scholarly journals A FLISR approach for distribution networks integrated distributed generators

2020 ◽  
Vol 3 (4) ◽  
pp. 542-557
Author(s):  
Phúc Duy Lê ◽  
Dương Minh Bùi ◽  
Minh Ngọc Đoàn ◽  
Phúc Công Huỳnh ◽  
Hoài Đức Bành ◽  
...  
Keyword(s):  
Fault Location ◽  
Warning Signal ◽  
Distribution Networks ◽  
Fault Isolation ◽  
Performance Indices ◽  
Distributed Generators ◽  
Service Restoration ◽  
Fault Restoration ◽  
Overcurrent Relay ◽  
Simulation Results

The penetration of distributed generators (DG ) into the distribution etworks (DN) greatly improves the reliability of electricity supply and reduces power loss. However, the operation of these DGs can also make the protection of distribution etwork more complex. This paper will examine the effects of two DG types on the protection of DN by analyzing the solution called Fault Location, Isolation and Service Restoration (FLISR). The FLISR approach considers DGs as auxiliary sources for the post-fault restoration plans in order to minimize the number of interrupted customers and unserved energy. Moreover, the combination of setting value of the overcurrent relay and the statuses of switching device and the loss voltage warning signal are used to detect and identify types of incidents in the distribution etwork with DGs. A two-constrained objective function will be solved to find possible plans for fault isolation and service restoration. There are six performance indices (PIs) selected for post-fault service restoration processing. The simulation results for the 22kV distribution network with integrated DG were performed by using E-terra software to validate this FLISR approach. To be concluded, the FLISR approach well adapt to the integration of DG into the DN and also helps to identify risks from false protection-coordination. On the other hand, it also helps to quickly detect and identify types of incidents as well as evaluate service restoration plans after incidents of distribution etwork with DG less than two minutes.

scholarly journals FLISR Approach for Smart Distribution Networks Using E-Terra Software—A Case Study

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3333 ◽  
Author(s):  
Duy Le ◽  
Duong Bui ◽  
Cao Ngo ◽  
Anh Le
Keyword(s):  
Fault Detection ◽  
Management System ◽  
Processing Time ◽  
Distribution Network ◽  
Data Communication ◽  
Distribution Networks ◽  
Fault Isolation ◽  
Service Restoration ◽  
Minimum Number ◽  
Terminal Units

A smart grid concept has been defined in recent years, which emphasizes the importance on smart protection and measurement devices, reliable data communication and high security, optimal energy management system, and fault detection, location, isolation and service restoration (FLISR) of distribution networks (DNs). The main objectives of the FLISR approach are to achieve fast fault processing time, reduce the minimum number of interrupted customers, and improve the power supply reliability of the distribution. The conventional FLISR approach is to use signals of fault indicators (FIs) with distribution network states. The discrete installation of FIs to switches or reclosers may slow the processing time of fault detection and location, so it is necessary to develop a more efficient FLISR approach for smart distribution networks using functions of feeder terminal units (FTUs). In this paper, pick-up and tripping signals of overcurrent (OC) relays in combination with distribution grid states (e.g., switching status of devices, loss of voltage…) sent from feeder terminal units (FTUs) are used to detect and locate different fault types. Fault isolation and service restoration of black-out areas are then performed by solving an objective function with two main constraints, including (i) restoring the possible maximum number of out-of-service loads; and (ii) limiting the minimum number of switching operation. Thirteen performance factors (PF) are used for the post-fault service restoration process, consisting of: (i) Power Flow Violations (PFV), (ii) Bus Voltage Violations (BVV), (iii) Total Operation Cost (TOC), (iv) Lost Power (LP), (v) Outage Customer (OC), (vi) Number of Switching Steps (NSS), (vii) Power Losses (LOSS); (viii) Customer Minutes Interruption (CMI), (ix) Load Minutes Interruption (LMI), (x) MAIFI, (xi) SAIFI, (xii) SAIDI, and (xiii) Protection Validation (PRV). E-Terra platform of a distribution management system (DMS) is used to implement the proposed FLISR approach. Simulation and experiment results from a real 22 kV distribution network are also analysed to validate this FLISR approach. As a result, the novel FLISR approach has the ability to identify effectively the over-reaching of OC relays, indicate a mis-coordination risk of adjacent protection devices on the same feeder, and get the total processing time of fault detection, location and isolation as well as ranking all possible service restoration plans in distribution network at less than two minutes.

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 Fault Diagnosis with False and/or Missing Alarms in Distribution Systems with Distributed Generators

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2579 ◽  
Author(s):  
Guang Shen ◽  
Yong Zhang ◽  
Haifeng Qiu ◽  
Chongyu Wang ◽  
Fushuan Wen ◽  
...  
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Distributed Generators ◽  
Comprehensive Method ◽  
Level Model ◽  
Diagnosis Model ◽  
Simulation Results ◽  
Upper Level ◽  
Two Level Model

A comprehensive method is presented in this work to locate faults in distribution systems with distributed generators (DGs). A two-level model is developed for this purpose with both telecommunication and telemetering data employed, so as to make good use of fused information for attaining a more credible optimization solution under scenarios with alarm distortions of feeder terminal units (FTUs) or loss during communication. First, at the upper level, an analytic model is developed to search all potential faulted sections/candidates based on the telecommunication data. Then, on the lower level, a model is presented using the telemetering data to identify the most likely fault location from the candidates provided by the upper model. The essential features of the two-level diagnosis model are demonstrated through a number of case studies. Simulation results have shown that the proposed approach is capable of not only locating the faulted section(s) in a distribution system with DGs but also identifying false and/or missing alarms.

A New Fault Location Method for 10 KV Distribution Lines with Branches

2014 ◽  
Vol 986-987 ◽  
pp. 1437-1442
Author(s):  
Feng Yan ◽  
Shuang Shuang Li
Keyword(s):  
Pattern Recognition ◽  
Traveling Wave ◽  
Fault Location ◽  
Single Phase ◽  
Distribution Networks ◽  
Support Vector ◽  
Location Method ◽  
Vector Machines ◽  
Recognition Function ◽  
Simulation Results

By using the advantages of C-type of traveling wave fault location method in distance measuring and the pattern recognition function of support vector machines (SVM),a new fault location method is presented.The first step of the method is determining the fault distance by C-type of traveling wave location method; the second one is locating the fault section by SVM. It also adopts the wavelet to reduce the noise of fault signal,and the accuracy can be more precise when the parameters of SVM are optimized.The simulation results of ATP and MATLAB show that the method can determine the single phase grounding fault point in 10kv distribution networks with branches accurately.

Fault Location and Isolation Algorithm for Distribution Network with DGs

2013 ◽  
Vol 860-863 ◽  
pp. 1987-1991 ◽  
Author(s):  
Ming Sun ◽  
Fu Yuan Men ◽  
Yan Luo
Keyword(s):  
Network Topology ◽  
Fault Location ◽  
Distribution Network ◽  
Fault Isolation ◽  
Simple Method ◽  
Current Information ◽  
Distributed Generators ◽  
Typical Distribution ◽  
Location Algorithm ◽  
Criterion Analysis

A novel fault location algorithm for distribution network with DGs (distributed generators) is proposed in this paper. According to the distribution network topology and current information of the switch, fault location can be realized accurately through matrix manipulations and criterion analysis in the algorithm. Based on the fault location, a simple method is proposed for the realization of fast fault isolation. Finally, the correctness and feasibility of the algorithm is validated through the analysis of the typical distribution network with DGs.

scholarly journals Modeling and Validation of a Directional Overcurrent Relay as an Island Interconnection Device

2020 ◽  
Author(s):  
Wandry R. Faria ◽  
Jonas V. Souza ◽  
Rodrigo B. Otto ◽  
Benvindo R. Pereira Jr.
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Distribution Systems ◽  
Short Circuit ◽  
Electrical Power ◽  
Distribution Networks ◽  
Test System ◽  
Electrical Power Systems ◽  
Distributed Generators ◽  
Overcurrent Relay

The growing number of decentralized generators in the distribution systems and the consequent increase in the penetration level in the networks have prompted the inclusion of this scenario in researches involving the planning of electrical power systems. The planning of protection systems for distribution networks considering distributed generators requires adaptations in the approach due to modifications in characteristics of the network, such as passivity and unidirectional power flow. Furthermore, the insertion of generators in distribution networks allows the implementation of new operation methods, such as the possibility of disconnecting some loads from the main feeder and supplying them through distributed generators. The island operation can improve the service continuity indexes, as well as reduce the costs of non-supplied energy. Although the island operation is widely proposed in the literature as a means to improve the system's reliability, the simulation of a protective device to intentionally island a region and the verification of its limitations is not. In this paper, we present the modeling of a directional overcurrent relay through ATP-EMTP, and its employment as a device for island interconnection, analyzing its zone of non-operation. CIGRE 14-bus test system is used to conduct short-circuit tests with the variation of resistance and type of fault applied. Theresults show the effectiveness of the device, which is able to identify all faults with real impact on the network, placing the region in island operation in less than 20 ms.

Dynamic Improvement of Distributed Generators Connected To Distribution Networks Using DSTATCOM

2012 ◽  
Vol 5 (3) ◽  
pp. 16-22
Author(s):  
P. Harshavardhan Reddy ◽  
◽  
J.N. Chandra Sekhar ◽  
M. Padma Lalitha ◽  
◽  
...  
Keyword(s):  
Distribution Networks ◽  
Distributed Generators

Advanced Scan Diagnosis Based Fault Isolation and Defect Identification for Yield Learning

2005 ◽  
Author(s):  
Chris Eddleman ◽  
Nagesh Tamarapalli ◽  
Wu-Tung Cheng
Keyword(s):  
Failure Analysis ◽  
Fault Location ◽  
Effective Means ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Yield Analysis ◽  
Isolation Techniques ◽  
Yield Learning ◽  
Time Required ◽  
Inspection Data

Abstract Yield analysis of sub-micron devices is an ever-increasing challenge. The difficulty is compounded by the lack of in-line inspection data as many companies adopt foundry or fab-less models for acquiring wafers. In this scenario, failure analysis is increasingly critical to help drive yields. Failure analysis is a process of fault isolation, or a method of isolating failures as precisely as possible followed by identification of a physical defect. As the number of transistors and metal layers increase, traditional fault isolation techniques are less successful at isolating a cause of failures. Costs are increasing due to the amount of time needed to locate the physical defect. One solution to the yield analysis problem is scan diagnosis based fault isolation. Previous scan diagnosis based techniques were limited with little information about the type of fault and confidence of diagnosis. With new scan diagnosis algorithms it is now possible to not only isolate, but to identify the type of fault as well as assigning a confidence ranking prior to any destructive analysis. This paper presents multiple case studies illustrating the application of scan diagnosis as an effective means to achieve yield enhancement. The advanced scan diagnostic tool used in this study provides information about the fault type as well as fault location. This information focuses failure analysis efforts toward a suspected defect, decreasing the cycle time required to determine root cause, as well as increasing the over all success rate.

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