Reliability Assessment of Generating Systems with Wind Power Penetration via BPSO

Athraa Ali Kadhem (1), Noor Izzri Abdul Wahab (2), Ishak Aris (3), Jasronita Jasni (4), Ahmed N. Abdalla (5), Yoshiaki Matsukawa (6)
(1) Faculty of Electrical & Electronic Engineering, University Putra Malaysia, Selangor, 43400, Malaysia
(2) Faculty of Electrical & Electronic Engineering, University Putra Malaysia, Selangor, 43400, Malaysia
(3) Faculty of Electrical & Electronic Engineering, University Putra Malaysia, Selangor, 43400, Malaysia
(4) Faculty of Electrical & Electronic Engineering, University Putra Malaysia, Selangor, 43400, Malaysia
(5) Faculty of Engineering Technology, University Malaysia Pahang, Kuantan 26300, Malaysia
(6) Faculty of Electrical & Electronic Engineering, Kyushu Institute of Technology,1-1, Sensul-cho Tobataku Kitakyushu Fukuoka 8048550, Japan
Fulltext View | Download
How to cite (IJASEIT) :
Ali Kadhem, Athraa, et al. “Reliability Assessment of Generating Systems With Wind Power Penetration via BPSO”. International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, Aug. 2017, pp. 1248-54, doi:10.18517/ijaseit.7.4.2311.
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.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).