Combination solution of medium and long-time segment units based on model dimensionality reduction strategy combination

Bo Li; Xin Li; Yan Liu; Yuhang Zhang; Dunnan Liu; Jiahao Liang

doi:10.1117/12.2673025

25 April 2023 Combination solution of medium and long-time segment units based on model dimensionality reduction strategy combination

Bo Li, Xin Li, Yan Liu, Yuhang Zhang, Dunnan Liu, Jiahao Liang

Author Affiliations +

Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 1259815 (2023) https://doi.org/10.1117/12.2673025
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China

Abstract

In order to effectively play the role of "ballast stone" of medium- and long-term electric power transaction, it is particularly important to optimize the combination of medium- and long-term electric power units. Large scale complex constraints medium- and long-term unit combination is a large-scale mixed integer programming problem in essence. In this paper, a model dimension reduction technique is proposed to solve the long-term unit combination optimization problem of large-scale power grid. The core idea of model dimension reduction is to identify invalid shaping variables and network constraints, merge adjacent time periods, reduce the feasible region, and obtain a more compact and effective optimization space. Through simple calculation before time-consuming large-scale optimization calculation, the optimization neighborhood that the optimal feasible solution may exist is determined in advance, and the optimization range of mixed integer programming is reduced. Then, efficient and mature mathematical optimization software package is called in the reduced optimization space to achieve efficient and optimal solution.

Citation Download Citation

Bo Li, Xin Li, Yan Liu, Yuhang Zhang, Dunnan Liu, and Jiahao Liang "Combination solution of medium and long-time segment units based on model dimensionality reduction strategy combination", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 1259815 (25 April 2023); https://doi.org/10.1117/12.2673025

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