Work

Series-Parallel Power System Optimization Using Firefly Algorithm

Year: 2015

Type: article

Abstract: In this paper, we try to solve the Redundancy Optimization Problem (ROP) using a recent bio-inspired meta-heuristic that is Firefly Algorithm (FA) combined to Universal Moment Generating Function (UMGF).The problem consists on selecting the appropriate components from a multi-state system (MSS) given the minimum cost. The solution must also fulfill a system reliability constraint. The reliability in our work is considered as the ability to satisfy the demand and is calculated using u-tranform technique. Our algorithm was tested on a system contained multiple choices of five subsystems from a list of product available in the market. The components of each subsystem are characterized by their cost, performance (capacity) and availability. The results obtained by the proposed algorithm are compared with several algorithm founds in literature.

Source: International Journal on Electrical Engineering and Informatics

DOI: 10.15676/ijeei.2015.7.1.7

Authors: Khaled Guerraiche, Mostefa Rahli, Abdelkader Zeblah, Latifa Dekhici

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2325970547

FWCI: 1.204

Cites: 13

Cited by: 7

Related to: 10