TY  - JOUR
N2  - This paper presents an implementation of the stochastic fractal search (SFS) algorithm to solve the distribution network reconfiguration (DNR) problem in the presence of distributed generations (DGs). The SFS is a meta-heuristic algorithm inspired by the fractal theory for solving optimization problems. For dealing with the formulated DNR problem, the loss sensitivity factor (LSF) was first used to determine the optimal location of DGs and SFS was then applied to find the best size of DGs and configuration of the network. The proposed SFS algorithm was tested on 33-bus, 69-bus, 84-bus, 119-bus, and 136-bus distribution networks with seven different scenarios. The results obtained from SFS were compared to those from other methods in the literature and the result comparison has showed that SFS obtained better solutions than other methods. Therefore, SFS can be a very favorable method for solving the reconfiguration problem considering the participation of DGs in distribution networks. © 2019 Ain Shams University
IS  - 2
ID  - scholars13135
KW  - Distributed power generation; Fractals; Heuristic algorithms; Learning algorithms; Optimization
KW  -  Diffusion process; Distributed generations (DGs); Distribution network reconfiguration; Meta heuristic algorithm; Optimization problems; Reconfiguration of distribution networks; Reconfiguration problems; Search Algorithms
KW  -  Stochastic systems
Y1  - 2020///
JF  - Ain Shams Engineering Journal
A1  - Tran, T.T.
A1  - Truong, K.H.
A1  - Vo, D.N.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074486387&doi=10.1016%2fj.asej.2019.08.015&partnerID=40&md5=da1639887afc791096e4602c8f997527
VL  - 11
AV  - none
N1  - cited By 63
SP  - 389
TI  - Stochastic fractal search algorithm for reconfiguration of distribution networks with distributed generations
PB  - Ain Shams University
SN  - 20904479
EP  - 407
ER  -