Modal Parameter Identification of MEEMD-TEO-HT Method for Low-Frequency Oscillation Induced by Offshore Electrical Equipment
The increase of offshore power facilities will further weaken the weak damping oscillation mode in the power network,increase the risk of unstable system operation,and in severe cases,may lead to local system collapse.A modal parameter identification method based on MEEMD-TEO-HT for low-frequency oscillations caused by offshore power facilities is proposed to address the above issues.Firstly,the set empirical decomposition method(MEEMD)is used to decompose noisy signals with noise interference,obtaining multiple decomposed small signals and noise interference signals.Subsequently,the TEO index is used to screen key components and identify the small signal components that play a major role in system oscillation.Finally,based on the Hilbert(HT)transform,key small signals are analyzed to obtain the relevant oscillation parameters of the signal,in order to obtain the weak damping mode that causes system oscillation and provide important basis for subsequent measures to suppress oscillation.By testing signals and simulating system models,simulating the connection of offshore electrical equipment,the results show that when the equipment is connected,the power network will be affected by load shocks,leading to low-frequency oscillation accidents,proving the effectiveness and feasibility of the proposed method.
electric power systemensemble empirical mode decompositionscreening indexdecomposition componentlow-frequency oscillation
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