Simulated annealing particle swarm algorithm-based MOA aging online monitoring method
A particle swarm algorithm and simulated annealing technology, applied in the field of electric power and communication, can solve problems such as unfavorable system upgrading and transformation, and can not completely eliminate the influence of voltage fluctuations, and achieve good stability and anti-interference, strong optimization ability, The effect of fast convergence speed
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0036] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0037] Such as figure 1 As shown, the MOA equivalent circuit is determined by the properties of the crystal grains that make up the varistor. The resistance between grains constitutes a nonlinear characteristic, forming a nonlinear resistance R, and the grain boundary layer between grains forms a capacitor network, which can be expressed collectively by capacitance C.
[0038] Therefore, the leakage current of MOA can be expressed as:
[0039] I l= i r + i c (1)
[0040] Among them, i r is the resistive leakage current flowing through the non-linear resistance R, which is related to the non-linear characteristics of the non-linear resistance, i c is the capacitive current flowing through the capacitance C of the grain boundary layer.
[0041] As the MOA running time increases, the resistive current component in the leakage current w...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


