{"ID":2839702,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.15812","arxiv_id":"2511.15812","title":"Rapid and Accurate Changepoint Detection of Power System Forced Oscillations","abstract":"This paper describes a new approach for using changepoint detection (CPD) to estimate the starting and stopping times of a forced oscillation (FO) in measured power system data. As with a previous application of CPD to this problem, the pruned exact linear time (PELT) algorithm is used. However, instead of allowing PELT to automatically tune its penalty parameter, a method of manually providing it is presented that dramatically reduces computation time without sacrificing accuracy. Additionally, the new algorithm requires fewer input parameters and provides a formal, data-driven approach to setting the minimum FO segment length to consider as troublesome for an electromechanical mode meter. A low-order ARMAX representation of the minniWECC model is used to test the approach, where a 98\\% reduction in computation time is enjoyed with high estimation accuracy.","short_abstract":"This paper describes a new approach for using changepoint detection (CPD) to estimate the starting and stopping times of a forced oscillation (FO) in measured power system data. As with a previous application of CPD to this problem, the pruned exact linear time (PELT) algorithm is used. However, instead of allowing PEL...","url_abs":"https://arxiv.org/abs/2511.15812","url_pdf":"https://arxiv.org/pdf/2511.15812v2","authors":"[\"Luke Dosiek\",\"Akaash Karn\",\"Frank Liu\"]","published":"2025-11-19T19:08:04Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"eess.SY\"]","methods":"[]","has_code":false}