基于自适应投影多元经验模态分解的电力系统强迫振荡源定位

doi:10.19595/j.cnki.1000-6753.tces.220503

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Abstract In recent years, forced oscillation occurs frequently in the power grid, which seriously threatens the stability of the power grid. Fast and accurate forced oscillation source location is very important to mitigate the forced oscillation. However, traditional methods are difficult to accurately extract the forced oscillation component from the multi-channel measurements, which significantly affects the accuracy of forced oscillation source location. To cope with this shortcoming, this paper proposes an adaptive-projection intrinsically transformed multivariate empirical mode decomposition (APIT-MEMD) based forced oscillation source location method. By accurately extracting the forced oscillation component implied in the multichannel measurements, the location accuracy and computational efficiency of the forced oscillation source are effectively improved.
Firstly, the intrinsic mode functions (IMFs) of the measurements, which represent different oscillation modes, are decomposed from the multichannel measurements via the proposed APIT-MEMD. Then, the IMF associated with the forced oscillation mode is separated from the decomposed IMFs by using the logarithmic energy entropy. Further, the APIT-MEMD-based dissipation energy flow (DEF) of each generator is calculated using the separated forced oscillation IMF, and the forced oscillation source is located by using the criterions of forced oscillation source. In this method, the proposed APIT-MEMD method can adaptively construct the projection direction vector to estimate the local optimal mean, and the IMF component associated with the forced oscillation mode is extracted accurately and completely.
Forced oscillation source location results of the WECC 179-bus test system and power grid field-measurements show that, the proposed APIT-MEMD method can accurately and completely extract the IMF component associated with the forced oscillation mode, which effectively improves the location accuracy and efficiency of forced oscillation source. Compared with EMD, the proposed method extracts 4 IMF components for each measurement, and the oscillation frequencies of IMFs decomposed by each channel are basically same. However, the extracted IMF components for each measurement of EMD method are different. Compared with the MEMD method, the proposed method decomposes fewer IMFs, which avoids excessive decomposition of signals on the basis of effectively extracting forced oscillation mode components. Furthermore, compared with the EMD and MEMD method, the dissipation energy flow calculated by the proposed method has a more obvious downward trend and is easier to locate the forced oscillation source, and the computational efficiency is improved by 84.3% and 62.2% respectively.
The following conclusions can be drawn from the simulation analysis: (1) Compared with EMD, the proposed method can extract forced oscillation components of multi-channel wide-area measurements synchronously. (2) Compared with the MEMD method, the proposed method can avoid the excessive decomposition of the multi-channel wide-area measurements and improves the calculation accuracy by accurately estimating the local optimal mean. (3) The forced oscillation source location method based on APIT-MEMD proposed in this paper is completely independent of the detailed model and accurate parameters of the system. The forced oscillation source can be accurately and effectively located only according to the wide-area measurements of the generator. (4) Compared with the traditional DEF method, the proposed method effectively avoids the interference of the redundant information in the wide-area measurement to the forced oscillation source location, and has higher forced oscillation source location accuracy.

Key words： Power systems forced oscillation oscillation source location adaptive-projection intrinsically transformed multiple empirical mode decomposition intrinsic mode function dissipation energy flow

Received: 06 April 2022

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TM712

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	Jiang Tao
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Jiang Tao,Liu Bohan,Li Xue等. Forced Oscillation Location in Power Systems Using Adaptive Projection Intrinsically Transformed Multiple Empirical Mode Decomposition[J]. Transactions of China Electrotechnical Society, 2023, 38(13): 3527-3538.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.220503 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I13/3527

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