Deep reinforcement learning‐based optimal data‐driven control of battery energy storage for power system frequency support
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological UniversitySingapore
2. Singapore Institute of TechnologySingapore
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2020.0884
Reference26 articles.
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3. On droop control of energy‐constrained battery energy storage systems for grid frequency regulation;Shim J.W.;IEEE Access,2019
4. Supplementary load frequency control by use of a number of both electric vehicles and heat pump water heaters;Masuta T.;IEEE Trans. Smart Grid,2012
5. Robust LFC in a smart grid with wind power penetration by coordinated V2G control and frequency controller;Vachirasricirikul S.;IEEE Trans. Smart Grid,2014
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