Study on the coordinated operation method of source network load storage in power system considering carbon constraint

Dongge Zhu; Jiangbo Sha; Wenni Kang; Rui Ma; Xiaofeng Xu

doi:10.1117/12.3034356

16 October 2024 Study on the coordinated operation method of source network load storage in power system considering carbon constraint

Dongge Zhu, Jiangbo Sha, Wenni Kang, Rui Ma, Xiaofeng Xu

Author Affiliations +

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132912N (2024) https://doi.org/10.1117/12.3034356
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

With the transformation of energy structure and large-scale access to renewable energy sources, the operation of the power system is facing more and more challenges. In the context of achieving the goals of carbon peaking and carbon neutrality, this paper uses linear regression method to forecast the power demand and new energy generation, uses linear programming method to establish the model of power generation system considering low carbon, and at the same time constructs the combination method of transmission channels of the whole network, optimizes the grid scheduling, and builds the multivariate energy storage system, to study the method of coordinated operation of the power system with source, network, and load/storage in the power system considering the carbon constraints. Based on the research method in this paper, the overall operation scheme of power system source-grid-load-storage coordination in compliance with carbon constraints can be realized in the target provinces and target power grids.

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

Citation Download Citation

Dongge Zhu, Jiangbo Sha, Wenni Kang, Rui Ma, and Xiaofeng Xu "Study on the coordinated operation method of source network load storage in power system considering carbon constraint", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132912N (16 October 2024); https://doi.org/10.1117/12.3034356

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