Affiliations: [a]
College of Information and Control Engineering, China University of Petroleum, China
| [b]
School of Electrical Engineering, Shandong University, China
| [c]
State Grid of China Technology College, China
| [d]
Energy Systems Research Center, The University of Texas at Arlington, USA
Correspondence:
[*]
Corresponding author. Ke-Jun Li, School of Electrical Engineering, Shandong University, Jinan 250061, Shandong Province, China. E-mail: [email protected].
Abstract: Finding an appropriate way to improve the investment comprehensive benefits for on-line monitoring is a new issue for power industry. In this paper, a priority assessment model for transformer on-line monitoring is proposed. The assessment model consists of device level and system level. The device level is divided into property assessment and operation assessment. The details of various assessment methods were described in the following sections, including device property assessment based on fuzzy analytic hierarchy process (FAHP), operation condition assessment method based on condition assessment technology and system level assessment method based on risk benefits index. An actual grid is utilized to validate the model and the numerical results illustrate that: the proposed assessment model can provide an appropriate on-line monitoring investment order for transformers. It also verifies that considering multiple aspects related to the target problem could give a more comprehensive assessment result than just considering just one or two of them. This paper provides a feasible solution to achieve more investment benefits for transformer online monitoring, which can provide on-line monitoring investment references for power industry.
