A Reinforcement-Learning, Optimal Approach to In Situ Power Hardware-in-the-Loop Interface Control for Testing Inverter-Based Resources: Theory and Application of the Adaptive Dynamic Programming Based on the Hybrid Iteration to Tackle Uncertain Dynamics

IF 7.5 1区工程技术 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Industrial Electronics Pub Date : 2024-11-14 DOI:10.1109/tie.2024.3426038

Masoud Davari, Omar Qasem, Weinan Gao, Frede Blaabjerg, Panos C. Kotsampopoulos, Georg Lauss, Nikos D. Hatziargyriou

引用次数: 0

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用于测试逆变器资源的现场电力硬件在环接口控制的强化学习优化方法：基于混合迭代的自适应动态编程理论与应用：解决不确定动态问题

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Industrial Electronics 工程技术-工程：电子与电气

CiteScore

16.80

自引率

9.10%

发文量

1396

审稿时长

6.3 months

期刊介绍： Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.