Multi-Objective Optimal Allocation of Electric Vehicle Charging Stations in Radial Distribution System Using Teaching Learning Based Optimization

Venkata K Babu Ponnam, K Swarnasri

Abstract


In recent times, the adoption rate of Electric Vehicles (EVs) in the transportation sector has been increased significantly across the world towards sustainability. On the other side, the increasing EV load penetration in the electric power sector can cause for the generation-demand imbalance, real power loss increment, weak voltage profile and consequently voltage stability margin decrement. It is essential to integrate EV Charging Stations (CSs) at appropriate locations to mitigate the impact of increasing EV load penetration on radial distribution systems (RDS). In this paper, the teaching-learning based optimization (TLBO) algorithm is applied to determine the optimal locations of EV-CSs considering multiple objectives, i.e., real power loss, average voltage deviation index and voltage stability index. The simulation studies are performed on standard IEEE 33-bus and 69-bus test systems. The results have highlighted the need for optimal allocation of EV-CSs for maintaining the system performance as better as possible even under increased loading conditions due to EV-CSs. Also, TLBO has shown its ability over other heuristic algorithms namely particle swarm optimization (PSO), ant lion Optimizer (ALO), flower pollination algorithm (FPA) and cuckoo search algorithm (CSA) by providing the optimal value consistently in solving the complex non-linear multi-objective optimization problem.

Keywords


Electric vehicles, charging stations, optimal allocation, multi-objective optimization, TLBO algorithm, radial distribution system.

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References


Ahmadu Adamu Galadima, Tahir Aja Zarma and Maruf A. Aminu, Review on optimal siting of electric vehicle charging infrastructure, Journal of Scientific Research & Reports 25(1): 1-10, 2019; Article no.JSRR.50681. DOI: 10.9734/JSRR/2019/v25i1-230175.

Henrik Fredriksson, Mattias Dahl, Johan Holmgren, Optimal placement of charging stations for electric vehicles in large-scale transportation networks, The 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019), November 4-7, 2019, Coimbra, Portugal, Procedia Computer Science 160 (2019) 77–84. DOI: 10.1016/j.procs.2019.09.446.

Caiyun Bian, Halong Li, Fredrik Wllin, Anders Avelin, Lu Lin, Zhixn Yu, Finding the optimal location for public charging statons – a GIS-based MILP approach, 10th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong, China, Energy Procedia 158 (2019) 6582 – 6588. DOI: 10.1016/j.egypro.2019.01.071.

Giuseppe Napoli, Antonio Polimeni, Salvatore Micari, Giorgio Dispenza, Vincenzo Antonucci, Optimal allocation of electric vehicle charging stations in a highway network: Part 2. The Italian case study, Journal of Energy Storage 26 (2019) 101015. DOI: 10.1016/j.est.2019.101015.

Hao Zhang, Lei Tang, Chen Yang, ShulinLan, Locating electric vehicle charging stations with service capacity using the improved whale optimization algorithm, Advanced Engineering Informatics 41 (2019) 100901. DOI: 10.1016/j.aei.2019.02.006.

Raphaela Pagany, Luis Ramirez Camargo & Wolfgang Dorner (2018): A review of spatial localization methodologies for the electric vehicle charging infrastructure, International Journal of Sustainable Transportation, DOI: 10.1080/15568318.2018.1481243.

Sanchari Deb, Kari Tammi, Karuna Kalita, and Pinakeswar Mahanta, Charging Station Placement for Electric Vehicles: A Case Study of Guwahati City, India, IEE Access, vol. 7, 2019, pp. 100270 – 100282. DOI: 10.1109/ACCESS.2019.2931055.

Han Chen, Jin Nie and Bichao Ye, PSO-based siting and sizing of electric vehicle charging stations, UPIOT & SGESG 2019. Journal of Physics: Conference Series 1346 (2019) 012022. DOI: 10.1088/1742-6596/1346/1/012022.

Andrés Arias Londoño and Mauricio Granada-Echeverri, Optimal placement of freight electric vehicles charging stations and their impact on the power distribution network, International Journal of Industrial Engineering Computations 10 (2019) 535–556. DOI: 10.5267/j.ijiec.2019.3.002.

Weiwei Kong, Yugong Luo, Guixuan Feng, Keqiang Li, Huei Peng, Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid, Energy 186 (2019) 115826, DOI: 10.1016/j.energy.2019.07.156.

Akanksha Shukla, Kusum Verma, Rajesh Kumar, Multi-objective synergistic planning of EV fast-charging stations in the distribution system coupled with the transportation network, IET Generation, Transmission & Distribution 2019, vol. 13 no. 15, pp. 3421-3432. DOI: 10.1049/iet-gtd.2019.0486.

B. Xavier, B. Henriques Dias, B. S. Moreira Cesar Borba and J. Quirós-Tortós, "Sizing and Placing EV Parking Lots: Challenges Ahead in Real Applications," 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), Gramado, Brazil, 2019, pp. 1-6. DOI: 10.1109/ISGT-LA.2019.8895420.

Shuang Gao, Hongjie Jia, Jiahao Liu, Chunhua. Liu, Integrated configuration and charging optimization of aggregated electric vehicles with renewable energy sources, 10th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong, China, Energy Procedia 158 (2019) 2986-2993. DOI: 10.1016/j.egypro.2019.01.968.

O. Beaude, S. Lasaulce, M. Hennebel and J. Daafouz, "Minimizing the impact of EV charging on the electricity distribution network," 2015 European Control Conference (ECC), Linz, 2015, pp. 648-653.DOI: 10.1109/ECC.2015.7330615

Olivier Beaude, Samson Lasaulce, Martin Hennebel, and Ibrahim Mohand-Kaci, Reducing the impact of EV charging operations on the distribution network, IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2666 – 2679, November 2016. DOI: 10.1109/TSG.2015.2489564.

L.G. González, E. Siavichay, J.L. Espinoza, Impact of EV fast charging stations on the power distribution network of a Latin American intermediate city, Renewable and Sustainable Energy Reviews 107 (2019) 309–318. DOI:10.1016/j.rser.2019.03.017.

Kumari Kasturi, ManasRanjan Nayak, Assessment of techno-economic benefits for smart charging scheme of electric vehicles in residential distribution system, Turk J Elec Eng& Comp Sci (2019) 27: 685 – 696. DOI:10.3906/elk-1801-34.

Sanchari Deb, Xiao‑ZhiGao, Kari Tammi, Karuna Kalita, and Pinakeswar Mahanta, Nature‑inspired optimization algorithms applied for solving charging station placement problem: overview and comparison, Archives of Computational Methods in Engineering, pp. 1-16, Nov 2019. DOI: 10.1007/s11831-019-09374-4.

Parvathy Chittur Ramaswamy Christian Czajkowski Raul Rodríguez Sanchez, Impact of electric vehicles on distribution network operation: real world case studies, CIRED Workshop - Helsinki 14-15 June 2016, Paper 0415, pp. 1-4.DOI: 10.1049/cp.2016.0749.

Yun Xia, Bo Hu, Kaigui Xie, Junjie Tang, and Heng-Ming Tai, An EV Charging demand model for the distribution system using traffic property, IEEE Access, vol. 7, pp. 28089 – 28099, 2019. DOI: 10.1109/ACCESS.2019.2901857.

Rao, R. V., Savsani, V. J and Vakharia, D. P. “Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problemsâ€, Comput. Adided Des., 43(3), pp. 303-315 (2011).DOI: 10.1016/j.cad.2010.12.015.

Hong Zhang, Masumi Ishikawa, “Characterization of particle swarm optimization with diversive curiosity,†Neural Computing and Applications, vol. 18, no. 5, pp 409–415, June 2009.DOI:10.1007/s00521-009-0252-4.

S. Mirjalili, The Ant Lion Optimizer, Advances in Engineering Software , vol. 83, pp. 80-98, 2015, DOI: 10.1016/j.advengsoft.2015.01.010.

Yang XS. (2012) Flower Pollination Algorithm for Global Optimization. In: Durand-Lose J., Jonoska N. (eds) Unconventional Computation and Natural Computation. UCNC 2012. Lecture Notes in Computer Science, vol 7445. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-32894-7_27.

Yang XS, Deb S. Engineering optimization by cuckoo search. Ar Xiv preprint arXiv:1005.2908. 2010 May 17.

Jen-HaoTeng, "A direct approach for distribution system load flow solutions," in IEEE Transactions on Power Delivery, vol. 18, no. 3, pp. 882-887, July 2003.DOI: 10.1109/TPWRD.2003.813818.

M. Chakravorty, D. Das, Voltage stability analysis of radial distribution networks, Electric Power and Energy System 23 (2001) 129–135.DOI: 10.1016/S0142-0615(00)00040-5.

M. E. Baran and F. F. Wu, "Optimal capacitor placement on radial distribution systems," in IEEE Transactions on Power Delivery, vol. 4, no. 1, pp. 725-734, Jan. 1989.DOI: 10.1109/61.19265.

Francis Mwasilu, Jackson John Justo, Eun-Kyung Kim, Ton Duc Do, Jin-Woo Jung, “Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration,†Renewable and Sustainable Energy Reviews 34 (2014) 501–516.DOI: 10.1016/j.rser.2014.03.031.

Injeti SK, Prema Kumar N. A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems. Int J Electr Power Energy Syst 2013;45(1):142–51.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i1.10453.g7882

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