Optimal Location Placement of EVFCS in Distribution Network Using Genetic Algorithm

Abstract

In recent times, as the number of electrical vehicle (EV) became increased, many researches has been done on finding the optimal placement of Electrical Vehicle Charging Stations (EVCS). EV research has become one of the most fascinating, interesting, intriguing and exciting field areas in transportation system due to its low CO2 emission, lower energy consumption and high efficiency. It also has lower maintenance costs compared to normal internal combustion engine vehicles. Inappropriate placement of EVCS lead to under-utilization, grid strain, traffic and safety concerns, limited accessibility, environmental and zoning issues. In this study, Genetic Algorithm (GA) based approach model for electrical distribution network are developed to find best placement of Electrical Vehicle Fast Charging Station (EVFCS). Model has been developed to optimize the location of EVFCS in the power distribution network. The distance from each proximity area to EVFCS is considered as objective function of problem formulation and constructed for the acquired model. In this research, the power loss cost of distribution network, fixed installation cost and the line cost of EVFCS are analyzed. The duration time for EVCS is determined and the optimal time is identified. The GA use crossover, mutation, and selection to distribute EVFCS in a way that would best place them in various proximity areas. According to the results the proposed optimal controller outperforms best performance and efficient energy used.

Keywords

• Optimal location
• distribution network
• fast charging station
• genetic algorithm

Genetik Algoritma Kullanılarak Dağıtım Ağında EAHŞİ'nin Optimum Konum Yerleşimi

Abstract

Son zamanlarda, elektrikli araç (EV) sayısı arttıkça, Elektrikli Araç Şarj İstasyonları'nın (EVCS) optimum yerleşimini bulmak için birçok araştırma yapılmıştır. EV araştırmaları, düşük CO2 emisyonu, daha düşük enerji tüketimi ve yüksek verimliliği nedeniyle ulaşım sistemindeki en büyüleyici, ilginç, merak uyandırıcı ve heyecan verici alan alanlarından biri haline gelmiştir. Ayrıca, normal içten yanmalı motorlu araçlara kıyasla daha düşük bakım maliyetlerine sahiptir. EVCS'nin uygunsuz yerleşimi, yetersiz kullanıma, şebeke zorlanmasına, trafik ve güvenlik endişelerine, sınırlı erişilebilirliğe, çevresel ve imar sorunlarına yol açar. Bu çalışmada, Elektrikli Araç Hızlı Şarj İstasyonu'nun (EVFCS) en iyi yerleşimini bulmak için elektrik dağıtım şebekesi için Genetik Algoritma (GA) tabanlı yaklaşım modeli geliştirilmiştir. Model, güç dağıtım şebekesinde EVFCS'nin yerini optimize etmek için geliştirilmiştir. Her yakınlık alanının EVFCS'ye olan uzaklığı, problem formülasyonunun nesnel fonksiyonu olarak kabul edilmiş ve edinilen model için oluşturulmuştur. Bu araştırmada, dağıtım şebekesinin güç kaybı maliyeti, sabit kurulum maliyeti ve EVFCS'nin hat maliyeti analiz edilmiştir. EVCS için süre belirlenir ve en uygun zaman tanımlanır. GA, EVFCS'yi çeşitli yakınlık alanlarına en iyi şekilde yerleştirecek şekilde dağıtmak için çaprazlama, mutasyon ve seçilim kullanır. Sonuçlara göre önerilen en uygun denetleyici en iyi performansı ve kullanılan verimli enerjiyi geride bırakmaktadır.

Keywords

• Optimum lokasyon
• dağıtım ağı
• hızlı şarj istasyonu
• genetik algoritma

References

1. [1] Du, Y., Li, X., Mao, S., Cai, B., He, J., & Nie, W. (2024, May). Optimal placement of EV charging stations based on genetic algorithm. In Proceedings of the 36th Chinese Control and Decision Conference (CCDC, 2024), (pp.5721–5726). https://doi.org/10.1109/CCDC62350.2024.10587625
2. [2] Srinivas, D., & Ramasekhara Reddy, M. (2022, December). Optimal placement of EV charging station by considering dynamic loads in radial distribution system. In Proceedings of the International Conference on Automation, Computing and Renewable Systems (ICACRS 2022) (pp. 212–217). https://doi.org/10.1109/ICACRS55517.2022.10029303
3. [3] Rajendran, A., & Hari Kumar, R. (2022, January). Optimal placement of EV charging stations in utility grid: A case study of Kerala state highway network. In Proceedings of the IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE 2022) (pp. 1–6). https://doi.org/10.1109/PESGRE52268.2022.9715934
4. [4] Sabarimuthu, M., Senthilnathan, N., Monnisha, A. M., Kamalesh Kumar, V., Krithika Sree, S., & Mala Sundari, P. (2021). Measurement and analysis of power quality issues due to EV charger. IOP Conference Series: Materials Science and Engineering, 1055(1), 012131. https://doi.org/10.1088/1757-899X/1055/1/012131
5. [5] Ageev, V. A., Dushutin, K. A., Kazakov, D. V., & Golobokov, S. V. (2022, March). Approach to determining the power and location of transformer substations. In Proceedings of the 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE 2022) (pp. 1–5). https://doi.org/10.1109/REEPE53907.2022.9731365
6. [6] Hasan, R., Viele, M., Winters, W., & Allen, D. J. (2020, September). Optimization of transformer sparing and replacement strategies using probabilistic simulation. In Proceedings of the IEEE International Conference on Power System Technology (POWERCON 2020). https://doi.org/10.1109/POWERCON48463.2020.9230536
7. [7] Sadhukhan, A., Sivasubramani, S., & Ahmad, M. S. (2019, December). Optimal placement of EV charging stations in a distribution network. In Proceedings of the 8th International Conference on Power Systems: Transition Towards Sustainable, Smart and Flexible Grids (ICPS 2019) (pp. 1–6). https://doi.org/10.1109/ICPS48983.2019.9067670
8. [8] Sriabisha, R., & Yuvaraj, T. (2023, March). Optimum placement of EV charging station using particle swarm optimization algorithm. In Proceedings of the 9th International Conference on Electrical Energy Systems (ICEES 2023) (pp. 283–288). https://doi.org/10.1109/ICEES57979.2023.10110213

9. [9] Pal, A., Chakraborty, A. K., & Bhattacharya, A. (2019, December). Allocation of EV fast charging station with V2G facility in distribution network. In Proceedings of the 8th International Conference on Power Systems (ICPS 2019). https://doi.org/10.1109/ICPS48983.2019.9067520
10. [10] Ahmad, F., Marzband, M., Iqbal, A., Ashraf, I., & Khan, I. (2022, January). Placement of EV fast charging stations using grey wolf optimization in electrical distribution network. In Proceedings of the IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE 2022). https://doi.org/10.1109/PESGRE52268.2022.9715842
11. [11] Yenigün, O., Boyar, T., & Yıldız, K. (2024). Determination of optimal location of electrical vehicle charging stations in Istanbul with genetic algorithm and geographical systems. Bilişim Teknolojileri Dergisi, 17(1), 1–9. https://doi.org/10.17671/gazibtd.1329029
12. [12] Zubiria, A., Menéndez, Á., Grande, H. J., Meneses, P., & Fernández, G. (2022). Multi-criteria decision-making problem for energy storage technology selection for different grid applications. Energies, 15(20), 1–25. https://doi.org/10.3390/en15207612
13. [13] Kaya, F., & Akar, O. (2024). Short circuit effects on HV feeders of optimally located EV fast charging stations. IEEE Access, 12, 47842–47853. https://doi.org/10.1109/ACCESS.2024.3383433
14. [14] Kaya, F., & Akar, O. (2024, June). Effect on short circuit in the LV feeder of an electric vehicle fast charging station. In Proceedings of the 6th Global Power, Energy and Communication Conference (GPECOM 2024) (pp. 305–309). https://doi.org/10.1109/GPECOM61896.2024.10582645
15. [15] Gupta, R. S., Tyagi, A., & Anand, S. (2021). Optimal allocation of electric vehicle charging infrastructure, policies and future trends. Journal of Energy Storage, 43, 103291. https://doi.org/10.1016/j.est.2021.103291
16. [16] P. N., R., & K., K. (2022). Application of AOA algorithm for optimal placement of electric vehicle charging station to minimize line losses. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4183173
17. [17] Suresh, V., Muralidharan, N., Babu, T. S., Kumar, S. S., & others. (2021). Optimal location of an electrical vehicle charging station in a local microgrid using an embedded hybrid optimizer. International Journal of Electrical Power & Energy Systems, 131, 106979. https://doi.org/10.1016/j.ijepes.2021.106979
18. [18] Woo, H., Son, Y., Cho, J., Kim, S.-Y., & Choi, S. (2023). Optimal expansion planning of electric vehicle fast charging stations. Applied Energy, 342, 121116. https://doi.org/10.1016/j.apenergy.2023.121116
19. [19] Awasthi, A., Venkitusamy, K., Padmanaban, S., Selvamuthukumaran, R., Blaabjerg, F., & Singh, A. K. (2017). Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm. Energy, 133, 70–78. https://doi.org/10.1016/j.energy.2017.05.094
20. [20] Deb, S., Gao, X.-Z., Tammi, K., Kalita, K., & Mahanta, P. (2021). A novel chicken swarm and teaching learning based algorithm for electric vehicle charging station placement problem. Energy, 220, 119645. https://doi.org/10.1016/j.energy.2020.119645
21. [21] Polisetty, S. P. R. S., Jayanthi, R., & Sai Veerraju, M. (2023). An intelligent optimal charging stations placement on the grid system for the electric vehicle application. Energy, 285, 129500. https://doi.org/10.1016/j.energy.2023.129500
22. [22] Heo, J., & Chang, S. (2024, January). Deep reinforcement learning for optimal planning of fast electric vehicle charging stations at a large scale. In Proceedings of Computing in Civil Engineering 2023 (pp. 680–688). https://doi.org/10.1061/9780784485248.082
23. [23] Lamontagne, S., Carvalho, M., Frejinger, E., Gendron, B., Anjos, M. F., & Atallah, R. (2023). Optimising electric vehicle charging station placement using advanced discrete choice models. INFORMS Journal on Computing, 35(5), 1195–1213. https://doi.org/10.1287/ijoc.2022.0185
24. [24] Wang, J., Kaushik, H. D., & Zhang, J. (2024, April). Optimal planning of electric vehicle charging stations: Integrating public charging networks and transportation congestion. In Proceedings of the IEEE Kansas Power and Energy Conference (KPEC 2024) (pp. 1–6). https://doi.org/10.1109/KPEC61529.2024.10676118
25. [25] Massarat, R., & Thomas, M. S. (2023, May). A review of the optimal allocation of electric vehicle charging stations. In Proceedings of the 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) (pp. 547–553). https://doi.org/10.1109/REEDCON57544.2023.10151058
26. [26] Deeum, S., Charoenchan, T., Janjamraj, N., Romphochai, S., Baum, S., Ohgaki, H., Mithulananthan, N., & Bhumkittipich, K. (2023). Optimal placement of electric vehicle charging stations in an active distribution grid with photovoltaic and battery energy storage system integration. Energies,16(22), 7628. https://doi.org/10.3390/en16227628
27. [27] Tayyab, M., Helm, S., Hauer, I., Brinken, J., & Schmidtke, N. (2020, June). Infrastructure linking for placement of charging stations using Monte Carlo simulation. In Proceedings of the 6th IEEE Congress on Information Science and Technology (CiSt 2020) (pp. 436–441). https://doi.org/10.1109/CIST49399.2021.9357172
28. [28] Sai Siddarth Reddy, M., Sai Venkata Nitin, B., & Narayana, G. (2024). The optimal placement model for electric vehicle charging stations using Bayesian networks. MATEC Web of Conferences, 392, 01070. https://doi.org/10.1051/matecconf/202439201070
29. [29] Sachan, S. (2023, January). Multi-objective location of EVCS by CSO-driven heuristics. In Proceedings of the International Conference on Power Electronics and Energy (ICPEE 2023) (pp. 1–4). https://doi.org/10.1109/ICPEE54198.2023.10060388
30. [30] Tiu, J., Ramharack, S., & Hosein, P. (2023, November). On the optimal placement of electric vehicle charging stations. In Proceedings of the IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD 2023) (pp. 1–5). https://doi.org/10.1109/ICTMOD59086.2023.10438130
31. [31] Govind, D. S., & Fozdar, M. (2024, December). Optimal location and impact analysis of fast charging station on distribution system. In Proceedings of the IEEE 11th Power India International Conference (PIICON 2024) (pp. 1–6). https://doi.org/10.1109/PIICON63519.2024.10995091
32. [32] Yücenurşen, A., & Samancı, A. (2023). Battery selection criteria for EVs: Techno-economic analysis. International Journal of Automotive Engineering and Technologies, 12(2), 65–74. https://doi.org/10.18245/ijaet.1216888
33. [33] Suwanda, R., Syahputra, Z., & Zamzami, E. M. (2020). Analysis of Euclidean distance and Manhattan distance in the K-means algorithm for variations in the number of centroid K. Journal of Physics: Conference Series, 1566(1), 012058. https://doi.org/10.1088/1742-6596/1566/1/012058
34. [34] Kablopiyasa. (2024, December 28). 4×185+YAVV NAYY aluminum conductor low voltage cable.
35. [35] Amazon. (2024, December 28). Connector for EV vehicles universal SAE J1772 approved EV charger with holder J hook and plug lock for EV charging stations.
36. [36] Antarasee, P., Premrudeepreechacharn, S., Siritaratiwat, A., & Khunkitti, S. (2023). Optimal design of EV fast-charging station's structure using metaheuristic algorithms. Sustainability, 15(1), 771. https://doi.org/10.3390/su15010771