Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique

Saharuddin, Nur Zawani and Abidin, Izham Zainal and Mokhlis, Hazlie (2018) Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique. Indonesian Journal of Electrical Engineering and Computer Science, 12 (1). pp. 261-268. ISSN 2502-4752, DOI https://doi.org/10.11591/ijeecs.v12.i1.pp261-268.

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Official URL: https://doi.org/10.11591/ijeecs.v12.i1.pp261-268


Network splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (transmission lines to be removed) to ensure that the implementation of network splitting does not cause the system to worsen. Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. Initial cutsets based heuristic technique is employed to help the convergence of the DEP optimization with minimal power flow disruptions as its fitness function. The techniques are validated using the IEEE 30 and IEEE 118-bus system. The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique.

Item Type: Article
Funders: Universiti Tenaga Nasional Internal Grant (UNITEN/RMC/1/14-1685)
Uncontrolled Keywords: Cascading failures; Network splitting; DEP optimization; Mutation technique; Minimal power disruption
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 08 Apr 2019 03:33
Last Modified: 08 Apr 2019 03:33
URI: http://eprints.um.edu.my/id/eprint/20820

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