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)|
|Title of host publication||2020 American Control Conference, ACC 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||7|
|State||Published - Jul 2020|
|Event||2020 American Control Conference, ACC 2020 - Denver, United States|
Duration: Jul 1 2020 → Jul 3 2020
|Name||Proceedings of the American Control Conference|
|Conference||2020 American Control Conference, ACC 2020|
|Period||7/1/20 → 7/3/20|
Bibliographical noteFunding Information:
P. Chakraborty and M. Parvania are with the Department of Electrical and Computer Engineering, The University of Utah. S. V. Dhople is with the Department of Electrical and Computer Engineering, University of Minnesota. Y. C. Chen is with the Department of Electrical and Computer Engineering, The University of British Columbia. Funding support from the National Science Foundation, through grant NSF-ECCS-1453921, Office of Naval Research, through grant N000141812395, and Natural Sciences and Engineering Research Council of Canada (NSERC), through grant RGPIN-2016-04271 is acknowledged.