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Application of hierarchical and distributed cognitive architecture management for the smart grid
Palicot J., Moy C., Résimont B., Bonnefoi R. Ad Hoc Networks41 (C):86-98,2016.Type:Article
Date Reviewed: Oct 11 2016

Traditional cognitive radio architecture management aims at the reconfiguration of radio access based on the current radio channel status for a second user so that the second user does not interfere with the first user of the radio channel. The scheme of reconfiguration based on the current status fits well with the smart grid since several current statuses in a power grid such as peak load and dynamic price can be used to reconfigure the grid. This paper describes how hierarchical and distributed cognitive radio architecture management (HDCRAM) is used for a home energy management system (HEMS).

The primary contribution of this paper includes mapping actors in a HEMS such as appliances, electrical vehicles, photo voltage generators, and so on, to the operators in the last hierarchy of HDCRAM and identifying the cognitive path and the configuration path among actors and HDCRAM units. Since the cognitive and the configuration path depend on the type of actors, the authors categorize the actors as suitable device, power production, storage facility, and adjustable device. For a practical simulation study, each actor is associated with some constraints, such as available power level, sheddable time limit, available production periods, and so on. The goal of the HDCRAM-based HEMS is to minimize the magnitude of the total power consumption under the given constraints.

The paper demonstrates that the HDCRAM-based HEMS shows reduced power consumption and the peak consumption compared to classical utilization where no energy management is employed. All the same, if the authors desire to indicate the effectiveness of using HDCRAM, it would be more beneficial to liken the solution to existing energy management systems (EMS) rather than no management. Without a comparison with other EMS, it would be hard for readers to understand what feature of HDCRAM makes it more suited for smart power systems than other distributed architectures.

Reviewer:  Seon Yeong Han Review #: CR144829 (1701-0052)
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Network Architecture And Design (C.2.1 )
 
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