UPM Institutional Repository

Reliability assessment of generating systems with wind power penetration via BPSO


Kadhem, Athraa Ali and Abdul Wahab, Noor Izzri and Aris, Ishak and Jasni, Jasronita and Abdalla, Ahmed N. and Matsukawa, Yoshiaki (2017) Reliability assessment of generating systems with wind power penetration via BPSO. International Journal on Advanced Science, Engineering and Information Technology, 7 (4). 1248 - 1254. ISSN 2088-5334; ESSN: 2460-6952


The growing pervasiveness of the Wind Energy Conversion System (WECS) in power systems has a great influence on the electrical system reliability in relation to other conventional sources for power generation. This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. The proposed methodology is based on hourly time series wind speed and uses Weibull model and simulation of the operation of generation system, taking into consideration the random failures of conventional units of the system and the fluctuating wind energy of a WECS. The BPSO algorithm adopts intelligent research to explore the meaningful system states and accelerate their integrated convergence, so that makes it feasible to locate all possible failure states in the system states space in order to calculate the reliability indices with WECS. The numerical simulation of the suggested solution is compared with the established Monte Carlo simulation (MCS). The reliability test system (IEEE-RTS-79) is employed to show the effectiveness of the proposed algorithm.

Download File

Text (Abstract)
Reliability assessment of generating systems with wind power penetration via BPSO.pdf

Download (5kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.18517/ijaseit.7.4.2311
Publisher: Indonesian Society for Knowledge and Human Development
Keywords: Reliability assessment; Wind power; Generating system; Binary particle swarm optimisation; Weibull model
Depositing User: Mas Norain Hashim
Date Deposited: 28 Sep 2018 10:45
Last Modified: 28 Sep 2018 10:45
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.18517/ijaseit.7.4.2311
URI: http://psasir.upm.edu.my/id/eprint/62947
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item