Abstract
In this work, we aim to minimize the cost of generation in a power system while meeting demand in nearto real time. The proposed architecture is composed of two sub-problems: continuous-time economic dispatch (CTED) and optimal automatic generation control (OAGC). In its original form, the CTED problem incorporates generator aggregate-frequency dynamics, and it is infinite-dimensional. However, we present a computationally tractable function space-based solution method for the proposed problem. We also develop an optimization-based control algorithm for implementing OAGC. Theoretical considerations for decoupling the two problems are explored. We validate the economic efficiency and frequency performance of the proposed method through simulations of a representative power network.
| Original language | English (US) |
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| Title of host publication | 2020 American Control Conference, ACC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1292-1298 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781538682661 |
| DOIs | |
| State | Published - Jul 2020 |
| Event | 2020 American Control Conference, ACC 2020 - Denver, United States Duration: Jul 1 2020 → Jul 3 2020 |
Publication series
| Name | Proceedings of the American Control Conference |
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| Volume | 2020-July |
| ISSN (Print) | 0743-1619 |
Conference
| Conference | 2020 American Control Conference, ACC 2020 |
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| Country/Territory | United States |
| City | Denver |
| Period | 7/1/20 → 7/3/20 |
Bibliographical note
Publisher Copyright:© 2020 AACC.