Volume 26, Issue 6 pp. 1171-1183
Research Article

A security-constrained flexible demand scheduling strategy for wind power accommodation

Jun Xie

Corresponding Author

Jun Xie

College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023 Jiangsu Province, China

Correspondence to: Jun Xie, College of Automation, Nanjing University Posts and Telecommunications, Nanjing 210023, Jiangsu Province, China.

E-mail: [email protected]

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Ke Wang

Ke Wang

China Electric Power Research Institute, Nanjing, 210037 Jiangsu Province, China

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Donghan Feng

Donghan Feng

Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai, 200240 China

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Dan Zeng

Dan Zeng

China Electric Power Research Institute, Nanjing, 210037 Jiangsu Province, China

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Yaping Li

Yaping Li

China Electric Power Research Institute, Nanjing, 210037 Jiangsu Province, China

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Dong Yue

Dong Yue

College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023 Jiangsu Province, China

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First published: 07 September 2015
Citations: 7

Summary

The rapid development of wind power integration brings significant challenges to the regulation of power systems. Flexible demand scheduling is an effective complement to traditional generation scheduling that can be employed to accommodate wind power. Meanwhile, the transmission power flow and the node voltages will change because of the variability of wind power, which makes the security constraints of the power network one of the key factors for the accommodation of wind power. Given this background, a security-constrained flexible demand scheduling strategy for the accommodation of wind power is proposed in this paper to minimize the scheduling cost of flexible demand. The proposed scheduling strategy first considers the security constraints of the transmission interfaces, the constraints of flexible demand response, and the constraints of response benefit satisfaction of flexible demand. Then, the sensitivity analysis method and an interior-point method are employed to solve the scheduling model. Finally, the performance of the proposed strategy is tested using a case based on a provincial power grid in China. The results verify that the modeling and solution method can effectively accommodate the uncertainties of wind power output and that the transmission interface power is controlled within the scope of the security constraints. Copyright © 2015 John Wiley & Sons, Ltd.

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