基因算法类型 2 微电网系统的模糊逻辑控制器,使用分数顺序技术
Bouziane Maroua1, Zarour Laid1, Habib Benbouhenni2
1Department of Electrical Engineering, Laboratory of Electrical Constantine (LEC), Mentouri University of Constantine 1, Constantine, Algeria.
Scientific reports
|February 21, 2025
概括
一个由基因算法 (GA) 优化的新型混合微分序类型-2模糊逻辑控制器 (FO-T2FLC) 增强了微电网控制. 这种先进的系统提高了功率质量,减少了总波扭曲,在没有系统模型的情况下提供了强大的性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源系统可再生能源系统
背景情况:
- 由于可再生能源的波动和负载的变化,微电网面临控制挑战.
- 传统的控制方法可能会与固有的系统不确定性和动态响应作斗争.
- 有效的微电网管理对于电网稳定性和高效的电力供应至关重要.
研究的目的:
- 开发和评估一种混合的分数顺序类型-2模糊逻辑控制器 (FO-T2FLC),通过基因算法 (GA) 优化用于微电网控制.
- 为了提高微电网系统的动态响应,电力质量和稳定性.
- 为了减少总波扭曲 (THD) 和改善微电网中的电压调节.
主要方法:
- 设计了一种混合控制策略,将GA优化的T2FLC与分数顺序微积分结合起来.
- 该控制器应用于具有光伏阵列,电池存储和具有主动功率波器的多功能逆变器的微电网系统.
- 使用MATLAB模拟验证了性能,将拟议的FO-T2FLC-GA与T2FLC-GA和三级滑动模式控制进行比较.
主要成果:
- 该FO-T2FLC-GA方法显著降低了当前总波扭曲 (THD) 高达80%.
- 它改善了直流 (DC) 链路电压调节,与T2FLC-GA相比,显著的百分比减少了稳定状态误差,低位,波动和超位.
- 与第三级滑动模式控制相比,拟议的方法显示响应时间,超速和波纹的实质性改进.
结论:
- 拟议的FO-T2FLC-GA方法为微电网控制提供了一个强大而高效的解决方案,其性能优于现有的方法.
- 它的型号独立性和在电源质量改善和电压调节方面的卓越性能使其适用于各种工业应用.
- 这种先进的控制策略对未来的微电网实施和其他复杂的电力系统具有前景.
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