Multi-module parallel operation balancing system for rail-alternating traction bidirectional converter intelligent equipment

A bidirectional converter, intelligent equipment technology, applied in electric traction, AC network to reduce harmonics/ripple, power management and other directions, can solve the problems of increased environmental control system burden, uncontrollable output characteristics, and increased tunnel temperature. Achieve the effect of reducing harmonic pollution and reactive power consumption, optimizing device performance and improving reliability

Pending Publication Date: 2022-01-04
南京鸿黎智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] First of all, the existing urban rail transit traction power supply still generally uses diode rectifiers. Since its energy can only be transmitted in one direction and its output characteristics are uncontrollable, the excess regenerative braking energy generated by train braking has to be consumed by resistors, which not only causes energy At the same time, it will bring problems such as the increase of tunnel temperature, the burden of environmental control system and the corresponding energy consumption. Therefore, we have made improvements to this and proposed a multi-module parallel operation of rail traction two-way variable current intelligent equipment. the balance system,

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  • Multi-module parallel operation balancing system for rail-alternating traction bidirectional converter intelligent equipment

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specific Embodiment approach 2

[0030] It includes a rail traffic traction bidirectional converter module 1 and an active intervention control monitoring and early warning module 2. The active intervention control monitoring and early warning module 2 circuit is connected in parallel to the two-way variable current operation equalization module 3, and the artificial intelligence diagnosis neural network model is established through the artificial intelligence fault self-learning algorithm 4, and the artificial intelligence diagnosis neural network model is "three-layer forward neural network". Network model 5", "Three-layer forward neural network model 5" includes a three-layer structure, input layer 501, hidden layer 502 and output layer 503, the learning algorithm is the error back propagation algorithm, in the input layer 501, there are All kinds of fault information are integrated and collected, and the input is completed. In the middle layer, the fault information obtained by the input layer 501 is proce...

specific Embodiment approach 3

[0031] The rail traffic traction bidirectional conversion module 1 is connected to the circuit of the active intervention control monitoring and early warning module 2, and the rail traffic traction bidirectional conversion module 1 is connected to the circuit of the active intervention control monitoring and early warning module 2 and connected in parallel to the bidirectional conversion operation equalization module 3, which also includes The rail traffic traction two-way variable current layered control module 7, the rail traffic traction bidirectional variable current layered control module 7 includes a digital layered control unit, a top layer control unit, and a bottom layer control unit, and the DC bus voltage is stabilized through the digital layered control unit, The input current waveform of the current inner loop control unit is sinusoidal and the power factor is approximately 1, and the remaining energy on the DC bus is fed back to the high-voltage power grid, includ...

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Abstract

The invention provides multi-module parallel operation balancing system for the rail-alternating traction bidirectional converter intelligent equipment. The stability of the direct current bus voltage is ensured through the arranged bidirectional converter operation balancing module, the ripple is small, and the harmonic pollution and reactive power consumption to a power grid are reduced; during regenerative braking of a train, the bidirectional converter circuit unit works in an inversion working condition, residual energy accumulated on a direct-current bus can be fed back to a high-voltage power grid, comprehensive configuration can be carried out on power factors, active power can be fed back to the high-voltage power grid, and reactive power support can be provided for the power grid when the power grid needs the reactive power support. Short-time recoverable faults can be accurately identified in the operation process of the rail transit traction bidirectional variable flow hierarchical control module, in the fault and recovery process, it is guaranteed that the system is not disconnected from the network, the power supply operation reliability of the rail transit system can be improved, and through artificial intelligence control and a self-learning algorithm, real-time adjustment and control parameters are more balanced, so that the performance of the device is optimal.

Description

technical field [0001] The invention relates to the field of equalization systems for rail transit traction two-way variable flow intelligent equipment, in particular to an equalization system for multi-module parallel operation of rail traffic traction two-way variable flow intelligent equipment. Background technique [0002] Compared with other modes of transportation, urban rail transit has the characteristics of safety, comfort, speed, large capacity, energy saving and environmental protection. With the rapid increase in traffic volume, the total energy consumption of urban rail transit has also increased significantly, and there are technologies that need to be improved in the process of urban rail transit use. [0003] First of all, the existing urban rail transit traction power supply still generally uses diode rectifiers. Since its energy can only be transmitted in one direction and its output characteristics are uncontrollable, the excess regenerative braking energy...

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Application Information

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IPC IPC(8): H02J3/38H02J3/01H02J3/48H02J3/50B60L9/00G06N3/02G06N3/08
CPCH02J3/38H02J3/01H02J3/48H02J3/50B60L9/00G06N3/02G06N3/084B60L2200/26Y02E40/40Y02T10/72
Inventor李冬黎
Owner南京鸿黎智能科技有限公司