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Uncertainty Analysis of Dispatchable Potential of Charging Stations Considering Randomness of Electric Vehicle Charging Time
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Ting YI1, 2, Bin LI3, Lin-ru JIANG3, Fu-zhang WU1, 2, *, Jun YANG1, 2
Science Technology and Engineering | 2025, 25(20) : 8526 - 8535
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Science Technology and Engineering | 2025, 25(20): 8526-8535
Papers·Electrical Technology
Uncertainty Analysis of Dispatchable Potential of Charging Stations Considering Randomness of Electric Vehicle Charging Time
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Ting YI1, 2, Bin LI3, Lin-ru JIANG3, Fu-zhang WU1, 2, *, Jun YANG1, 2
Affiliations
  • 1 Hubei Provincial Engineering Center of AC and DC Smart Distribution Network, Wuhan 430072, China
  • 2 Faculty of Electrical and Automation, Wuhan University, Wuhan 430072, China
  • 3 China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Published: 2025-07-18 doi: 10.12404/j.issn.1671-1815.2407118
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The dispatchable potential of charging stations represents the feasible solution space for optimizing their bidding strategies in the electricity market. However, the uncertainty in the access times of electric vehicles complicates the accurate assessment of this dispatchable potential. To address this issue, an uncertainty analysis method was proposed for evaluating the dispatchable potential of charging stations, taking into account the stochastic nature of electric vehicle charging times. Firstly, a generalized energy storage model for various types of electric vehicle clusters was established using Minkowski summation theory. Secondly, the impact of the randomness in electric vehicle arrival and departure times on the dispatchable potential of charging stations was analyzed. The discretized probability density functions of these times were mapped to the probability distributions of individual electric vehicle model parameters. By integrating these with the generalized energy storage model of electric vehicle clusters, the probabilistic characteristics of the dispatchable potential across various electric vehicle clusters were derived. Furthermore, the probability distribution characteristics of the dispatchable potential of charging stations were derived by aggregating the parameters of various electric vehicle clusters using convolution operations. Finally, simulations were conducted in MATLAB and compared with Monte Carlo simulations to validate the effectiveness of the proposed method.

electric vehicle  /  dispatchable potential  /  charging time  /  Edgeworth series  /  probability distributions
Ting YI, Bin LI, Lin-ru JIANG, Fu-zhang WU, Jun YANG. Uncertainty Analysis of Dispatchable Potential of Charging Stations Considering Randomness of Electric Vehicle Charging Time[J]. Science Technology and Engineering, 2025 , 25 (20) : 8526 -8535 . DOI: 10.12404/j.issn.1671-1815.2407118
Year 2025 volume 25 Issue 20
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Article Info
doi: 10.12404/j.issn.1671-1815.2407118
  • Receive Date:2024-09-23
  • Online Date:2026-05-13
  • Published:2025-07-18
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  • Received:2024-09-23
  • Revised:2025-04-27
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Affiliations
    1 Hubei Provincial Engineering Center of AC and DC Smart Distribution Network, Wuhan 430072, China
    2 Faculty of Electrical and Automation, Wuhan University, Wuhan 430072, China
    3 China Electric Power Research Institute Co., Ltd., Beijing 100192, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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