Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA–LP

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)...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 12; H. 21; S. 5879 - 5890
Hauptverfasser: Chabanloo, Reza Mohammadi, Safari, Mohsen, Roshanagh, Reza Gholizadeh
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 27.11.2018
Schlagworte:
adaptive overcurrent relay coordination
adaptive protection scheme
distributed generators
distributed power generation
genetic algorithms
hybrid GA‐LP
hybrid genetic algorithm
linear programming
linear programming method
LP algorithm
meshed distribution network
multiobjective optimisation algorithm
network topology changes
overcurrent protection
power distribution protection
power distribution reliability
power semiconductor switches
radial distribution network
relay protection
Research Article
setting groups concept
switches
system reliability
LP algorithm
linear programming method
radial distribution network
hybrid genetic algorithm
adaptive overcurrent relay coordination
adaptive protection scheme
system reliability
switches
meshed distribution network
linear programming
genetic algorithms
distributed power generation
power distribution protection
network topology changes
power distribution reliability
relay protection
hybrid GA-LP
overcurrent protection
setting groups concept
multiobjective optimisation algorithm
distributed generators
power semiconductor switches
ISSN:1751-8687, 1751-8695
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Beschreibung
Zusammenfassung: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.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.5810