Optimal planning algorithm for hierarchical zoning of microgrids under cooperative dispatch of multiple energy storage devices

Bin Zhang; Zongchuan Zhou; Yiming Han; Junxian Ma

doi:10.1117/12.3005790

10 October 2023 Optimal planning algorithm for hierarchical zoning of microgrids under cooperative dispatch of multiple energy storage devices

Bin Zhang, Zongchuan Zhou, Yiming Han, Junxian Ma

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127993Y (2023) https://doi.org/10.1117/12.3005790
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The synergy with energy storage devices in the current microgrid hierarchical zoning optimization planning is low, resulting in poor quality optimization planning results. To this end, a microgrid hierarchical zoning optimisation planning algorithm with collaborative scheduling of multiple energy storage devices is proposed. Analysis of weak levels and regions. Distributed arrangement of energy storage devices in the microgrid. Dynamic control of energy storage device parameters and hierarchical partitioning of multiple energy storage devices for collaborative scheduling. Generation of a microgrid hierarchical partitioned optimal planning algorithm. The experiments show that the average index entropy value of the algorithm is 0.4857, which can effectively improve the quality of the microgrid hierarchical zoning optimization planning results and has high practical value.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bin Zhang, Zongchuan Zhou, Yiming Han, and Junxian Ma "Optimal planning algorithm for hierarchical zoning of microgrids under cooperative dispatch of multiple energy storage devices", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127993Y (10 October 2023); https://doi.org/10.1117/12.3005790

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