Transformer State Evaluation Based on Improved TOPSIS Method
Creators
- 1. North China Electric Power University Baoding 071003 China (China)
Description
Transformer is one of the main equipments in power system. Its operation state directly affects the reliability of power system. Therefore, it is very important to carry out the research of transformer state evaluation. Since the current state evaluation method can only evaluate a single transformer, this paper proposes an algorithm for simultaneous assessment of multiple transformers. Firstly, the transformer condition evaluation index system is established. Secondly, TOPSIS is improved by using the grey correlation degree, and a transformer condition assessment model is established by using the improved algorithm. Finally, the state of 6 transformers is evaluated according to the relevant data, and the rationality and validity of the proposed method are verified by examples. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/439/5/052036Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 439
- Journal Issue
- 5
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Conference on Advanced Electronic Materials, Computers and Materials Engineering
- Acronym
- AEMCME 2018
- Dates
- 14-16 Sep 2018
- Place
- Singapore (Singapore)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52100074
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; OPERATION; POWER SYSTEMS; RELIABILITY; TRANSFORMERS
- Descriptors DEC
- ELECTRICAL EQUIPMENT; ENERGY SYSTEMS; EQUIPMENT; MATHEMATICAL LOGIC