Fault diagnosis and assessment method of intelligent substation

Abstract

The invention discloses a fault diagnosis and assessment method of an intelligent substation. The fault diagnosis and assessment method is characterized by including the specific steps that a fault diagnosis and assessment information model of the intelligent substation is constructed; fault and assessment indexes of a primary device, a secondary device and a network device in the intelligent substation are calculated on the basis of the fault diagnosis and assessment information model; a Petri net is used to perform primary fault diagnosis and assessment to the intelligent substation; and final diagnosis and assessment are performed by means of a distributed type expert system based on a knowledge base. The fault diagnosis and assessment method has the advantages of being clear in the diagnosis process, fast and practical in diagnosis methods and accurate and reliable in diagnosis results.

Description

technical field [0001] The invention relates to a fault diagnosis and evaluation method, in particular to a fault diagnosis and evaluation method of an intelligent substation. Background technique [0002] With the deepening of smart grid construction, the construction of smart substation, which is the core part of smart grid, is also developing rapidly. State Grid released the "Smart Substation Design Code" in February 2010, defining a Smart Substation as "advanced, reliable, integrated, low-carbon, and environmentally friendly The standardization of information sharing is the basic requirement, and the basic functions such as information collection, measurement, control, protection, metering and monitoring can be automatically completed, and the substation can support advanced functions such as real-time automatic control of the power grid, intelligent adjustment, online analysis and decision-making, and collaborative interaction as needed.” . It can be seen that compare...

AI Technical Summary

Problems solved by technology

There is no longer a one-to-one correspondence between the network physical topology and the input and output of functional information and signals. Traditional fault diagnosis and evaluation methods are mostly based on fault detection and analysis of secondary electrical circuits, which cannot be applied to smart substations. Substation fault detection and analysis are difficult to carry out

At the same time, most of the existing substation fault diagnosis methods only use the operating status and alarm information of the primary equipment in the substation itself, or use the circuit breaker action and fault reports to perform fault diagnosis, and give the probability of equipment failure.

Therefore, there is a lack of information in the existing substation fault diagnosis methods: first, it does not involve the topology of the substation network, does not involve the impact of the topology on the fault diagnosis process and results, and does not involve the simplification of the complex topology, which will limit its practicality. ; Second, the influence of the secondary communication network in the fault diagnosis process is not involved in the fault diagnosis process, including the influence of factors such as network equipment status, communication network quality, delay in information transmission process, bit error and packet loss. Indispensable in intelligent substation fault diagnosis

Petri net theory and expert system are widely used in the fault diagnosis process of intelligent substations, but the diagnosis method based on topology has not yet formed a theory, and the fault diagnosis and evaluation using a single Petri net or expert system is relatively fast, but there is no fusion Panoramic information of smart substations leads to low accuracy of results, and it is difficult to guarantee fault-tolerant performance in the case of uncertain information

[0004] The intelligence of the primary equipment of the smart substation enables the primary equipment to be associated with various smart devices such as merging units, smart components, and smart terminals in the secondary system. In the future, these smart devices will be integrated with the primary equipment, and the primary equipment will be directly connected to the The secondary system network, the primary system and the secondary system are more closely related, and only relying on the primary system and limited protection and wave recording information cannot completely and accurately describe the knowledge characteristics of smart substation faults

It can be seen that the changes in the secondary system structure of smart substations and the improvement of automation and intelligence requirements for management and maintenance methods have made traditional fault diagnosis and evaluation methods unable to meet the requirements of intelligent operation of substations in terms of diagnostic depth and diagnostic methods. need

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