A cognitive radio system and related method for monitoring equipment in substations

Abstract

The invention provides a cognitive radio system and a correlation method for monitoring a transformer substation device. The system is applied to a communication link of the monitoring of the transformer substation device, the role of a monitoring device is classified into an authority user and a cognitive user according to the type and priority of the monitoring data, the system comprise a base station, a communication terminal and a cognitive node, wherein the cognitive node adopts a three-threshold sequential detection algorithm based on reputation is adopted for conducting cooperative spectrum sensing for a special 230MHz power wireless authorized frequency band to acquire the authorized frequency band idle frequency spectrum information to be transmitted to the communication terminal, the communication terminal executes the frequency spectrum decision on the basis of a cost expense function and allocates the frequency spectrum resource so as to favor the communication between the idle frequency spectrum and the base station. Due to the adoption of the cognitive radio system and correlation method for monitoring the transformer substation device, the utilization rate of the special power frequency spectrum resource can be improved, and the current situation that the frequency spectrum resource is in shortage when the electric power wireless monitoring terminal is accessed can be alleviated.

Description

technical field [0001] The invention belongs to the field of electric power system wireless communication, and in particular relates to a cognitive radio system and a related method for substation equipment monitoring. Background technique [0002] With the construction and use of smart grid more and more widely, it has brought huge economic and social benefits. As an important part of the smart grid, the smart substation will directly affect the development level of the smart grid, and the application of smart primary equipment is one of the important symbols of the smart substation. Necessary monitoring of smart primary equipment is an important means to ensure the normal operation of equipment, ensure power supply safety, improve power supply reliability, and enhance the level of intelligence. Therefore, equipment monitoring technology has become an iconic core technology in the smart substation technology system. [0003] With the development of Internet of Things techn...

AI Technical Summary

Problems solved by technology

Cooperative spectrum sensing also includes fixed sample number detection and non-fixed sample number detection. Traditional collaborative algorithms such as OR / AND are fixed sample number detection algorithms. This type of algorithm collects all data and makes a judgment without considering the condition that the judgment condition is satisfied in advance. , in the actual judgment process, it may not be necessary to collect all the data for judgment, so there is a problem of wasting transmission resources and prolonging the perception time

The sequential detection algorithm proposed by foreign scholars is a detection method with a non-fixed number of samples. Compared with the collaborative detection with a fixed number of samples, this algorithm has the advantages of less sensing samples and short sensing time, but this algorithm does not consider the idleness of the target frequency band. rate, and due to the limitation of the decision algorithm, the correct rate of spectrum sensing is not high

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