Abstract
This paper focuses on power distribution networks featuring distributed energy resources (DERs), and develops controllers that drive the DER output powers to solutions of time-varying AC optimal power flow (OPF) problems. The design of the controllers is grounded on primal-dual-type methods for regularized Lagrangian functions, as well as linear approximations of the AC power-flow equations. Convergence and OPF-solution-tracking capabilities are established while acknowledging: i) communication-packet losses, and ii) partial updates of control signals. The latter case is particularly relevant since it enables an asynchronous operation of the controllers where the DER setpoints are updated at a fast time scale based on local voltage measurements, and information on the network state is utilized if and when available, based on communication constraints. As an application, the paper considers distribution systems with a high penetration level of photovoltaic systems, and demonstrates that the proposed framework provides fast voltage-regulation capabilities, while enabling the near real-time pursuit of AC OPF solutions.
Original language | English (US) |
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Title of host publication | 2016 IEEE 55th Conference on Decision and Control, CDC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 7489-7495 |
Number of pages | 7 |
ISBN (Electronic) | 9781509018376 |
DOIs | |
State | Published - Dec 27 2016 |
Externally published | Yes |
Event | 55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: Dec 12 2016 → Dec 14 2016 |
Publication series
Name | 2016 IEEE 55th Conference on Decision and Control, CDC 2016 |
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Other
Other | 55th IEEE Conference on Decision and Control, CDC 2016 |
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Country/Territory | United States |
City | Las Vegas |
Period | 12/12/16 → 12/14/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.