Wide-area Monitoring and Analysis of Wide-band Oscillation in New-type Power Systems

Ma, Ningning; Xie, Xiaorong; Sun, Yang; Zhang, Yanjun; Li, Yongguang; Liu, Pengyin

doi:10.1109/ciced56215.2022.9928860

Cited by 6 publications

(5 citation statements)

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“…Initialize the decomposition information with (4) to (6) Use ( 5) to (7) to update circularly Satisfy (8) Output VMD decomposition component Use (11) to (12) to screen effective modes…”

Section: Start Pso Optimize K αmentioning

confidence: 99%

“…For example, on 1 July 2015, a 20~40 Hz oscillation occurred in the northwest of China, resulting in the shutdown of thermal power units more than 300 km away [3]. Broadband oscillation has the characteristics of broadband time-varying and temporal and spatial distribution, which will cause great harm to the stable operation of power systems [4]. Therefore, accurate pattern recognition of broadband oscillation is significant for further research on the principle of broadband oscillation.…”

Section: Introductionmentioning

confidence: 99%

“…Commonly used analytical calculation methods are the complex torque coefficient method, the state space method and the impedance analysis method, etc. [7]. These methods are only suitable for the oscillation mechanism analysis of small systems [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations

Guo,

Yang,

Dai

et al. 2024

Symmetry

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The accurate identification of the broadband oscillation mode is the premise of solving the resonance risk of new energy stations. Reviewing the traditional Prony algorithm, the problems of the high model order and poor noise immunity in broadband oscillation mode are identified. The accuracy and running time of the Variational mode decomposition (VMD) is a symmetric trade-off problem. An improved strategy based on VMD is proposed. Firstly, the optimal value of the number of modes and penalty factors obtained by a particle swarm optimization algorithm is input into VMD to decompose the signal into multiple modes. Then, combined with the energy threshold method, the denoising and signal reconstruction of each mode component after decomposition are carried out. Finally, the Prony algorithm is used to identify the oscillation mode of the original signal and the reconstructed signal, respectively. The Signal-to-noise ratio (SNR) and model order are compared and analyzed. Through the analysis of the example and simulation data, it is shown that the proposed method effectively solves the problem of poor engineering adaptability of the traditional Prony algorithm. It also can accurately obtain the time-domain characteristics of broadband oscillation, which has a promising future in the engineering application.

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“…Initialize the decomposition information with (4) to (6) Use ( 5) to (7) to update circularly Satisfy (8) Output VMD decomposition component Use (11) to (12) to screen effective modes…”

Section: Start Pso Optimize K αmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations

Guo,

Yang,

Dai

et al. 2024

Symmetry

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show abstract

“…With the deepening of the electrification of power in the substation area, new types of broadband oscillation problems such as sub/ultra synchronization and highfrequency oscillation may be triggered. The oscillation signals with a frequency range of 0.2-2000 Hz may be injected into the power grid, resulting in broadband characteristics of the power signal [3][4][5], this type of signal is called the broadband signal. The fundamental wave frequency often shows a dynamic trend [6].…”

Section: Introductionmentioning

confidence: 99%

Broadband Signal Measurement Method in the Background of Power Electronics in Substation Area of Distribution Network

Liu,

Wang,

et al. 2024

IEEE Access

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With the development and application of power electronic devices in distribution stations, the power grid has frequent broadband oscillations, with characteristics such as a wide frequency range and multiple modal components, etc. However, the existing signal estimation methods cannot provide accurate parameter information due to ignoring the dynamic changes and failing to reduce the interference. Therefore, this paper proposes a broadband signal analysis method considering fundamental wave dynamics and reducing interference to achieve high-precision identification of signal parameters and provide data for applications such as wide-frequency oscillation analysis and improving power quality issues. Firstly, the variational modal decomposition extracts the waveform information of various components and the corresponding frequencies. Secondly, correct the centre frequencies and make them filter frequencies. Finally, based on the least square method, parameter estimation of broadband signals is achieved. The performance of the algorithm is verified under the situations of frequency ramp change, frequency dynamic modulation, noise, etc. The simulation results show that the proposed algorithm can estimate the parameter information of broadband signal accurately and keep the total vector error less than 3%.

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“…Renewable energy sources are connected to the power grid through power converters, which will make the power system exhibit the characteristics of highly penetrative power electronics. The high penetration of power electronic equipment provides system coupling between the generation side, load side and transmission network in many forms with variable oscillation modes, showing strong time-variability, stochasticity, and strong nonlinearity [1,2]. As a result, the probability of system oscillations caused by power electronic devices will increase significantly.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin

Yang,

Wang,

Gao

et al. 2023

Electronics

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Aiming at the difficult problem of broadband oscillation localization in power systems, the intelligent localization method of an oscillation source based on a digital twin is proposed, and the oscillation source localization system is thus constructed. Firstly, a digital twin-based oscillation source localization method and its system architecture are proposed. Furthermore, an intelligent positioning method of the oscillation source, based on data-driven and mechanism fusion, is proposed. It includes three steps: oscillation signal preprocessing, oscillation modal analysis and oscillation source localization. For the oscillation signal preprocessing, the generative adversarial imputation network is used to repair the missing samples, and the super-resolution technique is used to realize the super-resolution measurement of broadband oscillation. In the oscillation modal analysis, the spectrum of the oscillation signal is extracted using the fast Fourier transform. To accurately locate the oscillation source, branch potential energy is used as the input to the data-driven model, such as LSTM and CNN. Finally, an oscillation source localization system is developed based on the digital twin workshop CloudPSS-XStudio, which can locate the oscillation source quickly and accurately.

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Wide-area Monitoring and Analysis of Wide-band Oscillation in New-type Power Systems

Cited by 6 publications

References 0 publications

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations

A New Method for the Analysis of Broadband Oscillation Mode of New Energy Stations

Broadband Signal Measurement Method in the Background of Power Electronics in Substation Area of Distribution Network

An Intelligent Location Method for Power System Oscillation Sources Based on a Digital Twin

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