Distributed learning for optimal allocation of synchronous and converter-based generation

Taouba Jouini, Zhiyong Sun

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

Motivated by the penetration of converter-based generation into the electrical grid, we revisit the classical log-linear learning algorithm for optimal allocation {of synchronous machines and converters} for mixed power generation. The objective is to assign to each generator unit a type (either synchronous machine or DC/AC converter in closed-loop with droop control), while minimizing the steady state angle deviation relative to an optimum induced by unknown optimal configuration of synchronous and DC/AC converter-based generation. Additionally, we study the robustness of the learning algorithm against a uniform drop in the line susceptances and with respect to a well-defined feasibility region describing admissible power deviations. We show guaranteed probabilistic convergence to maximizers of the perturbed potential function with feasible power flows and demonstrate our theoretical findings via simulative examples of a power network with six generation units.
Originalspråkengelska
Titel på gästpublikation29th Mediterranean Conference on Control and Automation
FörlagInstitute of Electrical and Electronics Engineers Inc.
Sidor386 - 391
Antal sidor6
ISBN (tryckt)978-166542258-1
DOI
StatusPublished - 2021
Evenemang29th Mediterranean Conference on Control and Automation (MED 2021) - Puglia, Italien
Varaktighet: 2021 jun 222021 jun 25
Konferensnummer: 29
http://ieeecss.org/event/29th-mediterranean-conference-control-and-automation

Konferens

Konferens29th Mediterranean Conference on Control and Automation (MED 2021)
Land/TerritoriumItalien
OrtPuglia
Period2021/06/222021/06/25
Internetadress

Ämnesklassifikation (UKÄ)

  • Reglerteknik

Fingeravtryck

Utforska forskningsämnen för ”Distributed learning for optimal allocation of synchronous and converter-based generation”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här