Title of article :
Optimal topological design of power communication networks using genetic algorithm
Author/Authors :
Eshraghniaye Jahromi,، Abdolhamid نويسنده Associate Professor, Industrial Engineering, Sharif University of Technology, Iran, Tehran, , , Besharati Rad، Zohreh نويسنده pursuing her Ph.D. degree ,
Issue Information :
دوماهنامه با شماره پیاپی 53 سال 2013
Abstract :
An electric power supply is the backbone of development in advanced as well as in developing
economies. An integral part of ensuring a secure power supply system is a power communication system.
Due to the high and sustained performance requirements of power communication systems, electric
companies prefer to construct their own communication networks privately rather than relying solely
on a public communication system. The focus of this paper is on the optimal topological design of a power
communication network. Based on advanced optimization models in public communication networks, and
taking into account the specific Quality of Service, as demanded by various applications, such as protection,
SCADA, voice, etc., an optimization model (PC/ISO) has been developed. The PC/ISO requires tedious
numerical processing. Hence, a Genetic Algorithm (GA) is proposed to solve the optimization problem. In
order to demonstrate the application of the proposed model for a power system communication network
design and in order to evaluate GA solver results, a case study on designing the optimal communication
network topology of one of the Iranian Regional Electric Companies has been conducted. The results
suggest that the PC/ISO model and its GA solver are entirely viable and offer a simple, accurate, and cost
effective solution.
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)