Abstract | ||
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The centralized power generation infrastructure that defines the North American electric grid is slowly moving to the distributed architecture due to the explosion in use of renewable generation and distributed energy resources (DERs), such as residential solar, wind turbines and battery storage. Furthermore, variable pricing policies and profusion of flexible loads entail frequent and severe changes in power outputs required from the individual generation units, requiring fast availability of power allocation. To this end, a fixed-time convergent, fully distributed economic dispatch algorithm for scheduling optimal power generation among a set of DERs is proposed. The proposed algorithm incorporates both load balance and generation capacity constraints. |
Year | DOI | Venue |
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2021 | 10.1109/LCSYS.2020.3020248 | IEEE Control Systems Letters |
Keywords | DocType | Volume |
Distributed algorithms,nonlinear control systems,optimization,power generation dispatch | Journal | 5 |
Issue | ISSN | Citations |
4 | 2475-1456 | 1 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mayank Baranwal | 1 | 8 | 6.68 |
Kunal Garg | 2 | 5 | 3.46 |
Dimitra Panagou | 3 | 158 | 29.89 |
Alfred O. Hero III | 4 | 2600 | 301.12 |