Fault section detection and location on distribution network using analytical voltage sags database

2006 ◽  
Author(s):  
A.R. Khalid ◽  
H. Mokhlis ◽  
Haiyu Li
Keyword(s):  
Distribution Network ◽  
Voltage Sags

A generalized fault location method based on voltage sags for distribution network

2013 ◽  
Vol 8 (S1) ◽  
pp. S38-S46 ◽  
Author(s):  
Lilik Jamilatul Awalin ◽  
Hazlie Mokhlis ◽  
AbHalim Abu Bakar ◽  
Hasmaini Mohamad ◽  
Hazlee A. Illias
Keyword(s):  
Fault Location ◽  
Distribution Network ◽  
Voltage Sags ◽  
Location Method

Voltage Sag Assessment of Distribution Network with Distributed Generations

2013 ◽  
Vol 441 ◽  
pp. 169-173
Author(s):  
Shuang Yin Dai ◽  
Qiong Lin Li ◽  
Shu Ming Liu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Output Power ◽  
Control Strategy ◽  
Distribution Network ◽  
Voltage Sag ◽  
Voltage Sags ◽  
Distributed Generations ◽  
Machine Type ◽  
Typical Distribution

Voltage sag assessment of distribution network with DGs based on Monte Carlo method is researched in this paper. Models of synchronous machine type DG and inverter type DG are established respectively; then a typical distribution network with DGs is simulated based on PSCAD/EMTDC. Impacts of type, control strategy, output power and location of DG on voltage sags are discussed based on several simulation examples. The results show that inverter type DG has certain capability of suppressing voltage sags and can reduce the frequency of voltage sags in distribution network and the impacts are depend on its type, control strategy, output power and location.

scholarly journals Impact of Distributed Generation on a Distribution Network Voltage Sags in Baghdad City

2021 ◽  
Vol 39 (4A) ◽  
pp. 528-542
Author(s):  
Ali H. Mohammed ◽  
Suad I. Shahl
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Distribution Network ◽  
Optimal Placement ◽  
System Modelling ◽  
Voltage Sags ◽  
Voltage Profile ◽  
De Algorithm ◽  
Power Loss Reduction ◽  
Real Coded Genetic Algorithm

Voltage sags are considered as one of the most detrimental power quality (PQ) disturbance due to their costly influence on sensitive loads. This paper investigates the voltage sag mitigation in distribution network following the occurrence of a fault. Two software are used in this work; the 1st is MATLAB R2017a for implementation of the Differential Evaluation (DE) algorithm to find the optimal location and size DG and while the 2nd software is CYME 7.1 for the distribution system modelling and analysis. The effectiveness of the proposed method is tested by implementing it on IEEE 33-bus system, and then it is applied to Al-Masbh distribution network in Baghdad city as a case study. The paper aims to enhance voltage profile, power loss reduction, and relieve distribution lines overloading, by optimal placement of distributed generation (DG). The results indicate the efficiency of the proposed method comparing with Real Coded Genetic Algorithm (RCGA).

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