Ngo, V. and Nguyen, N. and Vu, N. and Vu, V. (2023) Interval State Estimation Based on an Approximate Model of Distribution Network. In: UNSPECIFIED.
Full text not available from this repository. (Upload)Abstract
As renewable energy integration becomes more prevalent, the modern distribution network faces safety challenges while operating under numerous uncertain factors. As a result, interval state estimation has emerged as an essential component of the distribution network dispatching system. To address the challenges posed by nonlinear problems in distribution network models, this paper introduces an interval analysis method applied to an approximate model for distribution network state estimation. The ultimate goal is to enhance the accuracy and reliability of the estimation process. The results indicate the effectiveness and flexibility of the interval analysis method when applied to the approximate model for distribution network state estimation. © 2023 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
---|---|
Divisions: | Offices > Office of International Cooperation |
Identification Number: | 10.1109/ICCAIS59597.2023.10382383 |
Uncontrolled Keywords: | Electric load dispatching; Energy resources, Approximate modeling; Dispatching systems; Estimation process; Interval analysis method; Interval state estimation; Network models; Network state; Nonlinear problems; Renewable energy integrations; Uncertain factors, State estimation |
Additional Information: | cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337 |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/11112 |