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.

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

The Service Restoration in the Distribution System with Distributed Generators Based on the Heuristic Multi-Agent Evolutionary Algorithm

2011 ◽  
Vol 354-355 ◽  
pp. 1027-1030
Author(s):  
Li Jun Yang ◽  
Wei Li Wang
Keyword(s):  
Evolutionary Algorithm ◽  
Power Supply ◽  
Distribution System ◽  
Optimization Problem ◽  
Distribution Network ◽  
Multi Objective Optimization ◽  
Distributed Generators ◽  
Service Restoration ◽  
Multi Agent ◽  
Restoration Problem

In view of a large number of distributed generators penetrated into distribution network, an improved hierarchical island operation was proposed to make the DG play the role as backup power supply in the service restoration of the distribution network; As the renewable distributed generators was strongly advocated, A new mathematical model was proposed to make full use of them. The service restoration problem is a constrained multi-objective optimization problem, a new algorithm which was the combination the heuristic algorithm and multi-agent evolutionary algorithm was proposed, it improved the multi-agent evolutionary algorithm with the Niche technologies to ensure the variety of the populations in the post-optimization and used the adaptive updating strategy to improve the convergence speed. The results of a case show feasibility and correctness of the model and the algorithm.

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

Distribution Network Reconfiguration Using an Approximate Optimization Approach

2013 ◽  
Vol 303-306 ◽  
pp. 1276-1279
Author(s):  
Hai Na Rong ◽  
Yan Hui Qin
Keyword(s):  
Evolutionary Algorithm ◽  
Distribution Network ◽  
Operating Conditions ◽  
Distribution Automation ◽  
Optimization Approach ◽  
Network Reconfiguration ◽  
Power Network ◽  
Distribution Network Reconfiguration ◽  
Service Restoration ◽  
Integer Programming Problems

Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum- inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.

Sign in / Sign up

Export Citation Format

Share Document