权重平均算法调整了AGC的新型 (1 + FOPI) - FOPI-TID控制器结构,并集成了非线性和网络攻击
Moses Awal1, Michael Robson Atim2, Jimmy Nabende Wanzala3
1Physics Department, Mbarara University of Science and Technology, Mbarara, Uganda. mosesawalpower@gmail.com.
Scientific reports
|February 2, 2026
概括
一个新的 (1+FOPI) -FOPI-TID控制器通过整合分数顺序动态和倾斜整数导数阶段来增强智能电网中的自动发电控制. 通过加权平均算法进行优化,它提高了频率稳定性和应对网络攻击的弹性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 电力系统 电力系统
背景情况:
- 现代电力系统面临着巨大的负载频率管理 (LFM) 挑战,因为不同的能源,智能电网集成和固有的非线性.
- 系统漏洞包括生成速率限制,调节器死带,炉动态,通信延迟和复杂的网络攻击,威胁频率稳定性和连线电力平衡.
研究的目的:
- 提出一种新的,强大的级联控制器, (1+FOPI) - FOPI-TID,用于混合式双区域电力系统中的自动发电控制 (AGC).
- 为了优化控制器使用绿色元启发,加权平均算法 (WAA),用于增强的参数调整.
- 评估控制器在AC和HVDC连接线配置中对非线性和网络攻击的性能和弹性.
主要方法:
- 设计了一个级联控制器,将分数顺序 (FO) 元素与倾斜整数导数 (TID) 阶段相结合.
- 权重平均算法 (WAA) 是一种绿色的元启发式,用于优化控制器参数.
- 系统建模包括非线性,并在各种场景下评估性能,包括网络攻击和参数变化.
主要成果:
- 与现有方案相比,WAA优化的 (1+FOPI) -FOPI-TID控制器表现出优异的性能 (PD-PI,PIFOD-(1+PI,PIDF(1+FOD)).
- 观察到显著的改善:ITAE减少了45.3%, ΔF1的沉时间改善了47.7%, ΔF2.2的时间改善了32.8%.
- 控制器表现出对参数变化和负载干扰的稳定性,并在网络攻击期间保持了最低的频率变化率 (RoCoF).
结论:
- 提出的 (1+FOPI) -FOPI-TID控制器为复杂的电力系统中的AGC提供了强大的解决方案.
- WAA优化技术有效地增强了控制器参数调.
- 控制器在稳定电网动态和缓解网络物理威胁方面的双重能力突显了其对未来智能电网的潜力.
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