TY - GEN
T1 - Evrimsel algoritmalar ile elektrik daǧitim şebekelerinin restorasyonu
AU - Akduman, Buǧra
AU - Türkay, Belgin
PY - 2010
Y1 - 2010
N2 - This study proposes an efficient and computationally feasible solution approach based on evolutionary algorithms to the distribution system restoration problem. When a fault occurs in a distribution system, the faulted area should be isolated from the system and as much load as possible has to be restored to this area. The solution of this problem, which can be defined as obtaining an optimum system configuration providing minimization of de-energized areas on the system after a fault occurred, is known as service restoration in distribution networks. This is achieved by finding an optimal operation configuration via changing the status of sectionalizing switches, taking into account the objectives and the constraints of the system. This makes the distribution system restoration problem a complex combinatorial optimization problem with multiple constraints. Therefore, to solve this problem, an evolutionary algorithm approach is proposed. The proposed evolutionary algorithm is applied to a radial configured distribution system model and analysis results are presented.
AB - This study proposes an efficient and computationally feasible solution approach based on evolutionary algorithms to the distribution system restoration problem. When a fault occurs in a distribution system, the faulted area should be isolated from the system and as much load as possible has to be restored to this area. The solution of this problem, which can be defined as obtaining an optimum system configuration providing minimization of de-energized areas on the system after a fault occurred, is known as service restoration in distribution networks. This is achieved by finding an optimal operation configuration via changing the status of sectionalizing switches, taking into account the objectives and the constraints of the system. This makes the distribution system restoration problem a complex combinatorial optimization problem with multiple constraints. Therefore, to solve this problem, an evolutionary algorithm approach is proposed. The proposed evolutionary algorithm is applied to a radial configured distribution system model and analysis results are presented.
UR - http://www.scopus.com/inward/record.url?scp=79951603211&partnerID=8YFLogxK
M3 - Konferans katkısı
AN - SCOPUS:79951603211
SN - 9781424495887
T3 - 2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
SP - 93
EP - 97
BT - 2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
T2 - 2010 7th National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
Y2 - 2 December 2010 through 5 December 2010
ER -