Affiliation:
1. Automatic Control Laboratory, ETH Zurich, Zurich, Switzerland;
2. Department of Electrical and Computer Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA;
Abstract
Electric power systems are undergoing an unprecedented transition from fossil fuel–based power plants to low-inertia systems that rely predominantly on power electronics and renewable energy resources. This article reviews the resulting control challenges and modeling fallacies, at both the device and system level, and focuses on novel aspects or classical concepts that need to be revised in light of the transition to low-inertia systems. To this end, we survey the literature on modeling of low-inertia systems, review research on the control of grid-connected power converters, and discuss the frequency dynamics of low-inertia systems. Moreover, we discuss system-level services from a control perspective. Overall, we conclude that the system-theoretic mindset is essential to bridge different research communities and understand the complex interactions of power electronics, electric machines, and their controls in large-scale low-inertia power systems.
Subject
Artificial Intelligence,Human-Computer Interaction,Engineering (miscellaneous),Control and Systems Engineering
Cited by
19 articles.
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