TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model-based intelligent substation secondary equipment evaluation method

Abstract

The invention discloses a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model-based intelligent substation secondary equipment evaluation method. The method mainly comprises the following steps: (1) acquiring characteristic sample indexes of each secondary equipment of an intelligent substation; (2) constructing an initial matrix according to the characteristic sample indexes of each secondary equipment and further obtaining a standardized decision making matrix by using a vector standardization method; (3) determining a weight value matrix and performing point multiplication on the weight value matrix and the standardized matrix to obtain a standardized weight decision making matrix; (4) determining a positive ideal solution vector and a negative ideal solution vector, and calculating the relative similarity degree of an evaluation index and the positive ideal solution of each evaluation object; (5) obtaining the state level of each secondary equipment, then determining a weight value of each secondary equipment, and finally obtaining a weighted comprehensive state level of the secondary equipment of the intelligent substation. By using the method, large sample data with multiple indexes and multiple evaluation objects of the intelligent substation can be considered, so that the operation status of the secondary equipment of the intelligent substation is more accurately evaluated.

Description

technical field [0001] The invention belongs to the technical field of intelligent substation monitoring, and in particular relates to an evaluation method for secondary equipment of an intelligent substation based on a TOPSIS (technique for order preference by similarity to ideal solution, multi-index comprehensive evaluation model) model. Background technique [0002] At present, the status monitoring or evaluation of secondary equipment in conventional stations or intelligent substations mainly relies on on-site sampling by secondary staff, and the corresponding maintenance strategies are obtained by uniformly inputting into the evaluation system in PMIS. The main limitations of the evaluation equipment For relay protection and secondary circuits, the relevant evaluation algorithms are relatively simple, so they are insufficient in real-time, simplicity, and feasibility. Secondly, the secondary equipment in the smart substation has a conventional station in the collection ...

AI Technical Summary

Problems solved by technology

[0002] At present, the status monitoring or evaluation of secondary equipment in conventional stations or intelligent substations mainly relies on on-site sampling by secondary staff, and the corresponding maintenance strategies are obtained by uniformly inputting into the evaluation system in PMIS. The main limitations of the evaluation equipment For relay protection and secondary circuits, the relevant evaluation algorithms are relatively simple, so they are insufficient in real-time, simplicity, and feasibility. Secondly, the secondary equipment in the smart substation has a conventional station in the collection of equipment evaluation samples. The incomparable advantages cannot accurately reflect the gap between various evaluation schemes. However, at present, the status evaluation of the secondary equipment in the smart substation is still carried out with reference to the conventional station, which does not reflect the advantages of the smart station. Potential power, strengthening the research on smart substation operation and maintenance strategy technology is also a key research topic during the "Twelfth Five-Year Plan" period of power companies

Images