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Bilevel optimal coordination of active distribution network and charging stations considering EV drivers' willingness

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  • Zhang, Kaizhe
  • Xu, Yinliang
  • Sun, Hongbin

Abstract

With the popularity of electric vehicles (EVs) in urban areas, the effective utilization of their charging flexibility in active distribution networks (ADNs) has drawn wide attentions. This paper proposes a bilevel model for the collaborative operation of ADNs with multiple charging stations (CSs) considering EV drivers' willingness. In the upper level, the distribution system operator (DSO) minimizes the total operational cost of ADNs and sets the optimal energy and reserve prices to trade with CSs under loads and market uncertainties. In the lower level, the aggregated model of EVs including drivers' response willingness is firstly established. Then, CSs minimize their own costs by adjusting bidding quantities and setting optimal incentive prices for EV drivers. Further, the developed bilevel model considering responsivities of EV drivers and various uncertainties is transformed into a tractable single level problem via the deterministic reformulation, Karush-Kuhn–Tucker (KKT) conditions and linearization method. Finally, numerical studies show that the proposed method can facilitate the DSO, CSs, EV drivers to reduce 3.7%, 20%, 9.6% total costs on average and improve the network security of ADNs under various uncertainties. Moreover, the scalability of the proposed approach is verified in the IEEE 123-bus DN with the computation time less than 600 s, which satisfies the computational efficiency requirement for the ADN day-ahead optimal scheduling.

Suggested Citation

  • Zhang, Kaizhe & Xu, Yinliang & Sun, Hongbin, 2024. "Bilevel optimal coordination of active distribution network and charging stations considering EV drivers' willingness," Applied Energy, Elsevier, vol. 360(C).
    • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001739
    DOI: 10.1016/j.apenergy.2024.122790
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    References listed on IDEAS

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    1. Zhao, Zhonghao & Lee, Carman K.M. & Ren, Jingzheng, 2024. "A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile," Applied Energy, Elsevier, vol. 355(C).
    2. Akbari, Ehsan & Mousavi Shabestari, Seyed Farzin & Pirouzi, Sasan & Jadidoleslam, Morteza, 2023. "Network flexibility regulation by renewable energy hubs using flexibility pricing-based energy management," Renewable Energy, Elsevier, vol. 206(C), pages 295-308.
    3. Norouzi, Mohammadali & Aghaei, Jamshid & Pirouzi, Sasan & Niknam, Taher & Fotuhi-Firuzabad, Mahmud, 2022. "Flexibility pricing of integrated unit of electric spring and EVs parking in microgrids," Energy, Elsevier, vol. 239(PB).
    4. Zhang, Qian & Wu, Xiaohan & Deng, Xiaosong & Huang, Yaoyu & Li, Chunyan & Wu, Jiaqi, 2023. "Bidding strategy for wind power and Large-scale electric vehicles participating in Day-ahead energy and frequency regulation market," Applied Energy, Elsevier, vol. 341(C).
    5. Zhang, Kaizhe & Xu, Yinliang & Sun, Hongbin, 2024. "Joint chance-constrained program based electric vehicles optimal dispatching strategy considering drivers' response uncertainty," Applied Energy, Elsevier, vol. 356(C).
    6. Zhang, Shida & Ge, Shaoyun & Liu, Hong & Zhao, Bo & Ni, Chouwei & Hou, Guocheng & Wang, Chengshan, 2024. "Region-based flexibility quantification in distribution systems: An analytical approach considering spatio-temporal coupling," Applied Energy, Elsevier, vol. 355(C).
    7. Wu, Chuantao & Chen, Cen & Ma, Yuncong & Li, Feiyu & Sui, Quan & Lin, Xiangning & Wei, Fanrong & Li, Zhengtian, 2022. "Enhancing resilient restoration of distribution systems utilizing electric vehicles and supporting incentive mechanism," Applied Energy, Elsevier, vol. 322(C).
    8. Zhang, XiaoWei & Yu, Xiaoping & Ye, Xinping & Pirouzi, Sasan, 2023. "Economic energy managementof networked flexi-renewable energy hubs according to uncertainty modeling by the unscented transformation method," Energy, Elsevier, vol. 278(PB).
    9. Guo, Shiliang & Li, Pengpeng & Ma, Kai & Yang, Bo & Yang, Jie, 2022. "Robust energy management for industrial microgrid considering charging and discharging pressure of electric vehicles," Applied Energy, Elsevier, vol. 325(C).
    10. Faqiry, M. Nazif & Edmonds, Lawryn & Wu, Hongyu & Pahwa, Anil, 2020. "Distribution locational marginal price-based transactive day-ahead market with variable renewable generation," Applied Energy, Elsevier, vol. 259(C).
    11. Zheng, Yanchong & Yu, Hang & Shao, Ziyun & Jian, Linni, 2020. "Day-ahead bidding strategy for electric vehicle aggregator enabling multiple agent modes in uncertain electricity markets," Applied Energy, Elsevier, vol. 280(C).
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