Quantum genetic algorithm-based converter transformer partial-discharge ultrasonic location method

Abstract

The invention provides a quantum genetic algorithm-based converter transformer partial-discharge ultrasonic location method. Many ultrasonic sensors at different positions of a transformer are adopted to receive ultrasonic signals that are sent by a partial discharge source, and a distance solving model is established by a Cartesian coordinate system. Relevant parameters of the quantum genetic algorithm are initialized. Chromosome is coded, and population Q(t) is initialized. Every individual of the initialized population is measured and a state P(t) is obtained. The fitness to each state is calculated. The optimal individual and its fitness value are recorded. The result is directly output if the termination condition is satisfied. If the termination condition is not satisfied, then t=t+1 is set and every individual of the initialized population is measured to obtain the state P(t). The fitness to each state is calculated, the population individuals are updated by means of quantum rotation gate operation and quantum non-gate to obtain a progeny population Q(t+1), and the optimal individual and its fitness are recorded, until the terminal condition is satisfied. The method of the invention has the characteristics that the iteration frequency is low and the location precision is high under the condition of a small population size, premature convergence is avoided, and rapid convergence is achieved to get the globally optimal solution.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring of converter transformers, in particular to an ultrasonic localization method for partial discharge of converter transformers based on quantum genetic algorithm. Background technique [0002] The converter transformer is an important electrical equipment in the DC transmission system, and it is in a pivotal position in the DC transmission system. Therefore, the power system attaches great importance to the health of the converter transformer, especially the health of its insulating medium. With the development of power system and the improvement of voltage level, partial discharge has become an important reason for the insulation deterioration of converter transformers, so the detection and location of partial discharge has become an important means of monitoring its insulation condition. [0003] Ultrasonic location of partial discharge in converter transformers, in order to eliminate ...

AI Technical Summary

Problems solved by technology

However, in theory and practice, the traditional genetic algorithm has always had the defects of poor local search ability and prone to premature convergence, and for some complex optimization problems, it is easy to fall into the local optimal solution and cannot reach the global optimal solution. Program

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