Modelling Smart Grid Demand Response with Statistical Process Control
Mahmud Rahman
Georgia Institute of Technology
Nusrat Hassan
Zhejiang University
Abstract
The interplay between smart grid demand response and long-term reliability in hydropower reservoirs has received comparatively little systematic attention. Simulations were performed with electrochemical impedance spectroscopy and verified through a mesh- and time-step-sensitivity study. The proposed controller improved settling time by 46% compared with the baseline. The methodology is transferable to related problems with only modest adaptation.
Keywords:
smart grid demand responseelectrochemical impedance spectroscopyseismic performanceparticulate matter
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