Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control

Haoran Zhao; Qiuwei Wu; Jianhui  Wang; Zhaoxi Liu; Mohammad  Shahidehpour; Yusheng Xue

doi:10.1109/TEC.2017.2654271

Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control

Haoran Zhao, Qiuwei Wu, Jianhui Wang, Zhaoxi Liu, Mohammad Shahidehpour, Yusheng Xue

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Abstract

This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is improved. Besides, by coordination of active and reactive power, the Var capacity is optimized to prevent potential failures due to Var shortage, especially when the wind farm operates close to its full load. An analytical method is used to calculate the sensitivity
coefficients to improve the computation efficiency and overcome the convergence problem. Two control modes are designed for both normal and emergency conditions. A wind farm with 20 wind turbines was used to verify the proposed combined control scheme.

Original language	English
Journal	IEEE Transactions on Energy Conversion
Volume	32
Issue number	3
Pages (from-to)	1177-1187
Number of pages	11
ISSN	0885-8969
DOIs	https://doi.org/10.1109/TEC.2017.2654271
Publication status	Published - 2017

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title = "Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control",

abstract = "This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is improved. Besides, by coordination of active and reactive power, the Var capacity is optimized to prevent potential failures due to Var shortage, especially when the wind farm operates close to its full load. An analytical method is used to calculate the sensitivitycoefficients to improve the computation efficiency and overcome the convergence problem. Two control modes are designed for both normal and emergency conditions. A wind farm with 20 wind turbines was used to verify the proposed combined control scheme.",

author = "Haoran Zhao and Qiuwei Wu and Jianhui Wang and Zhaoxi Liu and Mohammad Shahidehpour and Yusheng Xue",

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AU - Zhao, Haoran

AU - Wu, Qiuwei

AU - Wang, Jianhui

AU - Liu, Zhaoxi

AU - Shahidehpour, Mohammad

AU - Xue, Yusheng

PY - 2017

Y1 - 2017

N2 - This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is improved. Besides, by coordination of active and reactive power, the Var capacity is optimized to prevent potential failures due to Var shortage, especially when the wind farm operates close to its full load. An analytical method is used to calculate the sensitivitycoefficients to improve the computation efficiency and overcome the convergence problem. Two control modes are designed for both normal and emergency conditions. A wind farm with 20 wind turbines was used to verify the proposed combined control scheme.

AB - This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is improved. Besides, by coordination of active and reactive power, the Var capacity is optimized to prevent potential failures due to Var shortage, especially when the wind farm operates close to its full load. An analytical method is used to calculate the sensitivitycoefficients to improve the computation efficiency and overcome the convergence problem. Two control modes are designed for both normal and emergency conditions. A wind farm with 20 wind turbines was used to verify the proposed combined control scheme.

U2 - 10.1109/TEC.2017.2654271

DO - 10.1109/TEC.2017.2654271

M3 - Journal article

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VL - 32

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EP - 1187

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 3

ER -

Combined Active and Reactive Power Control of Wind Farms based on Model Predictive Control

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