Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (8): 2223-2228.doi: 10.13229/j.cnki.jdxbgxb.20230324

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Energy saving optimization control of urban intelligent transportation under sequential quadratic programming algorithm

Nan YANG(),Jun XIAO   

  1. College of Information Science and Engineering，Experiment Center，Northeastern University，Shenyang 110819，China
  • Received:2023-04-07 Online:2024-08-01 Published:2024-08-30

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Abstract:

Aiming at the problem of large energy consumption caused by traffic infrastructure equipment， traction motor， brake device， etc.， an energy-saving optimization control method based on Sequential quadratic programming （SQP） algorithm for urban intelligent transportation operation was proposed. Based on the operation process of urban intelligent transportation， kinematics analysis of traffic train is carried out. According to the total energy consumption of traffic operation traction， a traffic operation energy-saving control model is constructed， and SQP algorithm is used to solve the model， so as to realize online energy-saving optimization control of urban intelligent traffic operation. The experimental results show that the method carries out energy saving optimization control performance test and regeneration energy utilization test， which verifies the practicability and robustness of the method.

Key words: sequential quadratic programming algorithm, urban intelligent transportation operation, dynamic analysis, energy consumption calculation, energy saving optimization control

CLC Number: 

  • TP273

Fig.1

Idling combination of urban intelligent transport operation"

Table 1

Condition conversion constraints"

当前工况转换工况
牵引惰行制动
牵引YYN
惰行YYY
制动NYY

Fig.2

Schematic diagram of train control speed curves using different methods"

Fig.3

Comparison results of operation on different ramp lines"

Fig.4

Comparison of renewable energy utilization rates"

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