基于改进的NSGA-II,优化双供应感应发电机中的转子侧控制器参数
Yanling Lv1, Xiang Zhao1, Zexin Mou2
1School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang Province, China.
PloS one
|June 23, 2025
概括
这项研究引入了一种改进的遗传算法,用于在电网电压激增期间稳定风力轮发电机. 这种先进的方法可以减少设备的磨损和波扭曲,从而提高电网的弹性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
背景情况:
- 风力轮机发电机在电网电压激增时面临运行不稳定.
- 传统的控制方法可能无法充分解决短暂的电压干扰.
- 转子侧转换器动力学和控制器在瞬态条件下的行为需要详细的调查.
研究的目的:
- 提出一种先进的控制策略,以提高风力轮机发电机在电网电压激增期间的稳定性.
- 提出使用改进的非主导排序遗传算法II (NSGA-II) 的多目标优化框架.
- 为了研究转子侧转换器和比例积分导数 (PID) 控制器在电压过渡时的动态模型.
主要方法:
- 为旋翼侧转换器开发动态模型.
- 在电压瞬态下对比例-积分-导数 (PID) 控制器动态的研究.
- 实施一个改进的非主导排序基因算法II (NSGA-II) 进行多目标优化.
主要成果:
- 与传统的NSGA-II相比,改进的NSGA-II表现出优越的稳定性,粒子群优化和灰狼优化算法.
- 拟议的策略有效地抑制了在短暂条件下设备的磨损.
- 在过渡电压条件下实现了显著的波扭曲最小化.
结论:
- 开发的控制策略提高了风力轮发电机在电网电压激增期间的运行稳定性.
- 改进的基于NSGA-II的框架为缓解短暂影响提供了强大的解决方案.
- 这一进步有助于提高风电系统的电网弹性和运营效率.
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