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Transient Stability Preventive Control of Wind Farm Connected Power System Considering the Uncertainty

by Yuping Bian*, Xiu Wan, Xiaoyu Zhou

School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, China

* Corresponding Author: Yuping Bian. Email: email

Energy Engineering 2024, 121(6), 1637-1656. https://doi.org/10.32604/ee.2024.047678

Abstract

To address uncertainty as well as transient stability constraints simultaneously in the preventive control of wind farm systems, a novel three-stage optimization strategy is established in this paper. In the first stage, the probabilistic multi-objective particle swarm optimization based on the point estimate method is employed to cope with the stochastic factors. The transient security region of the system is accurately ensured by the interior point method in the second stage. Finally, the verification of the final optimal objectives and satisfied constraints are enforced in the last stage. Furthermore, the proposed strategy is a general framework that can combine other optimization algorithms. The proposed methodology is tested on the modified WSCC 9-bus system and the New England 39-bus system. The results verify the feasibility of the method.

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APA Style
Bian, Y., Wan, X., Zhou, X. (2024). Transient stability preventive control of wind farm connected power system considering the uncertainty. Energy Engineering, 121(6), 1637-1656. https://doi.org/10.32604/ee.2024.047678
Vancouver Style
Bian Y, Wan X, Zhou X. Transient stability preventive control of wind farm connected power system considering the uncertainty. Energ Eng. 2024;121(6):1637-1656 https://doi.org/10.32604/ee.2024.047678
IEEE Style
Y. Bian, X. Wan, and X. Zhou, “Transient Stability Preventive Control of Wind Farm Connected Power System Considering the Uncertainty,” Energ. Eng., vol. 121, no. 6, pp. 1637-1656, 2024. https://doi.org/10.32604/ee.2024.047678



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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