Dynamic Event-Triggered-Based Integral Reinforcement Learning Algorithm for Frequency Control of Microgrid With Stochastic Uncertainty-Reference-Cited by-同舟云学术

Dynamic Event-Triggered-Based Integral Reinforcement Learning Algorithm for Frequency Control of Microgrid With Stochastic Uncertainty

Published:2023-08 Issue:3 Volume:69 Page:321-330
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Tong Xin¹^ORCID,Ma Dazhong¹^ORCID,Wang Rui¹^ORCID,Xie Xiangpeng²^ORCID,Zhang Huaguang³^ORCID

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, China

2. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

3. State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/30/10221725/10035446.pdf?arnumber=10035446

Reference41 articles.

1. Gain Scheduling Technique using MIMO Type-2 Fuzzy Logic System for LFC in Restructure Power System

2. Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy

3. Hierarchically Adaptive Frequency Control for an EV-Integrated Smart Grid With Renewable Energy

4. Dynamic Event-Triggering Neural Learning Control for Partially Unknown Nonlinear Systems

5. On stability, L2-gain and H∞ control for switched systems

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