Optimal regulator with time‐shifted state space expression converted from AR model for smart grid FastADR | Zendy

Ninagawa Chuzo | Zendy; Asaka Hidetoshi | Zendy; Takahama Morio | Zendy

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Optimal regulator with time‐shifted state space expression converted from AR model for smart grid FastADR

Author(s) -

Ninagawa Chuzo,

Asaka Hidetoshi,

Takahama Morio

Publication year - 2017

Publication title -

ieej transactions on electrical and electronic engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.254

H-Index - 30

eISSN - 1931-4981

pISSN - 1931-4973

DOI - 10.1002/tee.22467

Subject(s) - smart grid , autoregressive model , set point , variable (mathematics) , grid , state variable , state space representation , regulator , state (computer science) , set (abstract data type) , power consumption , state space , control theory (sociology) , computer science , optimal control , control (management) , engineering , power (physics) , control engineering , mathematical optimization , mathematics , electrical engineering , algorithm , artificial intelligence , physics , statistics , chemistry , mathematical analysis , biochemistry , geometry , quantum mechanics , thermodynamics , programming language , gene

Optimal control of the smart grid fast automated demand response (FastADR) of air‐conditioning facility is studied. A time‐shifted state space expression of the target facility is system‐identified through autoregressive modeling. We demonstrate this optimal control by using our proposed k ‐step‐shifted state variable vectors, which show the precise power consumption response to the FastADR command, while the trade‐off variable of room temperature set point deviation remains nearly unchanged. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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