Fast identification method of redundant constraints based on variable load

Yinguo Yang; Qiuyu Lu; Xu Lin; Pingping Xie; Yang Liu

doi:10.1117/12.3015963

6 February 2024 Fast identification method of redundant constraints based on variable load

Yinguo Yang, Qiuyu Lu, Xu Lin, Pingping Xie, Yang Liu

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129795Y (2024) https://doi.org/10.1117/12.3015963
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

In the clearing process of the provincial/regional electricity spot market, large-scale zero to one decision variables and complex constraints greatly affect the computational efficiency of solving unit commitment problems. However, among all constraints considered in security-constrained unit commitment, some redundant ones are not effective. If these constraints are identified and removed from the optimization model, the calculation efficiency can be greatly improved without changing the optimal solution of the original problem. Therefore, firstly, the general idea of rapid identification of redundant constraints based on variable load is proposed. Secondly, on the basis of the traditional security-constrained unit commitment model of the electricity spot market, a mathematical model of redundancy constraint identification is proposed, and the specific processing method of redundancy constraint identification is proposed as well. Finally, the correctness and effectiveness of the proposed method are verified by an example.

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

Citation Download Citation

Yinguo Yang, Qiuyu Lu, Xu Lin, Pingping Xie, and Yang Liu "Fast identification method of redundant constraints based on variable load", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129795Y (6 February 2024); https://doi.org/10.1117/12.3015963

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