Research Article

Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System

Volume: 2 Number: 2 October 31, 2022
  • Titus Ajewole
  • Olatunde Oladepo1
  • Kabiru Alani Hassan *
  • Abdulsemiu Alabi Olawuyi
  • Opeyemi Onarinde

Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System

Abstract

This paper presents compared performances of three metaheuristic algorithms in determining the cost of hybrid renewable energy system. Using genetic algorithm (GA), particle swarm optimization (PSO), and artificial bee colony (ABC), the best affordable sizes of solar photovoltaic array, battery bank, and a minimum-rated diesel generator that could be hybridized to meet the demand of a community in Southwest Nigeria were determined. Load profile, solar radia- tion, and temperature data were employed as required inputs, and the parameters of the algorithms were properly set to ensure the best result. Bonferroni– Holm method was deployed to ascertain the statistical significance among the algorithms. It was found that ABC produced the best configuration comprising 427 numbers of solar photovoltaic panels, 19 battery units, and 163.2 kW-rated diesel generator. With this, a total annualized cost of $167 284 and 0.2443 estimated cost of energy were obtained. These were the lowest when compared with PSO and GA. The t-test between PSO and ABC are both 5.83 × 10−10 < 0.01666667, between ABC and GA are 6.09 × 10−6 <0.01666667 and 6.09 × 10−6 <0.025, while between GA and PSO are 9.13 × 10−1 > 0.01666667 and 9.13 × 10−1 > 0.05. PSO/ABC and ABC/GA groups are clarified significant, while GA/PSO group is insignificant; post hoc test reveals that ABC produced the best result. Hence, a reliable and sustainable power supply at a reduced cost is guaranteed for the community.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics)

Journal Section

Research Article

Authors

Olatunde Oladepo1 This is me
0000-0002-2309-6792
Nigeria

Kabiru Alani Hassan * This is me
0000-0003-1671-5935
Nigeria

Abdulsemiu Alabi Olawuyi This is me
0000-0002-7583-5526
Nigeria

Opeyemi Onarinde This is me
0000-0002-2760-0554
Nigeria

Publication Date

October 31, 2022

Submission Date

February 12, 2022

Acceptance Date

April 16, 2022

Published in Issue

Year 2022 Volume: 2 Number: 2

APA
Ajewole, T., Oladepo1, O., Alani Hassan, K., Olawuyi, A. A., & Onarinde, O. (2022). Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System. Turkish Journal of Electrical Power and Energy Systems, 2(2), 134-146. https://doi.org/10.5152/tepes.2022.22012
AMA
1.Ajewole T, Oladepo1 O, Alani Hassan K, Olawuyi AA, Onarinde O. Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System. TEPES. 2022;2(2):134-146. doi:10.5152/tepes.2022.22012
Chicago
Ajewole, Titus, Olatunde Oladepo1, Kabiru Alani Hassan, Abdulsemiu Alabi Olawuyi, and Opeyemi Onarinde. 2022. “Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System”. Turkish Journal of Electrical Power and Energy Systems 2 (2): 134-46. https://doi.org/10.5152/tepes.2022.22012.
EndNote
Ajewole T, Oladepo1 O, Alani Hassan K, Olawuyi AA, Onarinde O (October 1, 2022) Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System. Turkish Journal of Electrical Power and Energy Systems 2 2 134–146.
IEEE
[1]T. Ajewole, O. Oladepo1, K. Alani Hassan, A. A. Olawuyi, and O. Onarinde, “Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System”, TEPES, vol. 2, no. 2, pp. 134–146, Oct. 2022, doi: 10.5152/tepes.2022.22012.
ISNAD
Ajewole, Titus - Oladepo1, Olatunde - Alani Hassan, Kabiru - Olawuyi, Abdulsemiu Alabi - Onarinde, Opeyemi. “Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System”. Turkish Journal of Electrical Power and Energy Systems 2/2 (October 1, 2022): 134-146. https://doi.org/10.5152/tepes.2022.22012.
JAMA
1.Ajewole T, Oladepo1 O, Alani Hassan K, Olawuyi AA, Onarinde O. Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System. TEPES. 2022;2:134–146.
MLA
Ajewole, Titus, et al. “Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System”. Turkish Journal of Electrical Power and Energy Systems, vol. 2, no. 2, Oct. 2022, pp. 134-46, doi:10.5152/tepes.2022.22012.
Vancouver
1.Titus Ajewole, Olatunde Oladepo1, Kabiru Alani Hassan, Abdulsemiu Alabi Olawuyi, Opeyemi Onarinde. Comparative Study of the Performances of Three Metaheuristic Algorithms in Sizing Hybrid-Source Power System. TEPES. 2022 Oct. 1;2(2):134-46. doi:10.5152/tepes.2022.22012