Optimal allocation and sizing of electrical substations using the crow search algorithm
DOI:
https://doi.org/10.21712/lajer.2024.v11.n2.p31-52Keywords:
Power Electrical Substations, Distribution System Planning, Optimization, Metaheuristics, Crow Search AlgorithmAbstract
The continuous increase in global demand for electrical energy has driven significant momentum in the energy sector worldwide. As highlighted in the latest report by the International Energy Agency (2022), the demand for electricity in 2021 reached an impressive 24,700 TWh, marking a 6% increase compared to the previous year, representing the largest growth since 2010. This context underscores the need for a robust and reliable electrical distribution system capable of meeting this growing demand without compromising service due to potential system inadequacies. In this regard, this paper proposes a novel approach to addressing the challenge of optimal allocation and sizing of electrical substations in distribution systems, based on the intelligence of crows, through the Crow Search Algorithm (CSA). Additionally, the developed method also organizes the connection of electrical substations to load centers. The primary objective is to minimize the overall costs of the substation allocation and sizing project, considering a set of technical and operational objectives and constraints. The metaheuristic tests were conducted on a distribution system presented in the literature, which includes 38 load centers and 6 existing substations, allowing for the establishment of different application scenarios of the method. The results indicate that the CSA is a promising method for solving the problem of optimal allocation and sizing of electrical substations.
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Askarzadeh, A., 2016. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm. Computers & Structures, 169, pp.1–12. https://doi.org/10.1016/j.compstruc.2016.03.001.
Behzadi, S. & Bagheri, A., 2023. A Convex Micro-Grid-Based Optimization Model for Planning of Resilient and Sustainable Distribution Systems Considering Feeders Routing and Siting/Sizing of Substations and DG Units. Sustainable Cities and Society, 97, p.104787. https://doi.org/10.1016/j.scs.2023.104787.
El-Fouly, T.H.M. et al., 2008. A new optimization model for distribution substation siting, sizing, and timing. International Journal of Electrical Power & Energy Systems, 30(5), pp.308–315. https://doi.org/10.1016/j.ijepes.2007.10.002.
Hongwei, D. et al., 1993. Optimal planning of distribution substation locations and sizes-model and algorithm. In Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation. IEEE. https://doi.org/10.1109/TENCON.1993.320655.
Hussien, A.G. et al., 2020. Crow Search Algorithm: Theory, Recent Advances, and Applications. IEEE Access, 8, pp.173548–173565. https://doi.org/10.1109/ACCESS.2020.3024108.
Ismael, S.M., Aleem, S.H.E.A. & Abdelaziz, A.Y., 2018. Optimal sizing and placement of distributed generation in Egyptian radial distribution systems using crow search algorithm. 2018 International Conference on Innovative Trends in Computer Engineering (ITCE). IEEE. https://doi.org/10.1109/ITCE.2018.8316646.
Jalilzade, S. & Bagheri, A., 2010. A new approach for Subtransmission System expansion planning with genetic algorithm. In International Congress on Ultra Modern Telecommunications and Control Systems. IEEE. https://doi.org/10.1109/ICUMT.2010.5676609.
Lavorato, M. et al., 2010. A Constructive Heuristic Algorithm for Distribution System Planning. IEEE Transactions on Power Systems, 25(3), pp.1734–1742. https://doi.org/10.1109/TPWRS.2009.2038164.
Li, L.-L. et al., 2018. Biogeography-based optimization based on population competition strategy for solving the substation location problem. Expert Systems with Applications, 97, pp.290–302. https://doi.org/10.1016/j.eswa.2017.12.039.
Nageswararao, M. et al., 2017. Multiple DG allocation by crow search algorithm for power loss reduction. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE. https://doi.org/10.1109/ICPCSI.2017.8391822.
Najafi, S. et al., 2009. Optimal distribution substation locating in large distribution systems. In 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific. IEEE. https://doi.org/10.1109/TD-ASIA.2009.5357019.
Najafi, S. & Gholizadeh, R., 2013. On optimal sizing, siting and timing of distribution substations. 18th Electric Power Distribution Conference. IEEE. https://doi.org/10.1109/EPDC.2013.6565964.
Osaba, E. et al., 2021. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm and Evolutionary Computation, 64, p.100888. https://doi.org/10.1016/j.swevo.2021.100888.
Pandey, A.K. & Kirmani, S., 2019. Placement of distributed generator in distribution systems using Crow search algorithm. 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE. https://doi.org/10.1109/UPCON47278.2019.8980157.
Queiroz, L.M.O. et al., 2012. Energy Losses Estimation in Power Distribution Systems. IEEE Transactions on Power Systems, 27(4), pp.1879–1887. https://doi.org/10.1109/TPWRS.2012.2188107.
QXG Technology, 2024. Power Transformer. Disponível em: https://www.qxgelec.com/110kv220kv-oil-immersed-power-transformer?gad_source=1&gclid=CjwKCAjwjqWzBhAqEiwAQmtgT5MUo7DCwCTG9HXY6ByI5vLh599-uriueDc92nWFRilOzcDnKiEF-hoC7WYQAvD_BwE [Acessado em 13 Jun. 2024].
Ravadanegh, S.N. & Roshanagh, R.G., 2013. A heuristic algorithm for optimal multistage sizing, siting and timing of MV distribution substations. Electric Power Systems Research, 105, pp.134–141. https://doi.org/10.1016/j.epsr.2013.07.019.
Sun, L. et al., 2018. Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers. IEEE Transactions on Smart Grid, 9(4), pp.3773–3782. https://doi.org/10.1109/TSG.2016.2642163.
Tassi Souza Silva, F., Ramos Araujo, L. & Rosana Ribeiro Penido, D., 2018. Optimal Substation Placement in Distribution Systems using Artificial Immune Systems. IEEE Latin America Transactions, 16(2), pp.505–513. https://doi.org/10.1109/TLA.2018.8327406.
Temraz, H.K. & Salama, M.M.A., 2002. A planning model for siting, sizing and timing of distribution substations and defining the associated service area. Electric Power Systems Research, 62(2), pp.145–151. https://doi.org/10.1016/S0378-7796(02)00040-8.
Vahedi, S., Banejada, M. & Assili, M., 2015. Optimal location, sizing and allocation of subtransmission substations using K-means algorithm. In 2015 IEEE Power & Energy Society General Meeting. IEEE. https://doi.org/10.1109/PESGM.2015.7286220.
Wang, F. et al., 2021. Research on Optimal Sizing and Location of Substation According to Point Load Forecast Based on BIM. In 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE. https://doi.org/10.1109/EI252483.2021.9712985.
Ye, Y. et al., 2023. Substation Location Planning Based on Multi-strategy Improved Marine Predators Algorithm. In 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE. https://doi.org/10.1109/ISKE60036.2023.10481305.
Zheng, N. et al., 2021. The Multi-Stage Substation Coordinated Planning Method Considering the Overall Economy. In 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE. https://doi.org/10.1109/EI252483.2021.9713264.
Zhou Quan et al., 2002. GIS based distribution system spatial load forecasting and the optimal planning of substation location and capacity. In Proceedings. International Conference on Power System Technology. IEEE. https://doi.org/10.1109/ICPST.2002.1047527.
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