RT Journal Article
A1 Reza Mohammadi Chabanloo
A1 Mohsen Safari
A1 Reza Gholizadeh Roshanagh

PB iet
T1 Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA–LP
JN IET Generation, Transmission & Distribution
VO 12
IS 21
SP 5879
OP 5890
AB In this study, using the concept of setting groups (SGs), an adaptive protection scheme is proposed to increase the reliability of the system. Connection and disconnection of switches and distributed generators result in various scenarios for network topology changes. A hybrid genetic algorithm (GA) and linear programming (LP) method is utilised to solve the problem, where the GA, in a near-optimal manner, classifies the scenarios of the network topology changes into a limited number of SGs and the LP algorithm optimally coordinates the overcurrent relays within the SGs. Simulations are performed on a radial distribution network and a meshed distribution network. Although by increasing the number of SGs the average operating time of the relays is decreased, the number of changes in the relay settings is increased. Therefore, the multi-objective optimisation algorithm is used to determine, the desired number of SGs. The results show the efficiency of the proposed adaptive protection scheme.
K1 adaptive overcurrent relay coordination
K1 setting groups concept
K1 switches
K1 multiobjective optimisation algorithm
K1 system reliability
K1 adaptive protection scheme
K1 radial distribution network
K1 meshed distribution network
K1 hybrid genetic algorithm
K1 distributed generators
K1 network topology changes
K1 linear programming method
K1 LP algorithm
K1 hybrid GA-LP
DO https://doi.org/10.1049/iet-gtd.2018.5810
UL https://digital-library.theiet.org/;jsessionid=1lj2t9h7bdbpi.x-iet-live-01content/journals/10.1049/iet-gtd.2018.5810
LA English
SN 1751-8687
YR 2018
OL EN