Frontiers in Energy Research (Mar 2023)
Consensus control for distributed power tracking by device-level digital twin agents
Abstract
Abstract: The development of electronics and software has resulted in the ability of twin agents to act as digital counterparts for the optimization, control, and monitoring of real power grids. When increasing regulation resources are connected to the power grid, is challenging for independent system operators to use a centralized controller to achieve power tracking and balance. Therefore, the present study applied device-level-based digital twins to monitor physical signals for computer-aided design for power tracking. Moreover, a consensus control-based distributed power tracking system is proposed for the physical-model simulation of the power grid. A communication network was also designed for realistic signal exchange. The combination of the proposed distributed power tracking method and communication network can accelerate computational efficiency and protect the privacy of the regulation resources. Finally, the performance of the proposed distributed power tracking method is validated in a simulation system with 10 regulation resources.
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