Fast distributed gradient descent method for economic dispatch of microgrids via upper bounds of second derivatives
Distributed optimization algorithms, such as alternating direction method of multipliers (ADMM) and distributed gradient descent method (DGDM), can no longer meet the needs of the application in the large system due to their slow convergence rates. In this paper, based on the upper bounds of second...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722015530 |