Comparative Study of Small-Signal Stability Under Weak AC System Integration for Different VSCs

Lu, Xiaojun; Xiang, Wang; Lin, Weixing; Wen, Jinyu

doi:10.1109/jestpe.2020.3024196

Cited by 14 publications

(2 citation statements)

References 29 publications

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“…Considering the increasing penetration of renewable energy and power electronics, the AC system tends to weaken gradually [12]. Besides, the tripping of AC transmission lines by scheduled maintenance or occasional AC faults may also result in a temporary decrease of the strength of the AC system [13]. Existing literatures reveal that both LCC-HVDC and MMC-HVDC are subjected to instability issue when integrating with a weak AC system [12]- [14].…”

Section: Variablesmentioning

confidence: 99%

Impact of Strength and Proximity of Receiving AC Systems on Cascaded LCC-MMC Hybrid HVDC System

Xiang

et al. 2022

IEEE Trans. Power Delivery

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Section: Variablesmentioning

confidence: 99%

Impact of Strength and Proximity of Receiving AC Systems on Cascaded LCC-MMC Hybrid HVDC System

Xiang

et al. 2022

IEEE Trans. Power Delivery

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“…Meanwhile, the high-bandwidth PLL may deteriorate the stability of VSC under a weak system scenario [9]. Accordingly, slowing down the PLL and reducing the PLL bandwidth can improve the system stability [10].…”

Section: Introductionmentioning

confidence: 99%

Mechanism analysis of the influence of the strength of the receiving end AC system on the stability of MMC-HVDC system

ZHOU,

XIE,

ZHOU

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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The instability issues of phase-locked loop (PLL) may have an adverse impact on the stable operation of modularmultilevel-converter-based high voltage DC system (MMC-HVDC), especially the strength of the adjacent AC system is very weak with a low short circuit ratio (SCR). However, there is no consensus about how weak the system is when the influence of PLL cannot be ignored. To address the gap, this paper firstly establishes the small-signal models of the MMC with and without the dynamic of the PLL, respectively. Then, mechanism analysis of the influence of the strength of the AC system on the stability of the MMC-HVDC system. According to the comparative analysis, the recommendation SCR boundary that the dynamics of the PLL can not be ignored is given. Finally, electromagnetictransient simulations of an LCC-MMC system are conducted to validate the above analysis.

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Stochastic stability analysis method for doubly fed generator sets considering random blade stress

Chen,

Wang,

Wei

et al. 2024

Energy Science & Engineering

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With the increasing capacity of doubly fed induction generators (DFIGs), the diameter of the wind turbine is increasing, the blades are getting longer and longer, and in the process of power generation, the tower shadow effect as well as the role of wind shear are more obvious, and the random blade stresses caused by this is also getting bigger. Random blade stresses cause random and cyclic fluctuations in the power generated by the wind turbine, and power fluctuations often cause voltage flicker, which affects the control system and power quality. To address the impact of random blade stresses on the grid‐connected stability of DFIG, the results of the traditional stability analysis methods may be too conservative or lead to too high a dimensionality to be analyzed. To solve the above problems, this paper proposes a grid‐connected stochastic stability analysis method for DFIG sets considering random blade stresses based on the stochastic averaging method under the Hamiltonian system. a stochastic dynamics model of the doubly fed wind farm was established by considering random blade stress. Subsequently, using the proposed generalized Hamiltonian principle, the model and energy functions in the proposed Hamiltonian form H, based on the stochastic averaging method (SAM), were established to obtain the system energy diffusion equation. Probability density function and regional stability probability were obtained from explicit expressions of the mean and regression square root processes. The drift and diffusion coefficients were obtained using the SAM, and the backward Kolmogorov equation was derived from the Ito equation to obtain the conditional reliability function and the probability density of the first crossing time. Finally, the effects of torque fluctuations with different stochastic intensities on the grid‐connected stability of doubly fed wind farms were investigated, and the effectiveness of the proposed generalized Hamiltonian SAM applied to the stochastic stability analysis of DFIG was verified by numerical analysis and Monte Carlo simulation. This provides a theoretical foundation for analyzing the grid‐connected stability of DFIG affected by random blade stresses.

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Comparative Study of Small-Signal Stability Under Weak AC System Integration for Different VSCs

Cited by 14 publications

References 29 publications

Impact of Strength and Proximity of Receiving AC Systems on Cascaded LCC-MMC Hybrid HVDC System

Impact of Strength and Proximity of Receiving AC Systems on Cascaded LCC-MMC Hybrid HVDC System

Mechanism analysis of the influence of the strength of the receiving end AC system on the stability of MMC-HVDC system

Stochastic stability analysis method for doubly fed generator sets considering random blade stress

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