A statistical approach to assess the impact of wind power generation on network frequency

Wang, X.L.; Choi, S.S.

doi:10.1109/icca.2009.5410246

Cited by 2 publications

(3 citation statements)

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“…Compared with the whole time domain simulation results, the maximum error in the frequency drop is less than 0.005 Hz, and the frequency steady value error is less than 0.006 Hz; thus, the extended SFR model method can calculate the frequency response process of the system. Compared with the conventional SFR model (proposed in [18]), the proposed extended SFR model exhibits a smaller frequency nadir error and steady-state frequency error. It can also more efficaciously reflect the dynamic response characteristics of wind turbines.…”

Section: Wind Speed(m/sec)mentioning

confidence: 99%

“…A frequency domain model, including governors, networks and load characteristics is developed in [17] to analyze the power system frequency response to wind power fluctuations of different frequencies. The researchers in [18] develop an assessment method on the impact of wind power injection on power system frequency deviations. However, the above studies consider the wind turbine as a negative load, ignoring the internal dynamic response characteristics of the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

“…The above research can effectively improve the frequency control ability of wind turbines themselves. However, relatively little literature focuses on the dynamic frequency response characteristics of wind power integrated power systems [17,18]. A frequency domain model, including governors, networks and load characteristics is developed in [17] to analyze the power system frequency response to wind power fluctuations of different frequencies.…”

Section: Introductionmentioning

confidence: 99%

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An Extended System Frequency Response Model Considering Wind Power Participation in Frequency Regulation

et al. 2017

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With increasing penetration of wind power into the power system, wind power participation in frequency regulation is regarded as a beneficial strategy to improve the dynamic frequency response characteristics of power systems. The traditional power system frequency response (SFR) model, which only includes synchronous generators, is no longer suitable for power systems with high penetrated wind power. An extended SFR model, based on the reduced-order model of wind turbine generator (WTG) and the traditional SFR model, is presented in this paper.In the extended SFR model, the reduced-order model of WTG with combined frequency control is deduced by employing small signal analysis theory. Afterwards, the stability analysis of a closed-loop control system for the extended SFR model is carried out. Time-domain simulations using a test system are performed to validate the effectiveness of the extended SFR model; this model can provide a simpler, clearer and faster way to analyze the dynamic frequency response characteristic for a high-wind integrated power systems. The impact of additional frequency control parameters and wind speed disturbances on the system dynamic frequency response characteristics are investigated.

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Section: Wind Speed(m/sec)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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