Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
Document Type
Article
Publication Date
1-1-2018
Abstract
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.
Keywords
Cascading failures, Network splitting, DEP optimization, Mutation technique, Minimal power disruption
Divisions
fac_eng
Funders
Universiti Tenaga Nasional Internal Grant (UNITEN/RMC/1/14-1685)
Publication Title
Indonesian Journal of Electrical Engineering and Computer Science
Volume
12
Issue
1
Publisher
Institute of Advanced Engineering and Science