State evaluation method of communication network of intelligent substation based on clustering and neural network

A technology of intelligent substation and communication network, which is applied in the field of intelligent substation communication network status evaluation based on clustering and neural network, can solve the problems of inconvenient daily maintenance of staff and incomplete reflection of information, achieve real-time and accurate evaluation results, improve The effect of stability

Active Publication Date: 2019-03-19
STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST +3
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the safe and reliable operation of the power station is increasingly affected by the performance of the network, its reliability is directly related to the safety of the substation.

Method used

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  • State evaluation method of communication network of intelligent substation based on clustering and neural network
  • State evaluation method of communication network of intelligent substation based on clustering and neural network
  • State evaluation method of communication network of intelligent substation based on clustering and neural network

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] 1. Principle of fuzzy neural network

[0038] T-S fuzzy system is a kind of fuzzy system with strong self-adaptive ability. The model can not only automatically update, but also continuously revise the membership function of fuzzy subsets. The T-S fuzzy system is defined by the following "if-then" rule form, where the rule is R i In the case of , the fuzzy reasoning is as follows:

[0039]

[0040] in, is the fuzzy set of the fuzzy system; is the fuzzy system parameter; y i For the output obtained according to the fuzzy rules, the input part (that is, the if part) is fuzzy, and the output part (that is, the then part) is definite, and the fuzzy reasoning indicates that the output is a linear combination of inputs.

[0041] Assume that for the input quantity x=[x 1 ,x 2 ,...,x k ], first calculate each input variable x according to fuzzy rules j degree of membership:

[0042]

[0043] In the formula, Respectively, the center and width of the membership...

Embodiment 2

[0122] In this embodiment, the communication system of a substation in a power supply bureau is taken as an example, and the state evaluation model based on the fuzzy neural network obtained in the above-mentioned embodiment 1 is used to evaluate the online monitoring index data of the operation status of the communication network of the substation. Select nine indicators such as "availability", "response time" and "packet loss rate" in Table 1 to form an evaluation index set, and invite experts to score the importance of each factor, and use the analytic hierarchy process to establish a judgment matrix for each level of factors. The weight vector of each element is obtained by finding the eigenvector corresponding to the largest eigenvalue under the consistency test condition. The specific parameters and weight calculation results are shown in Table 4 below:

[0123] Table 4

[0124] Characteristic Parameters

Weights

measured value

Availability x1

...

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Abstract

The invention discloses a state evaluation method of a communication network of an intelligent substation based on clustering and neural network. The method comprises the following steps of: introducing the weight obtained by an analytic hierarchy process into a standard Euclidean distance space algorithm for data dimensionality reduction; then, dividing a network abnormal state into five classesby using a clustering method; taking a classification result as an ideal output basis of a neural network model training sample; and finally, building a neural network model based on nine evaluation indicators, and carrying out state evaluation on the communication network of the intelligent substation. The state evaluation method uses an evaluation model combining the clustering and the fuzzy neural network; therefore, the state can be effectively evaluated; the interaction between influencing factors can be well characterized; and more real-time and accurate evaluation results can be obtained.

Description

technical field [0001] The invention relates to the technical field of intelligent substations, in particular to a method for evaluating the state of communication networks of intelligent substations based on clustering and neural networks. Background technique [0002] Equipment condition assessment is based on the current working conditions of the equipment, relying on advanced condition monitoring methods, to identify early failure symptoms, and to judge the specific location, severity and development trend of the failure, and then formulate the best maintenance time for each component. With the application of the unified process layer network in the smart substation, it provides great convenience for the sharing of data information in the substation. All the equipment connected to the unified communication network can obtain the information of the whole station, which greatly changes the way to realize the substation function. Change [1] . Since the safe and reliable o...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26G06K9/62G06N3/04G06N3/08
CPCH04L41/145H04L43/08G06N3/084G06N3/045G06F18/23213G06F18/213
Inventor 郑永康李凯谭夕柳刘勇周竞峰陈长清姜华李红军陆旭朱祚恒贾虎陈运华陈小平王晓涛周召均杨凯蒲敏周文越朱鑫潘南西张艺
Owner STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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