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2018 | OriginalPaper | Buchkapitel

Network Coordinated Evolution: Modeling and Control of Distributed Systems Through On-line Genetic PID-Control Optimization Search

verfasst von : Holm Smidt, Matsu Thornton, Reza Ghorbani

Erschienen in: Applications of Evolutionary Computation

Verlag: Springer International Publishing

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Abstract

The evolution of the modern power grid has evident challenges as increasing renewable distributed energy resources are outpacing grid adaptation. With increasing availability and access to real-time sensors and actuators for equipment, distributed control and optimization mechanisms are coming within technical and economic reach. Applying these now feasible mechanisms to known and existing technologies in-place brings rise to new opportunities for the integration of distributed energy resources. This work demonstrated the use of evolutionary computation in finding optimal control parameters of refrigeration systems whose dynamics are unknown and difficult to estimate. By networking evolutionary processes through administrative layers in the form of cyber-physical graph database models, controllers can be deployed at scale and then configured through genetic search algorithms and network interfaces. The premise and direction of this work focuses on leveraging relational information inferred from the graph database to improve the efficiency of the evolutionary process.

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Metadaten
Titel
Network Coordinated Evolution: Modeling and Control of Distributed Systems Through On-line Genetic PID-Control Optimization Search
verfasst von
Holm Smidt
Matsu Thornton
Reza Ghorbani
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-77538-8_19