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Annual Review of Control, Robotics, and Autonomous Systems

Volume 5, 2022

Stability and Control of Power Grids

Abstract

Power grids are critical infrastructure in modern society, and there are well-established theories for the stability and control of traditional power grids under a centralized paradigm. Driven by environmental and sustainability concerns, power grids are undergoing an unprecedented transition, with much more flexibility as well as uncertainty brought by the growing penetration of renewable energy and power electronic devices. A new paradigm for stability and control is under development that uses graph-based, data-based, and distributed analysis tools. This article surveys classic and novel results on the stability and control of power grids to provide a perspective on this both old and new subject.

Keyword(s): deep learning, distributed control, machine learning, network systems, power grids, stability
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/content/journals/10.1146/annurev-control-042820-011148
2022-05-03
2024-05-05
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/content/journals/10.1146/annurev-control-042820-011148
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Stability and Control of Power Grids
Annual Review of Control, Robotics, and Autonomous Systems 5, 689 (2022); https://doi.org/10.1146/annurev-control-042820-011148
/content/journals/10.1146/annurev-control-042820-011148
/content/journals/10.1146/annurev-control-042820-011148
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