微电网的高级负载频率控制使用蝙蝠算法,在光伏电源的存在下支持气球效应标识符
Ahmed M Ewias1, Sultan H Hakmi2, Tarek Hassan Mohamed1
1Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, Egypt.
PloS one
|October 20, 2023
概括
使用蝙蝠算法和气球效应识别器的自适应性负载频率控制方法稳定了微电网与不可预测的绿色能源. 与其他方法相比,这种方法显著提高了频率稳定性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 整合可再生能源的整合
背景情况:
- 太阳能和风能等不可预测的绿色能源 (GES) 会导致微电网 (μG) 的频率偏差.
- 参数不确定性和负载干扰进一步影响系统频率稳定性.
- 现有的控制方法可能无法充分应对这些动态挑战.
研究的目的:
- 为电力系统提出适应性负载频率控制 (LFC) 方法,以减轻频率偏差.
- 为了提高光伏 (PV) 源的高透率的微电网的频率稳定性.
- 研究一种新型控制策略与现有技术的有效性.
主要方法:
- 一种使用人工蝙蝠算法 (BA) 进行在线增益调整的自适应性LFC方法.
- 整合气球效应 (BE) 标识符以支持基于BA的集成控制器.
- 使用标准集成控制器和Jaya+BE优化技术进行比较分析.
- 通过 MATLAB 模拟和实时测试使用 PC 和 QUARC 数据采集卡进行验证.
主要成果:
- 拟议的BA+BE方案在步骤/随机负载需求和光伏集成下保持频率稳定性方面表现出卓越的性能.
- BA+BE方法比积分控制器提高了61.5%的频率稳定状态,比Jaya+BE提高了31.25%.
- 稳定性和强度分析证实了BA+BE方法的有效性.
结论:
- BA+BE适应式LFC战略为微电网中频率控制提供了强大而有效的解决方案,可再生能源透率很高.
- 拟议的方法显著提高了系统应对不可预测干扰的弹性.
- 实时验证证实了BA+BE技术的实际适用性和性能.
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