可再生能源
储能
自动频率控制
计算机科学
能量(信号处理)
汽车工程
控制(管理)
功率(物理)
工艺工程
环境科学
控制工程
电气工程
工程类
电信
物理
人工智能
量子力学
作者
Zhenlan Dou,Chunyan Zhang,Xichao Zhou,Danying Gao,Xinghua Liu
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2025-07-08
卷期号:18 (14): 3610-3610
摘要
A scheme of load frequency control (LFC) is proposed based on the deep deterministic policy gradient (DDPG) and active disturbance rejection control (ADRC) for multi-region interconnected power systems considering the renewable energy sources (RESs) and energy storage (ES). The dynamic models of multi-region interconnected power systems are analyzed, which provides a basis for the subsequent RES access. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are adopted due to their rapid response capabilities and fast charge–discharge characteristics. To stabilize the frequency fluctuation, a first-order ADRC is designed, utilizing the anti-perturbation estimation capability of the first-order ADRC to achieve effective control. In addition, the system states are estimated using a linear expansion state observer. Based on the output of the observer, the appropriate feedback control law is selected. The DDPG-ADRC parameter optimization model is constructed to adaptively adjust the control parameters of ADRC based on the target frequency deviation and power deviation. The actor and critic networks are continuously updated according to the actual system response to ensure stable system operation. Finally,the experiment demonstrated that the proposed method outperforms traditional methods across all performance indicators, particularly excelling in reducing adjustment time (45.8% decrease) and overshoot (60% reduction)
科研通智能强力驱动
Strongly Powered by AbleSci AI