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A Fault Diagnosis Method of Multi-power Module Parallel System Based on Ant Colony Algorithm

An ant colony algorithm and fault diagnosis technology, which is applied in the direction of measuring devices, instruments, measuring electricity, etc., can solve the problems of difficulty in determining the precise model of the module and difficulty in fault diagnosis, and achieve the effect of accurate fault diagnosis.

Active Publication Date: 2018-05-15
ZHEJIANG UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

However, due to the difficulty in determining the exact model of the module, it is difficult to diagnose faults based on specific models. Therefore, the ant colony algorithm based on swarm intelligence is more suitable for practical engineering applications.

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  • A Fault Diagnosis Method of Multi-power Module Parallel System Based on Ant Colony Algorithm
  • A Fault Diagnosis Method of Multi-power Module Parallel System Based on Ant Colony Algorithm
  • A Fault Diagnosis Method of Multi-power Module Parallel System Based on Ant Colony Algorithm

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Embodiment Construction

[0038] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] figure 1 It is a structural schematic diagram of a multi-energy energy storage system. The energy storage part includes low-voltage DC links such as fuel cells, photovoltaic cells, supercapacitors, and lithium batteries. The busbar and the AC busbar are connected through a DC-AC converter multi-power module parallel system, and the AC busbar provides energy for the load and performs energy transmission with the grid. The multi-power module parallel system fault diagnosis method based on the ant colony algorithm of the present invention is not only suitable for the multi-power module parallel system of the DC-DC converter but also suitable for the multi-power module parallel system of the DC-AC converter. In this embodiment, a DC-AC converter multi...

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Abstract

The present invention discloses a fault diagnosis method of a multi-power-module parallel system based on an ant colony algorithm. For a multi-power-module parallel application system, each power module is arranged in a node form to form a ring comparison graph structure, and according to a symmetry comparison model, a complete ant system with a pheromone and heuristic information is obtained. On the above basis, the ant colony algorithm is used to traverse the ring comparison graph in one direction, through the constant revision updating of the pheromone, the fault diagnosis process of a system level is completed, and the fault state of each node is effectively and rapidly determined. The method of the invention is a module level fault diagnosis method, and the fault diagnosis of a multi-power-module parallel system can be rapidly and accurately carried out.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of power electronic equipment, and in particular relates to a fault diagnosis method of a multi-power module parallel system based on an ant colony algorithm. Background technique [0002] The increasing shortage of traditional energy and the deteriorating environment have greatly promoted the development of new energy, and the scale of new energy power generation has also increased rapidly. However, the inherent randomness and intermittent characteristics of wind power and solar power generation determine that their large-scale development will inevitably have a significant impact on power grid peak regulation and safe operation of the system, and must be supported by advanced energy storage technologies. The multi-energy energy storage system contains a DC bus and an AC bus, in which each new energy power generation end and energy storage element end are connected to the DC bus through m...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 马皓王禹玺
Owner ZHEJIANG UNIV