variations in the phase angle of system’s impedance. This research also considers the varying states of distribution system due to switching in and out of DG and therefore Norton’s model needs to be updated accordingly. Conclusion: The efficacy of the proposed algorithm is verified through MATLAB simulation results under two scenarios, (i) normal condition and (ii) faulty condition. During normal condition, the stability factor near to 1 and change in dS/dIL was near to 0 while during fault condition, the stability factor was higher than 1 and the value of dS/dIL was away from 0.

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