A Biologically-Inspired Smart Grid Replication

S. Z. Stefanov and Paul P. Wang
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S. Z. Stefanov: ESO EAD, 5 Veslets Str. 1040 Sofia, Bulgaria
Paul P. Wang: Department of Electrical and Computer Engineering, Duke University, NC 27708, USA

New Mathematics and Natural Computation (NMNC), 2017, vol. 13, issue 03, 375-383

Abstract: The characteristics of the replication is investigated in this paper. By invoking the Potts model versus holographic superconductors for “gauge” versus “string”, the pair forms as a duality in natural manner. It can be shown that resulted characteristics of replication hence deserves to be called as an Autopoietic Smart Grid. Furthermore, we are able to trace the factors contributed to these characteristics; the autopoiesis is contributed via gauge self-energy; the surveillance is due to Maxwell’s demon; the organizational adaptivity is due to the communication capacity of the string and the oscillations of the gauge. Finally, it can also be shown that such a Smart Grid replication exists as long as the string is stable and gauge is synchronized.

Keywords: Electricity networks; biologically inspired technology; smart grid; replication; autopoiesis; string; gauge; Potts model; holographic superconductors; stability; synchronization (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S1793005717500107

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