Optimal Planning of Electric Vehicle Charging Station along with Multiple Distributed Generator Units

Автор: Devisree Chippada, M. Damodar Reddy

Журнал: International Journal of Intelligent Systems and Applications @ijisa

Статья в выпуске: 2 vol.14, 2022 года.

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Saving energy through the minimization of power losses in a distribution system is a key activity for efficient operation. Distributed Generation (DG) is one of the most efficient approaches to minimize losses. With increase in installation of Electric Vehicle Charging Stations (EVCSs) for Electrical Vehicles (EVs) in larger scale, optimal planning of EVCSs becomes a major challenge for distribution system operator. With increased EV load penetration in the electricity system, generation-demand mismatch and power losses increases. This results in poor voltage level, and deterioration in voltage stability margin. To mitigate the adverse impacts of increasing EV load penetration on Radial Distribution Systems (RDS), it is essential to integrate EVCSs at appropriate locations. The EVs integration into smart distribution systems involves Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) in charging and discharging modes of operation respectively for exchange of power with the grid thus resulting in energy management. The inappropriate planning of EVCSs causes a negative impact on the distribution system such as voltage deviation and an increase in power losses. In order to minimize this, DG units are integrated with EVCSs. The DGs assist in keeping the voltage profile within limitations, resulting in reduced power flows and losses, thereby enhancing power quality and reliability. Therefore, the DGs should be optimally allocated and sized along with the EVCS to avoid problems such as protection, voltage rise, and reverse power flow problems. This paper showcases a method to minimize losses using optimal location and sizing of multiple DGs and EVCS operating in G2V and V2G modes. The sizing and location of different types of DG units including renewables and non-renewables along with EV charging station is proposed in this study. This methodology overall reduces the power losses and also improves voltages of the network. The implementation is done by using the Simultaneous Particle Swarm Optimization technique (PSO) for IEEE 15, 33, 69 and 85 bus systems. The results indicate that the proposed optimization technique improves efficiency and performance of the system by optimal planning and operation of both DGs and EVs.

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Distributed Generation, Particle Swarm Optimization (PSO), EV Charging Station, Smart Grid

Короткий адрес: https://sciup.org/15018355

IDR: 15018355   |   DOI: 10.5815/ijisa.2022.02.04

Список литературы Optimal Planning of Electric Vehicle Charging Station along with Multiple Distributed Generator Units

  • M. S. K. Reddy and K. Selvajyothi, "Optimal Placement of Electric Vehicle Charging Stations in Radial Distribution System along with Reconfiguration," 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), Chennai, India, 2019, pp. 1-6, doi: 10.1109/ICESIP46348.2019.8938164.
  • Saeid Soudi,"Distribution System Planning With Distributed Generations Considering Benefits and Costs", IJMECS, vol.5, no.9, pp.45-52, 2013.DOI: 10.5815/ijmecs.2013.09.07
  • Devisree Chippada, M. Damodar Reddy, “Mathematical modeling and simulation of energy management in smart grid,” International Journal of Smart Grid and Clean Energy (SGCE), vol. 9, no. 4, July 2020, doi: 10.12720/sgce.9.4.746-755.
  • Surender Kumar, M.K. Soni, D. K. Jain,"Monitoring of Wide Area Power System Network with Phasor Data Concentrator (PDC)", IJIEEB, vol.7, no.5, pp.20-26, 2015. DOI: 10.5815/ijieeb.2015.05.04
  • Islam, Md. Mainul & Shareef, Hussain & Mohamed, Azah. (2015), “A Review of Techniques for Optimal Placement and Sizing of Electric Vehicle Charging Stations”,Przeglad Elektotechniczy (Electrical Review). 91. 122-126, doi: 10.15199/48.2015.08.29.
  • Mazumder, Mondeep & Debbarma, Sanjoy. (2020). EV Charging Stations With a Provision of V2G and Voltage Support in a Distribution Network. IEEE Systems Journal. PP. 1-10. doi: 10.1109/JSYST.2020.3002769.
  • S. Deb, K. Tammi, K. Kalita, P. Mahanta, Impact of electric vehicle charging station load on distribution network. Energies. 11 (2018), doi: 10.3390/en11010178.
  • Yuttana Kongjeen, Krischonme Bhumkittipich. "Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis", Energies, 2018, Energies. 11. 1571, doi: 10.3390/en11061571.
  • Hemakumar Reddy Galiveeti, Arup Kumar Goswami, Nalin B. Dev Choudhury, Impact of plug-in electric vehicles and distributed generation on reliability of distribution systems, Engineering Science and Technology, an International Journal, Volume 21, Issue 1, 2018, Pages 50-59, ISSN 2215-0986. https://doi.org/10.1016/j.jestch.2018.01.005
  • Kang Miao Tan, Vigna K. Ramachandaramurthy, Jia Ying Yong, Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques, Renewable and Sustainable Energy Reviews, Volume 53, 2016, Pages 720-732, ISSN 1364-0321. https://doi.org/10.1016/j.rser.2015.09.012.
  • Zhang, Mingsheng. (2018). Location Planning of Electric Vehicle Charging Station. IOP Conference Series: Materials Science and Engineering. 394 (2018) 042126, doi:10.1088/1757-899X/394/4/042126.
  • Shinde, Priyanka & Swarup, K.s. (2016). Optimal generation and reactive power scheduling of plug-in electric vehicles in V2G environment. 1-6, doi: 10.1109/ICTFCEN.2016.8052729.
  • M. Bagheri Tookanlou, M. Marzband, A. Al Sumaiti and A. Mazza, "Cost-benefit analysis for multiple agents considering an electric vehicle charging/discharging strategy and grid integration," 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), Palermo, Italy, 2020, pp. 19-24, doi: 10.1109/MELECON48756.2020.9140637.
  • Xiangwu Yan, Cong Duan, Xiao Chen and Zhengyang Duan, "Planning of Electric Vehicle charging station based on hierarchic genetic algorithm," 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, 2014, pp. 1-5, doi: 10.1109/ITEC-AP.2014.6941087.
  • Hassan Fathabadi, Utilization of electric vehicles and renewable energy sources used as distributed generators for improving characteristics of electric power distribution systems, Energy, Volume 90, Part 1,2015, Pages 1100-1110, ISSN 0360-5442, doi: 10.1016/j.energy.2015.06.063
  • L. Bagherzadeh, H. Shahinzadeh and G. B. Gharehpetian, "Scheduling of Distributed Energy Resources in Active Distribution Networks Considering Combination of Techno-Economic and Environmental Objectives," 2019 International Power System Conference (PSC), Tehran, Iran, 2019, pp. 687-695, doi: 10.1109/PSC49016.2019.9081477.
  • Moradijoz, Mahnaz & Moghaddam, M. & Haghifam, M.-R & Alishahi, E.. (2013). A multi-objective optimization problem for allocating parking lots in a distribution network. International Journal of Electrical Power & Energy Systems. 46. 115–122, doi: 10.1016/j.ijepes.2012.10.041.
  • Z. Liu, F. Wen and G. Ledwich, "Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems," in IEEE Transactions on Power Delivery, vol. 28, no. 1, pp. 102-110, Jan. 2013, doi: 10.1109/TPWRD.2012.2223489.
  • Dinakara Prasad Reddy P., Veera Reddy V.C., Gowri Manohar T., “Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms”, Journal of Electrical Systems and Information Technology, Volume 5, Issue 2, 2018, Pages 175-191, doi: 10.1016/j.jesit.2017.05.006.
  • A.Alghamdi and Y.A.Al-Turki, “Particle swarm optimization based power flow considering distributed generation”, 2017 Saudi Arabia Smart Grid (SASG), Jeddah, 2017, pp. 1-6, doi: 10.1109/SASG.2017.8356510.
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