风力轮机的协调神经适应性主动功率控制,考虑到杆系统负载减轻
Xuguo Jiao1, Hao Luo2, Bo Fan3
1School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
ISA transactions
|January 9, 2026
概括
本研究介绍了一种协调主动功率控制 (APC) 策略,以稳定高风能电力系统. 该方法可以减少系统负载,同时保持精确的输出功率,提高电网稳定性.
科学领域:
- 电力系统工程 电力系统工程
- 整合可再生能源的整合
- 控制系统 控制系统
背景情况:
- 高风能透可能导致电力系统不稳定.
- 积极功率控制 (APC) 对于缓解这些问题至关重要.
- 现有的方法可能无法充分降低道系统负载.
研究的目的:
- 为具有较高风能透率的电力系统开发一个协调的APC方案.
- 为了降低杆系统负载,同时确保准确的活性功率跟踪.
- 提高电网的稳定性和可靠性,使用大量可再生能源.
主要方法:
- 设计了一个根据风速更新的音调激活限制参数,以扩大转子速度调节范围.
- 开发了一个基于神经网络 (NN) 的控制器,具有细分重量更新,以实现平滑的角变化.
- 实现了强大的差分器来估计旋转机和风速衍生值,消除了额外传感器的需求.
主要成果:
- 拟议的APC方案有效地降低了球场系统负载.
- 保持了准确的活性功率跟踪性能.
- 模拟证实了该方法在稳定动力系统中的有效性.
结论:
- 协调APC计划成功地解决了风能透率高的不稳定性问题.
- 该战略提供了一种可行的解决方案,用于降低距离系统负载并提高电源质量.
- 这种方法增强了风能在电网中的整合.
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