摘 要
电力系统频率稳定性是确保电网安全可靠运行的关键因素，随着可再生能源渗透率不断提高以及电力电子设备广泛应用，传统频率稳定控制面临诸多挑战。为此，本文聚焦于现代电力系统中频率稳定性分析与控制策略研究，旨在建立适应新型电力系统的频率稳定评估体系并提出有效控制方法。基于此，首先构建了含高比例新能源接入的电力系统动态模型，采用时域仿真与特征值分析相结合的方式深入剖析频率特性；其次，引入深度学习算法对频率响应进行预测，通过大量历史数据训练神经网络模型以提高预测精度；再次，设计了一种基于多源协调控制的频率稳定控制策略，该策略综合考虑常规机组、储能系统及需求侧资源的协同作用，实现了快速有效的频率调节。研究结果表明，所提方法能够显著提升电力系统在遭受扰动后的频率恢复能力，有效抑制频率波动幅度，缩短频率恢复时间。此外，本研究提出的基于深度学习的预测模型具有较高准确性，为频率稳定控制提供了可靠的决策依据，对于保障现代电力系统的安全稳定运行具有重要意义。
关键词：频率稳定性 可再生能源渗透 深度学习预测
Abstract
Frequency stability of power systems is a critical factor in ensuring the secure and reliable operation of electrical grids. As the penetration rate of renewable energy increases and power electronic devices are widely applied, traditional frequency stability control faces numerous challenges. This study focuses on the analysis and control strategies for frequency stability in modern power systems, aiming to establish an evaluation system suitable for new-type power systems and propose effective control methods. Firstly, a dynamic model of power systems with high-proportion renewable energy integration is constructed, and frequency characteristics are thoroughly analyzed using a combination of time-domain simulation and eigenvalue analysis. Secondly, deep learning algorithms are introduced to predict frequency response, where neural network models are trained with extensive historical data to enhance prediction accuracy. Furthermore, a multi-source coordinated control-based frequency stability control strategy is designed, which takes into account the synergistic effects of conventional units, energy storage systems, and demand-side resources, achieving rapid and effective frequency regulation. The research results indicate that the proposed methods can significantly improve the frequency recovery capability of power systems after disturbances, effectively suppress the amplitude of frequency fluctuations, and shorten the frequency recovery time. Additionally, the deep learning-based prediction model proposed in this study exhibits high accuracy, providing a reliable basis for frequency stability control decisions, which is of great significance for ensuring the safe and stable operation of modern power systems.
Keyword:Frequency Stability Renewable Energy Penetration Deep Learning Prediction
目 录
引言 1
1频率稳定性的基础理论 1
1.1电力系统频率特性分析 1
1.2频率稳定性影响因素 2
1.3频率稳定性的评估指标 2
2频率波动的建模与仿真 3
2.1频率波动数学模型 3
2.2仿真工具与平台选择 3
2.3典型场景下的频率响应 4
3频率稳定性的控制策略 4
3.1常规控制方法综述 4
3.2智能控制技术应用 5
3.3控制策略的优化设计 6
4实际系统的频率稳定性分析 6
4.1实际电网数据采集 6
4.2稳定性案例分析 7
4.3改进措施与建议 7
结论 8
参考文献 9
致谢 10
