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Electric bus hybrid charging station charging timetable design method based on robust optimization

An electric bus, robust optimization technology, applied in computing, mechanical equipment, combustion engines, etc., can solve problems such as unreachable, grid power fluctuations, accelerated battery aging, etc., to reduce computational complexity, reliable technical support, and reduce charging. cost effect

Pending Publication Date: 2021-11-09
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Fast charging will accelerate battery aging and lead to large fluctuations in grid power when connected to the Internet of Vehicles; while slow charging takes longer to charge, less damage to the battery and less impact on the grid, but when the number of charging piles For limited time, the vehicle may not be able to reach the expected battery state during the period after the night shift enters the station and before the morning shift leaves the station

Method used

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  • Electric bus hybrid charging station charging timetable design method based on robust optimization
  • Electric bus hybrid charging station charging timetable design method based on robust optimization
  • Electric bus hybrid charging station charging timetable design method based on robust optimization

Examples

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Comparison scheme
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Embodiment

[0154] This embodiment uses the historical observation data of a city's electric bus hybrid charging station, including the timetable for entering and exiting the station, and the remaining power when the vehicle entered the station for 60 consecutive days in the past (a total of 1080 valid data). In order to conduct experiments in a real environment, a total of 18 vehicles were selected initially, covering 6 different bus lines (3 vehicles per line): 791, D16, 719, 84, 129 and 792; They are: 20:20, 21:00, 21:00, 21:20, 22:00 and 22:00; departure times are: 5:00, 7:00, 5:00, 5:20, 5 :00, and 6:00.

[0155] The relevant parameters are set as follows. The planning window is from 20:00 of the current day to 7:00 of the next day, and the time step is Δt=20 minutes, so T max =34. Fault tolerance rate, that is, the probability that the existence constraint is not satisfied is ε(Γ)=0.01, and the values ​​of other parameters are as follows: I max =12, M=10, Cap=240kWh, P=60kW, R ...

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Abstract

The invention discloses an electric bus hybrid charging station charging timetable design method based on robust optimization, and the method comprises the steps: building a hybrid electric bus charging station frame, and determining problems and parameter variables; declaring basic hypotheses and conditions; establishing a deterministic optimization model; building a robust optimization problem based on a budget uncertainty set by considering the uncertainty of the inbound residual electric quantity; by using affine transformation, converting an observation variable into a current variable, and constructing an affine adjustable robust peer-to-peer model; and forming a solvable robust optimization model based on a strong duality theory and duality conversion, and designing a charging timetable. According to the method, plug-in type charging and battery replacement charging are creatively fused, the uncertainty of the remaining electric quantity of the bus when the bus enters the station is considered, robust optimization is adopted, the electric bus charging timetable design is carried out based on the strong dual theorem, the charging cost is reduced, and constructive suggestions and reliable technical supports are provided for operation optimization of the hybrid charging station.

Description

technical field [0001] The invention relates to a method for designing a charging schedule of a hybrid charging station for electric buses based on robust optimization, and belongs to the technical field of charging timing design for a hybrid charging station for electric buses. Background technique [0002] Environmental issues such as exhaust emissions and noise pollution caused by fuel vehicles have aroused close attention in society; the increase in private car ownership has also caused increasingly serious urban congestion. In contrast, electric buses, as a green and efficient transportation mode, can significantly reduce greenhouse gas emissions and promote sustainable urban development. One of the effective solutions to solve the energy problems and traffic congestion problems in modern cities. [0003] At present, there are still technical difficulties in the widespread application of electric buses, including insufficient charging facilities and problems in layout ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q50/06Y02T10/40
Inventor 董润黄迪汪怡然刘昕刘志远
Owner SOUTHEAST UNIV
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