Power distribution network self-healing recovery method based on mixing of Huffman tree algorithm and ant colony algorithm

Abstract

The invention discloses a power distribution network self-healing recovery method based on mixing of a Huffman tree algorithm and an ant colony algorithm. According to the invention, the idea of the Huffman tree algorithm is introduced into the ant colony algorithm and mixed with the ant colony algorithm, defects of large calculation amount, low calculation efficiency and easy local optimum causedby the single ant colony algorithm are solved, understanding quality is improved, the new radial structure minimizing network loss of the power distribution network is acquired, economic loss causedby faults is substantially reduced, and relatively high reliability is realized.

Description

technical field [0001] The invention relates to the technical field of distribution network control, in particular to a distribution network self-healing recovery method based on a mixture of Huffman tree algorithm and ant colony algorithm. Background technique [0002] With the development of social economy, the economic loss caused by faults in the distribution network has a greater impact on the society, and the self-healing technology of the distribution network is an important feature and one of the core technologies of distribution automation. The core of distribution network self-healing is to restructure the power supply network by changing the state of the section switch and tie switch when the distribution network fails, so as to minimize the loss and time of power failure. [0003] The reconfiguration of the distribution network is a multi-objective, multi-dimensional, multi-objective, multi-constraint combinatorial optimization problem. At present, there are thre...

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Problems solved by technology

Among them, the characteristic of mathematical optimization algorithm is to find a global optimal solution by analytic method, and its disadvantage is that the calculation amount is large, and it is difficult to meet the actual requirements; the heuristic algorithm is fast and the cost is small, but the order of opening the switch lacks theoretical basis. It needs to be further improved; the artificial intelligence algorithm is a widely used algorithm at present, which can solve the reconstruction problem when the distribution network is faulty, but the artificial intelligence algorithm is greatly affected by the initial state of the system, and its stability and Not very computationally efficient

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