Voltage Sag Assessment in Distribution System with Neutral Grounding Resistance by Methods of Fault Position and Monte Carlo Simulation

2021 ◽  
Author(s):  
Rittipad Posree ◽  
Somporn Sirisumrannukul
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Distribution System ◽  
Voltage Sag ◽  
Grounding Resistance

scholarly journals An open source tool for reliability evaluation of distribution system using Monte Carlo simulation

2019 ◽  
Vol 14 (3) ◽  
pp. 1065
Author(s):  
Bhargava Chitumodhu ◽  
Renuka Loka
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Information Integration ◽  
Distribution System ◽  
Web Application ◽  
Data Exchange ◽  
Electrical Energy ◽  
Reliability Evaluation ◽  
Proposed Model ◽  
System Data

<span lang="EN-US">As the demand for electricity is shooting exponentially, reliable supply of electrical energy from generation to customer is the challenging task faced by utilities. Though generation and transmission can be maintained at hundred percent reliability, reliability of entire system cannot be assured unless focus is laid on distribution system. Most of the faults are occurring on the distribution system which is directly connected to different customers. Hence, we need to intensify the attention at distribution level. Due to deregulation, private players are evolving in distribution sector which complicates power system data exchange and information integration.   To cope with this scenario, reliability evaluation of distribution system through Monte Carlo Simulation (MCS) with feature of interoperability for Bus 2 of RBTS system has been introduced and analyzed using SOAP web services. Simulation is performed by developing a web application in Java and is deployed on the Glass-fish server using JAX-WS. The intent behind this proposed model is to use the internet as the transactional tool and exposing the functionality of the program for reliability evaluation for utilities to use and providing facility of interoperability through standards refinement and integration into profiles.</span>

Optimal Placement of Distributed Generation Units in a Distribution System with Uncertain Topologies using Monte Carlo Simulation

2015 ◽  
Vol 16 (5) ◽  
pp. 431-441 ◽  
Author(s):  
Clainer Bravin Donadel ◽  
Jussara Farias Fardin ◽  
Lucas Frizera Encarnação
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Distributed Generation ◽  
Distribution System ◽  
Heuristic Algorithms ◽  
Optimal Placement ◽  
Medium Size ◽  
Swarm Optimization ◽  
Network Topologies ◽  
New Methodologies

Abstract In the literature, several papers propose new methodologies to determine the optimal placement/sizing of medium size Distributed Generation Units (DGs), using heuristic algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). However, in all methodologies, the optimal placement solution is strongly dependent of network topologies. Therefore, a specific solution is valid only for a particular network topology. Furthermore, such methodologies does not consider the presence of small DGs, whose connection point cannot be defined by Distribution Network Operators (DNOs). In this paper it is proposed a new methodology to determine the optimal location of medium size DGs in a distribution system with uncertain topologies, considering the particular behavior of small DGs, using Monte Carlo Simulation.

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