Wind Power Fluctuation Smoothing with BESS Considering Ultra-short-term Prediction

Zhao, Yinfeng; Shi, Xiaohan; Zhou, Boxi; Wang, Xiaolei

doi:10.1109/isgt-asia.2019.8881501

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…A coordinated controller, which will be discussed in Section III, is responsible for regulating the BESS's functionality to switch between 1 (ON) and (OFF). Subsequently, the effective 𝑃 𝑏𝑎𝑡𝑡 is employed in (11) to estimate 𝑆𝑂𝐶 and combined with 𝑃 𝑔𝑒𝑛 to be delivered to the grid. Battery sizing will not be discussed in this work as the focus is to examine the proposed controller's performance.…”

Section: B Bess Model and Operationsmentioning

confidence: 99%

“…Once the controller has been developed, its functionality in the designated scenarios will be verified. It may be noted that the controller is evaluated on the full-nonlinear model of the WTG-BESS system as described in ( 2) -( 7) and (11). Fig.…”

Section: Validation Of the Proposed Controllermentioning

confidence: 99%

“…In addition, the forecasted 𝑆𝑂𝐶 is exposed in the same graph for reference. It should be emphasized that the forecasted 𝑆𝑂𝐶 refers to the 𝑆𝑂𝐶 dynamic that is estimated using (11) in advance during 𝑃 𝑟𝑒𝑓 determination when wind power forecast is applied. The difference between the wind power forecast and 𝑃 𝑟𝑒𝑓 is calculated in order to produce the required battery power, which is then applied to the BESS model without regard for any uncertainty.…”

Section: B Case Study Ii: Scheduled Reference Power Considering Wind ...mentioning

confidence: 99%

“…In the realm of real-time dispatch intervals, diverse configurations and control strategies for both wind farms and BESS have been recommended. An ultra-short-term wind power prediction-based control technique for BESS is proposed in [11] to mitigate power fluctuations. Authors in [12] proposes a coordinated control technique for a combined wind-storage system's charge/discharge time and the active and reactive power outputs of BESS.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Active Power Dispatchability of WTG-BESS Through Integrated Control Considering Wind Forecast Error

Suboh,

Sharma,

Tushar

et al. 2024

IEEE Access

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This paper proposes a new integrated control scheme for large-scale wind turbine generators (WTG) incorporated with a battery energy storage system (BESS). The primary goal is to improve the dispatchability of wind power over a wide range. The proposed controller consists of switching feedback controllers for WTG equipped with BESS management and is developed to systematically govern both systems for optimal regulation while ensuring safe operation within defined limits. A scenario-based switching logic is recommended to coordinate the hybrid systems, and a three-layer WTG controller is devised using a gain-scheduled control method. The suggested controller's performance is evaluated through simulation case studies, particularly in dealing with wind forecast errors (WFE) in the short-term dispatch scheme. To assess the proposed controller's effectiveness, a comparison is made against a baseline controller in three criteria: standard deviation (STD), mean (X ̅ ) and an integral absolute error (IAE). These criteria help to evaluate the energy mismatch concerning the reference power command. The results are presented to elucidate the effectiveness of the proposed controller in regulating WTG-BESS throughout the entire operating region using a real wind profile from a wind farm in Australia. The findings show that the proposed approach has significant potential to enhance performance, leading to vastly improved wind power dispatch compared to the baseline approach.INDEX TERMS Battery Energy Storage System (BESS), short-term dispatch scheme, switching controller, wind forecast error (WFE), wind power dispatchability.

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Section: B Bess Model and Operationsmentioning

confidence: 99%

Section: Validation Of the Proposed Controllermentioning

confidence: 99%

Section: B Case Study Ii: Scheduled Reference Power Considering Wind ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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