2016
DOI: 10.1371/journal.pone.0145135
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Dynamics of Complex Systems Built as Coupled Physical, Communication and Decision Layers

Abstract: This paper proposes a simple model to capture the complexity of multilayer systems where their constituent layers affect, and are affected by, each other. The physical layer is a circuit composed by a power source and resistors in parallel. Every individual agent aims at maximizing its own delivered power by adding, removing or keeping the resistors it has; the delivered power is in turn a non-linear function that depends on the other agents’ behavior, its own internal state, its global state perception, the i… Show more

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Cited by 13 publications
(19 citation statements)
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References 45 publications
(55 reference statements)
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“…Our previous results in [12] can be seen as the benchmark scenario where no demand-side management is considered; there we showed: (i) different communication network topologies (ring and Watt-Strogatz-Graph [24]) lead to different levels of power utilization and fairness at the physical layer and (ii) a certain level of error induces more cooperative behavior at the regulatory layer. Now, if demand-side control or pricing schemes are considered, which is the focus of the present work, the system behaves in a more predictable manner and is less dependent on its size.…”
Section: Notationmentioning
confidence: 90%
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“…Our previous results in [12] can be seen as the benchmark scenario where no demand-side management is considered; there we showed: (i) different communication network topologies (ring and Watt-Strogatz-Graph [24]) lead to different levels of power utilization and fairness at the physical layer and (ii) a certain level of error induces more cooperative behavior at the regulatory layer. Now, if demand-side control or pricing schemes are considered, which is the focus of the present work, the system behaves in a more predictable manner and is less dependent on its size.…”
Section: Notationmentioning
confidence: 90%
“…To do so, we use an agent-based model, recently proposed by the authors in [12], to model agents' interactions within a system constituted of three layers (physical, communication and regulatory, to be explained later) and then obtain a better understanding of both the inter-and intra-layer dynamics. We therefore expect to provide a different perspective about demand-side management policies [13]- [16] that goes beyond individual utility maximization and purely competitive strategies (usual assumptions of many economic researches [9]).…”
Section: Introductionmentioning
confidence: 99%
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“…The model is constructed as an agent based model [14] (ABM) where all market participants are agents. Agent based models are used in a variety of contexts [16] and in the context of power grids [17]- [20]. In the context of economic research, more conservative approaches are, however, the mostly employed, which has been recently criticized [21].…”
Section: Proposed Modelmentioning
confidence: 99%