Open AccessDominant low‐frequency oscillation modes tracking and parameter optimisation of electrical power system using modified Prony method
Author(s) -
Xia Xin,
Li Chaoshun,
Ni Wei
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1436
Subject(s) - oscillation (cell signaling) , control theory (sociology) , noise (video) , low frequency oscillation , mode (computer interface) , electric power system , tracking (education) , singular value decomposition , point (geometry) , computer science , differential (mechanical device) , power (physics) , mathematics , algorithm , engineering , physics , artificial intelligence , control (management) , psychology , pedagogy , quantum mechanics , genetics , geometry , image (mathematics) , biology , aerospace engineering , operating system
The low‐frequency oscillation has become one of the most threatening problems of the electrical power system in the past few decades. The traditional Prony analysis method is seriously affected by noise and order estimation which cannot get the dominant oscillation sometime. A singular value decomposition‐difference differential method is proposed for order estimation of Prony mode. A parameter optimisation method based on interior point method is also proposed eliminating the noise effects on dominant model parameters. The proposed method has a fairly good property in noise suppression and dominant oscillation mode tracking. The suitability of the proposed method had been demonstrated in the simulation and case study.