Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm
In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids bas...
Saved in:
| Main Authors: | Yu Gao, Yong Zhang, Zaibao Xiong, Penglin Zhang, Qin Zhang, Wenxu Jiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2385330 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm
by: Yuntao Yue, et al.
Published: (2025-01-01) -
Environmental Impact Minimization Model for Storage Yard of In-Situ Produced PC Components: Comparison of Dung Beetle Algorithm and Improved Dung Beetle Algorithm
by: Jeeyoung Lim, et al.
Published: (2024-11-01) -
An Improved Dung Beetle Optimizer for the Twin Stacker Cranes’ Scheduling Problem
by: Yidong Chen, et al.
Published: (2024-11-01) -
The non-indigenous dung beetle (Onthophagus nuchicornis) can effectively reproduce using the dung of indigenous eastern North American mammals
by: Alexe Indigo, et al.
Published: (2025-01-01) -
Transformer Fault Diagnosis Based on Multi-Strategy Enhanced Dung Beetle Algorithm and Optimized SVM
by: Shuming Zhang, et al.
Published: (2024-12-01)