一个基于汉克尔规范近似的新型AGC,用于水力主导的电力系统
Sadaf Naqvi1, Ibraheem2, Gulshan Sharma3
1Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, 110025, India.
Scientific reports
|January 16, 2026
概括
模型订单减少 (MOR) 简化了自动发电控制 (AGC) 复杂的电力系统模型. 汉克尔规范近似 (HNA) 方法有效地减少模型顺序,同时保持系统动态和减少计算负载.
科学领域:
- 电力系统工程 电力系统工程
- 控制理论 控制理论
- 计算数学 计算数学 计算数学
背景情况:
- 自动生成控制 (AGC) 分析涉及计算密集的微分方程.
- 时间常数和延迟使建模复杂化,特别是在水力主导的电力系统中.
- 模型订单减少 (MOR) 对于管理高阶系统的复杂性至关重要.
研究的目的:
- 应用汉克尔规范近似 (HNA) 方法来开发AGC的减少顺序模型.
- 将一个十一阶级的水力主导电力系统模型缩小到第七,第八和第九阶级的表示.
- 评估这些减少顺序模型的稳定性边际和动态响应.
主要方法:
- 应用汉克尔标准近似 (HNA) 方法.
- 将十一级系统缩小为下级模型 (第7,8,9级).
- 用于稳定性边际评估和动态响应比较的自身价值分析.
主要成果:
- 减少订单模型成功地保持了基本的系统动态.
- 显著减少了AGC分析的计算力度.
- 与基于切断的减少相比,HNA显示出有效性.
结论:
- MOR技术,特别是HNA,对于简化复杂的AGC模型是有效的.
- 减少顺序模型为分析水力主导电力系统提供了一个计算效率高的替代方案.
- 拟议的HNA方法在AGC模型减少方面比传统的截断方法提供了优势.
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