首页|基于BP神经网络的风电并网系统暂态稳定定量评估研究

基于BP神经网络的风电并网系统暂态稳定定量评估研究

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风电并网系统暂态稳定定量评估对于保障现代电力系统的安全稳定运行具有重要意义,而风电机组复杂多变的工况又为电力系统暂态稳定定量评估增加了难度.分析了风电并网系统暂态稳定影响因素,研究了BP神经网络的原理,在此基础上建立了基于BP神经网络的风电并网系统暂态稳定定量评估模型.最后通过某实际系统算例验证方法的有效性.
Study on the Quantitative Evaluation of Transient Stability of Wind Power Grid-connected System Based on BP Neural Network
The quantitative evaluation of transient stability of wind power grid-connected system is of great signifi-cance for ensuring the safe and stable operation of modern power system,and the complex and changeable working conditions of wind turbine increase the difficulty for the quantitative evaluation of transient stability of power sys-tem.This paper first analyzes the influencing factors of transient stability of wind power grid-connected system,stud-ies the principle of BP neural network,and establishes the quantitative evaluation model of transient stability of wind power grid-connected system based on BP neural network.Finally,the effectiveness of this method is verified through a practical system example.

transient stabilityBP neural networkwind turbinelimit resection time

吕强、宋学彬、张师

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内蒙古国龙能源管理有限责任公司,内蒙古 呼和浩特 010000

内蒙古电力科学研究院,内蒙古 呼和浩特 010000

东北电力大学电气工程学院,吉林 吉林 132012

暂态稳定 BP神经网络 风电机组 极限切除时间

2024

电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
年,卷(期):2024.62(6)