This paper presents a reliability-based reconfiguration methodology for power distribution systems. Probabilistic reliability models of the system components are considered and Monte Carlo method is used while evaluating the reliability of the distribution system. The reconfiguration is aimed at maximizing the reliability of the power supplied to the customers. A binary particle swarm optimization (BPSO) algorithm is used as a tool to determine the optimal configuration of the sectionalizing and tie switches in the system. The proposed methodology is applied on a modified IEEE 13-bus distribution system
This paper presents a methodology for maintenance scheduling (MS) of generators using binary particl...
Growing energy demand leading to increase attention to adequate reliability and efficient protection...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...
This paper presents a reliability-based reconfiguration methodology for power distribution systems. ...
In this paper, the network reconfiguration in the presence of distributed generation units with the ...
In this paper, the network reconfiguration in the presence of distributed generation units with the ...
This paper presents a mixed-integer second-order conic programming (MISOCP) model to solve the recon...
Power distribution network reconfiguration is achieved by opening or closing sectionalizes and tie s...
One of the major characteristic of a smart protection system in Smart grid is to automatically recon...
Abstract: Recently, losses reduction gained a great deal of attention in distribution system due to ...
This paper presents a methodology for distribution networks reconfiguration in outage presence in or...
In recent years, the reconfiguration of the distribution network has been proclaimed as a method for...
Power losses and voltage drop are existing problems in radial distribution networks. This power loss...
The proposed algorithm contributes towards an automated power distribution system, which optimally r...
The increasing energy demands are stressing the generation and transmission capabilities of the powe...
This paper presents a methodology for maintenance scheduling (MS) of generators using binary particl...
Growing energy demand leading to increase attention to adequate reliability and efficient protection...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...
This paper presents a reliability-based reconfiguration methodology for power distribution systems. ...
In this paper, the network reconfiguration in the presence of distributed generation units with the ...
In this paper, the network reconfiguration in the presence of distributed generation units with the ...
This paper presents a mixed-integer second-order conic programming (MISOCP) model to solve the recon...
Power distribution network reconfiguration is achieved by opening or closing sectionalizes and tie s...
One of the major characteristic of a smart protection system in Smart grid is to automatically recon...
Abstract: Recently, losses reduction gained a great deal of attention in distribution system due to ...
This paper presents a methodology for distribution networks reconfiguration in outage presence in or...
In recent years, the reconfiguration of the distribution network has been proclaimed as a method for...
Power losses and voltage drop are existing problems in radial distribution networks. This power loss...
The proposed algorithm contributes towards an automated power distribution system, which optimally r...
The increasing energy demands are stressing the generation and transmission capabilities of the powe...
This paper presents a methodology for maintenance scheduling (MS) of generators using binary particl...
Growing energy demand leading to increase attention to adequate reliability and efficient protection...
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the s...