Optimal Experiment Design for AC Power Systems Admittance Estimation. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Du, Xu; Engelmann, Alexander; Jiang, Yuning; Faulwasser, Timm; Houska, Boris
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 13311
• Page End: 13316
• Publication Date: 2020
• Subjects: Power System Parameter Estimation -- Optimal Experiment Design; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.163
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The integration of renewables into electrical grids calls for the development of tailored control schemes which in turn require reliable grid models. In many cases, the grid topology is known but the actual parameters are not exactly known. This paper proposes a new approach for online parameter estimation in power systems based on optimal experimental design using multiple measurement snapshots. In contrast to conventional approaches, our method computes optimal excitations extracting the maximum information in each estimation step to accelerate convergence. The performance of the proposed method is illustrated with a case study.