Data-Driven Model Predictive Control for Fast-Frequency Support
Author:
Affiliation:
1. University of Maine,Electrical and Computer Engineering,Orono,Maine,USA
2. Energy Storage Tech and Systems Sandia National Laboratories,Albuquerque,New Mexico,USA
Funder
Office of Electricity
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10361838/10361943/10362777.pdf?arnumber=10362777
Reference18 articles.
1. A Model Predictive Approach for Voltage Support in Microgrids using Energy Storage Systems
2. Optimization-Based Fast-Frequency Estimation and Control of Low-Inertia Microgrids
3. Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search
4. Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach
5. Grid-Supporting Battery Energy Storage Systems in Islanded Microgrids: A Data-Driven Control Approach
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1. Power System Frequency Dynamics Modeling, State Estimation, and Control using Neural Ordinary Differential Equations (NODEs) and Soft Actor-Critic (SAC) Machine Learning Approaches;ACM SIGAPP Applied Computing Review;2024-03
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