This paper outlines a continuous-time economic dispatch (CTED) problem that intrinsically embeds dynamic constraints arising from the electromechanical behavior of synchronous generators and enables near-to-real-time optimal scheduling of generation. In its original form, the CTED problem is infinite-dimensional, however, we present a linear-programming reformulation that offers computational burden comparable to traditional economic dispatch. The resulting optimal dispatch trajectories are continuously differentiable and induce only small-signal variations in automatic generation control signals. In addition to yielding better system frequency response, this improves economic efficiency since the dispatch cost is better aligned with the actual cost of operating the system. We demonstrate the economic advantages and dynamic-performance improvements of the proposed method with time-domain simulations for a detailed differential algebraic equation model of an illustrative power network.
|Original language||English (US)|
|Title of host publication||Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020|
|Editors||Tung X. Bui|
|Publisher||IEEE Computer Society|
|Number of pages||10|
|State||Published - 2020|
|Event||53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Maui, United States|
Duration: Jan 7 2020 → Jan 10 2020
|Name||Proceedings of the Annual Hawaii International Conference on System Sciences|
|Conference||53rd Annual Hawaii International Conference on System Sciences, HICSS 2020|
|Period||1/7/20 → 1/10/20|
Bibliographical noteFunding Information:
This work was supported in parts by the National Science Foundation through grant 1453921, the Advanced Research Projects Agency-Energy under the Network Optimized Distributed Energy Systems program, and the Office of Naval Research through grant N000141812395.
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