Open Access

ARTICLE

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

Yuping Bian^*, Xiu Wan, Xiaoyu Zhou
School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, China
* Corresponding Author: Yuping Bian. Email:

Energy Engineering https://doi.org/10.32604/ee.2024.047678

Received 14 November 2023; Accepted 12 January 2024; Published online 12 March 2024

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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Keywords

Transient preventive control; chance-constrained programming; multi-objective PSO; TSCOPF; wind farm

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