期刊
IFAC PAPERSONLINE
卷 55, 期 13, 页码 282-287出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2022.07.273
关键词
Energy management; inverters; (non)linear optimization; optimal control
资金
- US Department of Energy (DOE) [DE-AC36-08GO28308]
- DOE Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) through the UNIFI Consortium and Agreement [EE0009025]
- National Science Foundation [1444745, 1901134, 2126052]
- UMN's MnDRIVE program
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [2126052] Funding Source: National Science Foundation
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [1901134] Funding Source: National Science Foundation
This paper outlines the energy-management problems for inverter-based power networks from the perspective of optimal control and (non)linear optimization. It categorizes the problems based on timescales and organizes them methodologically according to complexity. The paper establishes dynamic models, uncovers common assumptions, and postulates open challenges in this field.
This paper outlines a suite of energy-management problems for inverter-based power networks from the vantage point of optimal control and (non)linear optimization. The problems are categorized based on timescales dictated by the network dynamics, and organized methodologically based on the problem complexity. A growing body of literature has addressed problems in this domain, albeit, with poorly motivated assumptions and behavioral models that obscure precise device behavior. With a combination of circuit- and control-theoretic lenses, we establish appropriate dynamic models for the networked resources, illustrate how common engineering assumptions arise, uncover how problems are linked, and postulate open challenges. Copyright (C) 2022 The Authors.
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