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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

Inactive Publication Date: 2018-09-07
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

The patent "on-line monitoring device for the health status of lightning arresters for transmission lines" 201620303031.9 uses leakage current and temperature to monitor the health status of MOA. This method improves the accuracy of MOA online monitoring to a certain extent, but the above problems also exist, and a large number of devices need to be configured The temperature sensor is not conducive to the upgrading and transformation of the system
Patent "On-line monitoring device for MOA arrester" 201420785962.8 achieves the purpose of online monitoring of MOA aging by monitoring the resistive current component and capacitive current component in the total leakage current. Harmonic voltage and frequency fluctuations in the power grid have certain anti-interference, but cannot completely eliminate the influence of voltage fluctuations

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  • Simulated annealing particle swarm algorithm-based MOA aging online monitoring method
  • Simulated annealing particle swarm algorithm-based MOA aging online monitoring method
  • Simulated annealing particle swarm algorithm-based MOA aging online monitoring method

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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...

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Abstract

An aging situation of an MOA is represented by utilizing change of electrical parameters in an MOA aging process; the change situations of the parameters are obtained by using a simple method; and themethod can overcome the influence of external environment factors and power network factors. The method has the beneficial effects that a resistive current component in a total leakage current does not need to be extracted; the temperature of the MOA does not need to be monitored; a leakage current of the MOA only needs to be collected; and the parameters capable of reflecting the aging situationof the MOA are solved by utilizing an SA-PSO algorithm. The method has the characteristics of simplicity, easy realization, high monitoring precision and the like, and can bring huge social and economic benefits.

Description

technical field [0001] The invention relates to the fields of electric power and communication, in particular to an online monitoring method for MOA aging based on simulated annealing particle swarm algorithm. Background technique [0002] Metal Oxide Arresters (MOA) are widely used in surge protection of power, communication and other systems due to their superior nonlinearity, large current flow, fast response, and low residual voltage. In addition to being threatened by lightning overvoltage and operating overvoltage during online operation, MOA is also affected by external environmental factors such as humidity, chemical pollution, and pollution. With the increase of running time, MOA will experience aging and deterioration phenomena, usually manifested as a decrease in varistor voltage, an increase in leakage current, and a change in the volt-ampere characteristic curve. In severe cases, thermal runaway may occur, seriously affecting the performance of the MOA and the s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/20
Inventor 杨仲江于忠江王梧熠窦志鹏
Owner NANJING UNIV OF INFORMATION SCI & TECH
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