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Published on: September 8, 2023
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Consensus-based distribution of power packets and decentralized control for routing.
Seongcheol Baek1, Hiroyasu Ando2, Takashi Hikihara1
1Department of Electrical Engineering, Kyoto University, Katsura, Nishikyo, Kyoto 615-8510, Japan.
Chaos (Woodbury, N.Y.)
|April 3, 2020
Summary
This study explores power packet distribution networks, demonstrating that decentralized router control enables unbiased power flow. The proposed algorithm offers a foundation for advanced power management systems.
Area of Science:
- Electrical Engineering
- Computer Science
- Network Science
Background:
- Advanced power distribution systems require high controllability for energy and failure management.
- Power packet transmission in these networks relies on router switching operations and exhibits consensus-like dynamics.
- Understanding consensus dynamics on switching topologies is crucial for effective power flow control.
Purpose of the Study:
- To investigate consensus dynamics on switching topologies in power packet distribution networks.
- To develop and evaluate decentralized control strategies for routing power flows.
- To propose a fundamental, extensible algorithm for power packet transmission.
Main Methods:
- Dynamical modeling of power packet distribution networks.
- Emulation of network dynamics using decentralized router control.
- Simulations on a ring-structure network to analyze power distribution behavior.
Main Results:
- Decentralized control successfully achieves unbiased power distribution in simulations.
- Biased power distribution scenarios resulted in two distinct behavioral fragments, deviating from the expected dynamical solution.
- The proposed decentralized algorithm utilizes fundamental packet transmission functions.
Conclusions:
- Decentralized control is a feasible approach for achieving unbiased power distribution in advanced networks.
- The proposed algorithm provides a basic yet extendable framework for power packet transmission and control.
- Further research can explore redesigning and extending the algorithm for diverse applications in power management.
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