2020
DOI: 10.1109/tpwrs.2020.2974026
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Distributed Control of Battery Energy Storage Systems for Improved Frequency Regulation

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Cited by 63 publications
(35 citation statements)
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“…The distributed control of battery energy storage for frequency regulation is investigated in Ref. [116]; the OCO framework is justified to be more effective than those prediction‐based algorithms. This method also makes sense in the distributed charging control of electric vehicles [117].…”
Section: Online Optimisationmentioning
confidence: 99%
“…The distributed control of battery energy storage for frequency regulation is investigated in Ref. [116]; the OCO framework is justified to be more effective than those prediction‐based algorithms. This method also makes sense in the distributed charging control of electric vehicles [117].…”
Section: Online Optimisationmentioning
confidence: 99%
“…The applications such as electric vehicles (EVs), portable electronics, and for frequency regulation, etc. highly demand the batteries with low cost, high power density, light weight, high safety, long life and environmentally friendly in nature [12,[49][50][51][52][53]. The electrochemical energy storage batteries include sodium sulfur (Na-S), sodium-ion (Na-ion), K-ion), Zn-ion, Zn-air, lithium-ion (Li-ion), lithium air (Li-air), redox flow, aqueous rechargeable and thin-film batteries.…”
Section: Batterymentioning
confidence: 99%
“…Under the background of power grid interconnection, lowfrequency oscillation can not be ignored and must be solved. There are many problems and challenges in the application of some traditional additional excitation controllers for conventional systems in large-scale complex systems, such as unable to obtain some states of the system [4], complex system calculation [5], network traffic exceeding the requirements of the controller and so on. Multi-agent system has the characteristics of autonomy and flexibility, which provides a new solution for the safety and stability control of large-scale and distributed interconnected power system.…”
Section: Introductionmentioning
confidence: 99%