Actas de congresos
Integrating several subpopulation tables with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems.
Fecha
2013-07Registro en:
IEEE Power and Energy Society General Meeting (PES), 2013
1944-9925
Autor
Sanches, Danilo Sipoli
Gois, Marcilyanne Moreira
London Junior, Joao Bosco Augusto
Delbem, Alexandre Cláudio Botazzo
Institución
Resumen
Network reconfiguration for service restoration in
distribution systems is a combinatorial complex optimization
problem that usually involves multiple non-linear constraints and
objectives functions. For large scale distribution systems, no exact
algorithm has found adequate restoration plans in real-time. On
the other hand, the combination of Multi-objective Evolutionary
Algorithms (MOEAs) with the Node-Depth Encoding (NDE) has
been able to efficiently generate adequate restoration plans for
relatively large distribution systems (with thousands of buses
and switches). The method called MEAN-NDS results from the
combination of NDE with a technique of MOEA based on
subpopulation tables and the MOEA called NSGA-II. In order
to obtain a more efficient MOEA to treat service restoration
problem in large scale distribution systems, this paper proposes
a new method, which results from the combination of MEANNDS
with the MOEA called SPEA-2. The idea is to improve
the capacity of MEAN-NDS to explore both the search and
objective spaces. Simulations results with distribution systems
ranging from 632 to 1,277 switches, have shown that the proposed
method found the configurations of lower switching operations,
and explores the space of the objective solutions better than the
MEAN-NDS, approximating better the Pareto-optimal front.