Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Chang Liu; Xiu Ji; Dexin Li; Jiajun Zhang; Yang Bai

doi:10.1117/12.3024467

13 May 2024 Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Chang Liu, Xiu Ji, Dexin Li, Jiajun Zhang, Yang Bai

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315912 (2024) https://doi.org/10.1117/12.3024467
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

This paper establishes a three-layer centralized control architecture for transmission grid, distribution grid and local equipment and a multi-layer coordinated distributed control architecture for distribution system; exploring the "source-network-load-storage" comprehensive coordination and interaction mechanism of power distribution system; researching on the operation of equipment at the source, network, load and storage ends of the distribution network, and construct a coordinated centralized optimization model of "source-network-load-storage" and a zoned distributed optimization model based on the data-driven distribution robustness method, the CCG algorithm and ADMM algorithm are used to solve the problem effectively, and the method of this paper can realize the improvement of "source-network-load-storage" regulation ability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chang Liu, Xiu Ji, Dexin Li, Jiajun Zhang, and Yang Bai "Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315912 (13 May 2024); https://doi.org/10.1117/12.3024467

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