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A state evaluation method for optimizing a support vector machine by a cloud model and a genetic algorithm

A technology of support vector machine and genetic algorithm, which is applied in the field of relay protection device, cloud model and genetic algorithm to optimize the state evaluation of support vector machine, which can solve the problems of uncertain equipment state, insufficient maintenance, excessive maintenance, etc.

Active Publication Date: 2019-04-05
YUXI POWER SUPPLY BUREAU OF YUNNAN POWER GRID
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Problems solved by technology

[0002] At present, relay protection devices usually adopt a regular maintenance mode. This method may have "insufficient maintenance and excessive maintenance", resulting in uncertain equipment status

Method used

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  • A state evaluation method for optimizing a support vector machine by a cloud model and a genetic algorithm
  • A state evaluation method for optimizing a support vector machine by a cloud model and a genetic algorithm
  • A state evaluation method for optimizing a support vector machine by a cloud model and a genetic algorithm

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Embodiment approach

[0143] Combine below Figure 1 to Figure 4 Introduce the embodiment of the present invention, specifically:

[0144] Step 1: According to the operating state information of the relay protection device, select the operating voltage, CPU temperature, insulation performance, equipment failure times, family defect rate, abnormal alarm rate, and circuit breaker incorrect action times as the input feature vector of the support vector machine;

[0145] Working voltage a mentioned in step 1 i is the operating voltage of the relay protection device operating state at the i-th time point;

[0146] CPU temperature b as mentioned in step 1 i is the CPU temperature of the operating state of the relay protection device at the i-th time point;

[0147] Insulation performance as described in step 1 c i is the insulation performance of the relay protection device operating state at the i-th time point;

[0148] The number of equipment failures mentioned in step 1 d i is the number of equ...

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Abstract

The invention discloses a state evaluation method of a cloud model and a genetic algorithm optimized support vector machine. The method comprises the following steps: firstly, preprocessing operationstate data acquired by an acquisition unit to form a sample database; selecting a radial basis kernel function as a kernel function of the support vector machine; a genetic algorithm is adopted to optimize kernel function parameters and error penalty factors of the support vector machine; A genetic algorithm optimized support vector machine state evaluation model is established, an evaluation problem is converted into a classification problem, the operation state of a protection device is evaluated, uncertainty mapping between the health degree and a comment domain is achieved through randomness and stable tendency of a cloud model, and an evaluation result better conforms to the actual situation. The method greatly improves the efficiency of state maintenance work, enables operation and personnel to master the operation state of the protection device in time, prevents safety accidents of equipment, guarantees the safety and reliability of power supply, and remarkably improves the evaluation accuracy.

Description

technical field [0001] The invention belongs to the electric power industry and relates to a relay protection device, in particular to a state evaluation method of a support vector machine optimized by a cloud model and a genetic algorithm. Background technique [0002] At present, relay protection devices usually adopt a regular maintenance mode. This method may have "insufficient maintenance and excessive maintenance", resulting in uncertain equipment status. With the rapid development of my country's power system, the society has put forward higher requirements for the quality and reliability of power supply. It is very important to ensure the safe and stable operation of relay protection devices in smart substations. The condition-based maintenance is based on the state of the equipment, through the continuous observation of the equipment and various other factors to identify the existing or potential deterioration of the equipment, and then make a reasonable evaluation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/12
CPCG06N3/126G06F18/2411G06F18/214Y04S10/50
Inventor 张学敏王斌施迎春王文林党军朋杨永旭马智鹏唐一恒陈海涛李雷刘祺韩宗延张志强周洪胜戴伟康白建林杜林强矣林飞许鑫
Owner YUXI POWER SUPPLY BUREAU OF YUNNAN POWER GRID
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