Abstract
This paper introduces a novel distributed fixed-time algorithm that employs an event-triggered strategy to solve the economic dispatch problem within the framework of smart grids. Distinguishing from existing fixed-time and finite-time algorithms of distributed economic dispatch applied to undirected graphs, the proposed distributed optimization algorithm in this paper has been proven effective for directed graphs. The proposed algorithm ensures the continual satisfaction of the supply and demand balance constraints. Additionally, the incorporation of the event-triggered strategy not only conserves actuator updates but also avoids Zeno behavior. Finally, simulation cases verify the effectiveness of the proposed algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 1614-1624 |
| Number of pages | 11 |
| Journal | Asian Journal of Control |
| Volume | 26 |
| Issue number | 3 |
| Early online date | 14 Dec 2023 |
| DOIs | |
| Publication status | Published - May 2024 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.
Funding
National Key Research and Development Program of China under Grant No. 2022YFA1004702, in part by the National Natural Science Foundation of China under Grant 62106042, in part by the Natural Science Foundation of Jiangsu Province of China under Grant BK20210211 and Grant BK20222003, and in part by the Fundamental Research Funds for the Central Universities. Funding Information
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- directed graphs
- economic dispatch
- event-triggered strategy
- fixed-time convergence
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