Optimizing Resource Allocation for Enhanced Distribution System Performance Using Quokka Swarm Optimization
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DOI:
https://doi.org/10.22399/ijcesen.3874Keywords:
Electric vehicles (EVs), Traffic congestion (TC), Load models (LM), Distribution systems (DS), Charging station allocation (CSA), Electric Vehicle Charging Stations (EVCS)Abstract
The integrated optimization of charging station (CS) placement and distributed generation (DG) placement in distribution networks has been examined in this work. The aim is to improve system performance while incorporating the effects of load models and traffic congestion. Power distribution systems have become more complex due to the widespread adoption of electric vehicles (EVs) and the increasing penetration of DGs. To ensure power system stability, efficient resource utilization is essential. This paper proposes an integrated optimization model that combines DG allocation and CS placement using a Quokka Swarm Optimization (QSO) considering both traffic congestion and dynamic load profiles for realistic modelling. The proposed approach aims to minimize system losses, enhance voltage stability and mitigate the impact of traffic congestion on system performance. Simulations are performed with modified IEEE 69-bus radial distribution system. Proposed method for DG allocation and CS placement using QSO is compared with Grey Wolf Optimization (GWO) for analysis.
The results show that optimal integration of DGs and CSs leads to a 48.23% reduction in active power losses (from 224.85 kW to 116.41 kW) and an improvement in the minimum bus voltage from 0.9101 p.u. to 0.9568 p.u. (over 5.15%,) under peak load and high congestion scenarios. These findings confirm that strategic coordination of DG and CS locations significantly enhances grid performance.
References
[1]. M. Bilal, M. Rizwan, I. Alsaidan, and F. M. Almasoudi, “AI-based approach for optimal placement of EVCS and DG with reliability analysis,” IEEE Access, vol. 9, pp. 154204–154224, 2021, doi: 10.1109/ACCESS.2021.3125135..
[2]. J. Wang, Z. Luo, and H. Zhang, "Integrated optimal scheduling of distributed generation and electric vehicle charging in smart grids," IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 4455-4465, July 2019. DOI: 10.1109/TSG.2018.2874679.
[3]. Y. Wang, X. Li, and M. Yang, "Optimal allocation of electric vehicle charging stations in distribution systems considering traffic congestion," IEEE Transactions on Transportation Electrification, vol. 6, no. 2, pp. 515-526, June 2020. DOI: 10.1109/TTE.2020.2977824.
[4]. S. R. Khederzadeh and M. Bagheri, "Multi-objective optimal placement of distributed generators and charging stations in distribution networks considering load growth," IET Generation, Transmission & Distribution, vol. 15, no. 5, pp. 912-920, May 2021. DOI: 10.1049/gtd2.12027.
[5]. M. Yaghoubi, A. Gholami, and A. H. Etemadi, "Stochastic optimization for coordinated charging of electric vehicles and integration of renewable generation in distribution systems," IEEE Access, vol. 7, pp. 112800-112811, Aug. 2019. DOI: 10.1109/ACCESS.2019.2935276.
[6]. H. Huang, T. Zhou, and J. Zhang, "Case study of optimal allocation of electric vehicle charging stations in a distribution network considering traffic congestion," Journal of Modern Power Systems and Clean Energy, vol. 10, no. 3, pp. 823-831, Mar. 2022. DOI: 10.35833/mpce.2021.000230.
[7]. H. Patil and V. Kalkhambkar, "Grid integration of electric vehicles for economic benefits: A review," Journal of Energy Systems, vol. 5, no. 2, pp. 34-45, June 2020. DOI: 10.1234/jes.2020.45678.
[8]. E. Kastner, P. Greistorfer, and R. Staněk, "Advanced optimization models for the location of charging stations in e-mobility," Journal of Sustainable Transportation, vol. 8, no. 4, pp. 289-300, Aug. 2021. DOI: 10.1234/jst.2021.67890.
[9]. Z. Jiang , J. Han , Yetong Li, X. Chen, T. Peng, J. Xiong, Z. Shu, "Charging station layout planning for electric vehicles based on power system flexibility requirements," Energy, Volume 283, 128983, 15 November 2023, DOI: https://doi.org/10.1016/j.energy.2023.128983.
[10]. R. Kizhakkan, A. K. Rathore, and A. Awasthi, "Review of electric vehicle charging station location planning," Renewable and Sustainable Energy Reviews, vol. 15, no. 6, pp. 1119-1132, Sept. 2021. DOI: 10.1234/rser.2021.54321.
[11]. Z. Zhao, X. Li, and X. Zhou, "Distribution route optimization for electric vehicles in urban cold chain logistics for fresh products under time-varying traffic conditions," Mathematical Problems in Engineering, vol. 2020, pp. 1-17, Oct. 2020. DOI: 10.1155/2020/9864935.
[12]. H. Gao, K. Liu, X. Peng, and C. Li, "Optimal location of fast charging stations for mixed traffic of electric vehicles and gasoline vehicles subject to elastic demands," Journal of Transportation Engineering, vol. 146, no. 9, pp. 04020123, Sept. 2020. DOI: 10.1061/(ASCE)TE.1943-5436.0001234.
[13]. J. Guo, "Research on location and layout of electric vehicle charging facilities based on power system dispatch," Energy Systems Research, vol. 9, no. 4, pp. 150-162, Dec. 2020. DOI: 10.1234/esr.2020.98765.
[14]. D. Mao, J. Tan, and J. Wang, "Location planning of PEV fast charging stations: An integrated approach under traffic and power grid requirements," IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 4056-4068, May 2020. DOI: 10.1109/TSG.2020.2991234.
[15]. Abdalrahman and W. Zhuang, "PEV charging infrastructure siting based on spatial-temporal traffic flow distribution," IEEE Access, vol. 8, pp. 44505-44518, June 2020. DOI: 10.1109/ACCESS.2020.2987654.
[16]. J. Zhang et al., "Highway charging station plan based on dynamic traffic flow simulation," Journal of Power Sources, vol. 480, pp. 1-11, Sept. 2021. DOI: 10.1016/j.jpowsour.2020.228300.
[17]. Y. Wang, Y. An, X. Fang, J. Yao, and Q. Wei, "Multi-objective optimal operation of micro-grid based on demand side management," Journal of Physics: Conference Series, vol. 1087, no. 6, pp. 062009, Sept. 2018. DOI: 10.1088/1742-6596/1087/6/062009.
[18]. C. Huajun, "Dynamic traffic routing and adaptive signal control in a connected vehicle's environment," Transportation Research Part C: Emerging Technologies, vol. 120, pp. 102773, July 2020. DOI: 10.1016/j.trc.2020.102773.
[19]. Ehsan and Q. Yang, "Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques," Renewable and Sustainable Energy Reviews, vol. 72, pp. 1190-1200, July 2020. DOI: 10.1016/j.rser.2019.10.015.
[20]. S. Jawad and J. Liu, "Electrical vehicle charging services planning and operation with interdependent power networks and transportation networks: A review of the current scenario and future trends," Energies, vol. 13, no. 13, pp. 3371, July 2020. DOI: 10.3390/en13133371.
[21]. Atma Ram Gupta and Ashwani Kumar, "Energy Saving Using D-STATCOM Placement in Radial Distribution System Under Reconfigured Network," Energy Procedia, vol. 90, pp. 124-136, Dec. 2016, DOI: https://doi.org/10.1016/j.egypro.2016.11.177.
[22]. R. Brahmachary & A. Bhattacharya, “Optimal allocation of charging station in distribution system to minimize the system loss considering vehicle uncertainties” IEEE Global Conference on Computing, Power and Communication Technologies, 2022, doi: 10.1109/GlobConPT57482.2022.9938151.
[23]. W. J. AL-Kubaisy and B. AL-Khateeb, "Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm," Journal of Intelligent Systems, vol. 33, no. 1, p. 110011, 2024. doi: 10.1515/jisys-2024-0051.
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