Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution systems

2016 ◽  
Vol 134 ◽  
pp. 1-8 ◽  
Author(s):  
Marcos H.M. Camillo ◽  
Rodrigo Z. Fanucchi ◽  
Marcel E.V. Romero ◽  
Telma Woerle de Lima ◽  
Anderson da Silva Soares ◽  
...  
Keyword(s):  
Evolutionary Algorithm ◽  
Distribution Systems ◽  
Large Scale ◽  
Exhaustive Search ◽  
Multi Objective ◽  
Service Restoration

Multi-objective Evolutionary Algorithm with Discrete Differential Mutation Operator for Service Restoration in Large-Scale Distribution Systems

2015 ◽  
pp. 498-513 ◽  
Author(s):  
Danilo Sipoli Sanches ◽  
Telma Worle de Lima ◽  
João Bosco A. London Junior ◽  
Alexandre Cláudio Botazzo Delbem ◽  
Ricardo S. Prado ◽  
...  
Keyword(s):  
Evolutionary Algorithm ◽  
Distribution Systems ◽  
Large Scale ◽  
Mutation Operator ◽  
Multi Objective ◽  
Service Restoration

scholarly journals Multi-Objective Evolutionary Algorithm for Service Restoration in the Presence of Distributed Generation

2021 ◽  
Author(s):  
Etiane O. P. de Carvalho ◽  
José Paulo R. Fernandes ◽  
Leandro T. Marques ◽  
João Bosco A. London Jr.
Keyword(s):  
Evolutionary Algorithm ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Network Reconfiguration ◽  
Multi Objective ◽  
Distributed Generators ◽  
Permanent Faults ◽  
Intentional Islanding ◽  
Service Restoration ◽  
Restoration Problem

Distributed Generators (DGs) have been used to improve quality and reliability of service in Distribution Systems (DSs). They can be used to reduce faults impact on System Average Interruption Duration Index by allowing the minimization of healthy out-ofservice (OFS) loads after the occurrence of permanent faults. IEEE also encourages power supply companies and customers to restore OFS loads by intentional islanding. This paper proposes a modification in recently proposed Multi-Objective Evolutionary Algorithm (MOEA) in subpopulation tables to combine intentional islanding of DGs with network reconfiguration to maximize restoration of OFS loads. The idea is to force intentional islanding whenever OFS heathy areas can be fully supplied by DGs. Simulation results (with a DS presented in the literature) have demonstrated the reliability of the MOEA new version to deal with service restoration problem in the presence of DGs.

scholarly journals PC Cluster based Parallel Adaptive Evolutionary Algorithm for Service Restoration of Distribution Systems

2006 ◽  
Vol 1 (4) ◽  
pp. 435-447
Author(s):  
Kyeong-Jun Mun ◽  
Hwa-Seok Lee ◽  
June-Ho Park ◽  
Hyung-Su Kim ◽  
Gi-Hyun Hwang
Keyword(s):  
Evolutionary Algorithm ◽  
Distribution Systems ◽  
Pc Cluster ◽  
Service Restoration
Sign in / Sign up

Export Citation Format

Share Document