Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A2L-A
Session:
Number:A2L-A-3
A bio-Inspired Pattern Dynamics of Power Flow in Consensus Networks
Hiroyasu Ando, Mikio Hasegawa, Takashi Hikihara,
pp.108-111
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
Management of distributed power storages in networked systems could be useful technology for robust and flexible power supply to distributed loads. Such a mechanism are inherent in biological systems. Specifically, functions such as adaptation of power supply patterns according to frequency of use and exchanging and concentrating power among network nodes are applicable to engineering systems. In this study, we consider a model of power flow in network systems by using consensus dynamics which is compatible with charge dynamics in electronic circuits. We discuss how to implement the adaptation function and power exchange in the power packet dispatching system.