Title: Biologically inspired modelling of smart grid for dynamic power-flow control under power failure

Authors: Hidefumi Sawai; Hideaki Suzuki; Hiroyuki Ohsaki

Addresses: National Institute of Information and Communications Technology, 588-2, Iwaoka, Nishi-ku, Kobe 651-2492, Japan ' National Institute of Information and Communications Technology, 588-2, Iwaoka, Nishi-ku, Kobe 651-2492, Japan ' Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Japan

Abstract: Smart grid is an electric power network that enables an effective use of electric power in a highly parallel-distributed manner. We have first formulated the basic equations for the smart grid by inspiring from the mechanisms in biological organism, and controlled the power-flow dynamically in the smart grid by monitoring an objective function, which reflects the power-flow and the constraint imposing on the power nodes. To validate the operation of the smart grid, we performed several simulation experiments, which include the operations of a conventional power network, a microgrid (comprises eight power nodes), and a smart grid (comprises three microgrids integrated into the conventional power network) both in synchronous and asynchronous manners for the operation of power nodes. Furthermore, even for several cases of power failure such as outage, a thunderbolt shock on the power plant and disconnection of power cables, power recovery can be automatically achieved through bypass connections similar to synaptic interconnections in a dynamic function of brain. Thus, the proposed control method guarantees a dynamically stable operation even in several cases of power failure by monitoring the objective function, while always reflecting an optimal state in smart grid as a whole system.

Keywords: smart grid; dynamic power-flow control; highly distributed asynchronous system; brain function; fault tolerance; microgrid; demand response; power-failure; automatic power recovery; biologically inspired modelling; optimisation; objective function; simulation.

DOI: 10.1504/IJAACS.2018.10015926

International Journal of Autonomous and Adaptive Communications Systems, 2018 Vol.11 No.4, pp.365 - 389

Received: 04 Feb 2017
Accepted: 09 Apr 2017

Published online: 06 Sep 2018 *

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