在使用FO-PID和RCO技术的DFIG中,在对称和不对称断层下实现低压通行能力
Kiomars Sabzevari1, Nima Khosravi2, Muhammad Bakr Abdelghany3,4
1Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
Scientific reports
|October 16, 2023
概括
本研究介绍了风力轮机故障穿越的优化控制方法,在电力系统中断时增强电网稳定性. 这种新的方法提高了风电场的可靠性和经济可行性.
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
- 控制系统 控制系统
背景情况:
- 电网故障对电网的可靠性和稳定性构成重大风险,需要风力轮机 (WTs) 强大的故障通行能力.
- 对于电力系统专家来说,在对称故障通行 (SFRT) 和非对称故障通行 (AFRT) 期间,确保双输电感应发电机 (DFIG) 的稳定运行至关重要.
- 现有的控制技术需要改进,以有效地管理WTs中的故障条件.
研究的目的:
- 引入基于转子组件优化 (RCO) 的创新SFRT-AFRT控制方法,用于基于DFIG的WTs的转子侧转换器 (RSC).
- 在故障期间使用边界约束和参考值建立来减弱正负序列组件.
- 通过粒子群优化 (PSO) 算法优化RSC控制特征.
主要方法:
- 在DFIGs中为RSC开发一种新的RCO控制策略.
- 对组件减弱的边界约束和参考值的实施.
- 在控制特征改进的优化循环中集成PSO算法.
- 与分数顺序 (FO) 的比例-积分-导数 (PID) 控制器进行比较分析.
主要成果:
- 拟议的基于RCO的SFRT-AFRT控制技术在电网故障期间有效减弱正负序列组件.
- 通过PSO进行优化,可以在故障条件下提高RSC的性能.
- 对比分析表明,拟议方法对FO-PID控制器的有效性,突出了潜在的优势.
结论:
- 开发的RCO控制方法提供了一个强大的解决方案,以改善WT故障乘车能力.
- 该技术在不利的故障场景中提高了电力系统的稳定性和可靠性.
- 拟议的方法显示出经济可行性和在未来风电场研究中解决更广泛的电力质量问题的潜力.
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