The Application of Whale Optimization Algorithm for Optimal Placement of Autoreclosers in Improving the Reliability of Nigeria’s 330kV Electric Power System
The Application of Whale Optimization Algorithm for Optimal Placement of Autoreclosers in Improving the Reliability of Nigeria’s 330kV Electric Power System |
||
 |
 |
|
| © 2025 by IJETT Journal | ||
| Volume-73 Issue-10 |
||
| Year of Publication : 2025 | ||
| Author : Maman Jimoh Lawal, Oghenewvogaga Oghorada, Babatunde Adetokun | ||
| DOI : 10.14445/22315381/IJETT-V73I10P120 | ||
How to Cite?
Maman Jimoh Lawal, Oghenewvogaga Oghorada, Babatunde Adetokun,"The Application of Whale Optimization Algorithm for Optimal Placement of Autoreclosers in Improving the Reliability of Nigeria’s 330kV Electric Power System", International Journal of Engineering Trends and Technology, vol. 73, no. 10, pp.257-265, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I10P120
Abstract
This work considers the optimal placement of autoreclosers on Nigeria’s 330kV transmission network using the Whale Optimization Algorithm to enhance system reliability. The network model was developed in MATLAB, and the WOA was applied to identify optimal autorecloser locations. The reliability performance was evaluated using key indices: SAIDI, SAIFI, CAIDI, ASAI, EENS, and AENS. The results revealed that the SAIDI and SAIFI values were 0.1886 hr/customer.yr and 0.2439 f/customer.yr, respectively - indicating fewer and shorter interruptions. The ASAI gave a value of 99.99%, while the CAIDI’s value was 0.7733 hr/customer interruption, reflecting enhanced supply availability and quicker restoration times. Finally, the EENS and AENS gave 3270.64MWh/yr and 74.8118MWh/customer.yr, respectively, confirming minimized energy losses and better service delivery. The outcome of the WOA-based algorithm was compared with other algorithms from existing literature and found to perform better. Therefore, the results of the study confirm that the strategic optimization of the placement of auto-reclosers is a viable and impactful technique for improving the reliability and resilience of modern power systems.
Keywords
AENS, ASAI, EENS, CAIDI, SAIDI, SAIFI.
References
[1] Mohammad Zaher Ghorbani-Juybari, Hossein Gholizade-Narm, and Yaser Damchi, “Optimal Recloser Placement in Distribution System Considering Maneuver Points, Practical Limitations, and Recloser Malfunction,” International Transactions on Electrical Energy Systems, vol. 2022, no. 1, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Bratati Ghosh, Ajoy Kumar Chakraborty, and Arup Ratan Bhowmik, “Reliability and Efficiency Enhancement of a Radial Distribution System through Value-Based Auto-Recloser Placement and Network Remodelling,” Protection and Control of Modern Power Systems, vol. 8, no. 1, pp. 1-14, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Arif Mehdi et al., “A Comprehensive Review of Auto-Reclosing Schemes in AC, DC, and Hybrid (AC/DC) Transmission Lines,” IEEE Access, vol. 9, pp. 74325-74342, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Holger Santillán Carranza, and Gabriel Encalada, “Recloser Optimization in Electrical Distribution Systems using Reliability Analysis with Heuristic Algorithm,” Diagnostyka, vol. 25, no. 3, pp. 1-11, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mohd Tariq et al., “Optimal Placement of Reclosers in a Radial Distribution System for Reliability Improvement,” Electronics, vol. 10, no. 24, pp. 1-16, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Sonal Dhole et al., “Optimal Recloser Placement in Power Networks based on Reliability and Cost-Benefit Analysis,” 2021 31st Australasian Universities Power Engineering Conference (AUPEC), Perth, Australia, pp. 1-6, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] V.Ya. Lyubchenko, A.F. Iskhakov, and D.A. Pavlyuchenko, “Reclosers Optimal Allocation for Improving the Distribution Network Reliability,” Proceedings - 2021 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2021, Sochi, Russia, pp. 13-18, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Nicolas De Oliveira Perez Westin et al., “Optimal Recloser Placement in Distribution Systems Considering Voltage Sags and Interruptions,” SSRN Electronic Journal, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Rashid Niaz Azari, Mohammad Amin Chitsazan, and Iman Niazazari, “Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks,” American Journal of Electrical Power and Energy Systems, vol. 6, no. 1, pp. 1-6, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Geonho Kim, Tae-Hwan Kim, and Jun-Hyeok Kim, “Refinement of Recloser Operation and Safety Enhancement in Distribution Systems: A Study Based on Real Data,” Energies, vol. 17, no. 22, pp. 1-13, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] V.K. Abanihi et al., “Modeling and Evaluation of System Reliability for Auchi Distribution Network,” Direct Research Journal of Engineering and Information Technology, vol. 11, no. 6, pp. 108-121, 2023.
[Google Scholar] [Publisher Link]
[12] O.N. Igbogidi, and H.N. Amadi, “Reliability Assessment of Power Systems for Optimal Service Delivery,” Journal of Emerging Trends in Electrical Engineering, vol. 5, no. 3, pp. 7-15, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Ignatius Kema Okakwu, “Reliability Analysis of 11kV Ijebu-ode Secondary Distribution Sub-Station in Ogun State, Nigeria,” Nigerian Journal of Engineering, vol. 32, no. 1, pp. 2705-3954, 2025.
[Google Scholar] [Publisher Link]
[14] Parijata Majumdar et al., Whale Optimization Algorithm - Comprehensive Meta-Analysis on Hybridization, Latest Improvements, Variants and Applications for Complex Optimization Problems, Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications, pp. 81-90, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Jinzhong Zhang et al., “Using the Whale Optimization Algorithm to Solve the Optimal Reactive Power Dispatch Problem,” Processes, vol. 11, no. 5, pp. 1-14, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Muhammad Nadeem et al., “Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network using Whale Optimization Algorithm,” Energies, vol. 13, no. 3, pp. 1-24, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Ahmed M. Alshannaq et al., “Interline Power Flow Controller Allocation for Active Power Losses Enhancement using Whale Optimization Algorithm,” Energies, vol. 17, no. 24, pp. 1-20, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Ferry Rahmat Astianta Bukit, Hendra Zulkarnain, and Choirul Purnama Kusuma, “Optimizing Electric Vehicle Charging Station Placement Integrates Distributed Generations and Network Reconfiguration,” International Journal of Electrical and Computer Engineering (IJECE), vol. 14, no. 5, pp. 4929-4939, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Seyedali Mirjalili, and Andrew Lewis, “The Whale Optimization Algorithm,” Advances in Engineering Software, vol. 95, pp. 51-67, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[20] P. Dinakara Prasad Reddy, V. C. Veera Reddy, and T. Gowri Manohar, “Whale Optimization Algorithm for Optimal Sizing of Renewable Resources for Loss Reduction in Distribution Systems,” Renewables, vol. 4, no. 1, pp. 1-13, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Aram M. Ahmed et al., Balancing Exploration and Exploitation Phases in Whale Optimization Algorithm: An Insightful and Empirical Analysis, Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications, pp. 149-156, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Hardi M. Mohammed, Shahla U. Umar, and Tarik A. Rashid, “A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm,” Computational Intelligence and Neuroscience, vol. 2019, no. 1, pp. 1-25, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Mahmoud Soliman, Almoataz Y. Abdelaziz, and Rabab M. El-Hassani, “Distribution Power System Reconfiguration using Whale Optimization Algorithm,” International Journal of Applied Power Engineering (IJAPE), vol. 9, no. 1, pp. 48-57, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Getaye Yeshaneh, “Rapid Power Restoration and Network Reconfiguration for Power Distribution System Reliability Enhancement: A Case Study on Bahir Dar Power Distribution Systems,” International Journal of Advanced Research in Science and Technology (IJARST), vol. 12, no. 2, pp. 916-928, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Mian Elly G. Manaloto et al., “Radial Distribution Network Optimization through Protective Device Placement Scheme using Genetic Algorithm,” International Research Journal of Modernization in Engineering Technology and Science, vol. 6, no. 7, pp. 350-358, 2024.
[CrossRef] [Publisher Link]
[26] Seyed Mohammad Hashem et al., “A Genetic Algorithm Approach to Optimal Placement of Switching and Protective Equipment on a Distribution Network,” ARPN Journal of Engineering and Applied Sciences, vol. 11, no. 3, pp. 1395-1400, 2016.
[CrossRef] [Google Scholar] [Publisher Link]