Multi‐criterion integrated method for low‐frequency oscillation‐type identification

Author:

Sun Ming1,Chen Lei1,Xu Xialing2,Min Yong1,Xu Youping2,Li Kai2

Affiliation:

1. State Key Laboratory of Control and Simulation of Power Systems and Generation EquipmentDepartment of Electrical EngineeringTsinghua UniversityBeijingPeople's Republic of China

2. Power Dispatching and Control Sub‐centerCentral China Branch of State Grid Corporation of ChinaWuhanPeople's Republic of China

Funder

National Natural Science Foundation of China

State Grid Corporation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Reference10 articles.

1. Active power oscillation property classification of electric power systems based on SVM;Ju L.;J. Appl. Math.,2014

2. Characteristic analysis and identification method of negative damping and forced power oscillation;Ju L.;Power Syst. Prot. Control,2016

3. On‐line identification of low‐frequency oscillation properties based on envelope fitting;Yanfeng M.;Autom. Electr. Power Syst.,2014

4. RuichaoX. DanielT.: ‘Distinguishing features of natural and forced oscillations’.IEEE Power Energy Society General Meeting (PESGM 2015) Denver CO USA July 26–30 2015

5. Identification method of low‐frequency oscillation type based on vibration waveform data and coherent spectrum;Lixin W.;Electr. Power Constr.,2016

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