Ground grid fault diagnosis method based on self-adaptive particle swarm algorithm

Abstract

The invention provides a ground grid fault diagnosis method based on a self-adaptive particle swarm optimization algorithm. A fault diagnosis equation is established according to a node voltage analytical method in an electric network theory, then a target optimization function is obtained according to a minimum energy principle, the problem of ground grid fault diagnosis is converted into the problem of target optimization with constraint conditions, then the self-adaptive particle swarm optimization algorithm is adopted to solve the optimization problem, and a diagnosis result is obtained. In the ground grid fault diagnosis method based on the self-adaptive particle swarm optimization algorithm in the invention, through establishing a mathematical model for ground grid fault diagnosis, and using the optimization target function, the ill-condition degree of the diagnosis equation is lowered, and the global optimization capability of the self-adaptive particle swarm optimization algorithm is called, thereby improving the efficiency and the accuracy of solving the optimization model, and enabling the diagnosis result to be accurate and reliable.

Description

technical field [0001] The invention relates to the field of electrical technology, in particular to a grounding grid fault diagnosis method based on an adaptive particle swarm algorithm. Background technique [0002] The grounding grid of power generation and substations is an important measure to maintain the safe and reliable operation of the power system and ensure the safety of operating personnel and electrical equipment. The equalizing conductors that make up the grounding grid are often electrically connected between the equalizing conductors of the grounding grid or between the grounding lead and the equalizing conductor due to poor or missing welding during construction, soil corrosion, and the electrodynamic force of the grounding short-circuit current. Bad point of failure. If there is a grounding short circuit fault in the power system, it will cause the local potential difference of the ground grid itself and the abnormal increase of the ground grid potential....

AI Technical Summary

Problems solved by technology

However, during the intelligent solution process, the optimal solution depends on the initial value obtained by the least square method, which may cause local minima and reduce the solution accuracy

On the other hand, the algorithm has a complex structure, a large amount of calculation, and a long calculation time.

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