County power balance method based on wind and water storage and charging

Baosheng Chen; Weiqi Zhang; Zhao Yang; Yanxia Ma; Mengyuan Tang

doi:10.1117/12.2692469

23 August 2023 County power balance method based on wind and water storage and charging

Baosheng Chen, Weiqi Zhang, Zhao Yang, Yanxia Ma, Mengyuan Tang

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842G (2023) https://doi.org/10.1117/12.2692469
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Under the requirements of the construction of new power systems and the constraints of dual carbon targets, the proportion of new energy and new loads in the power system continues to increase. Compared with traditional power sources, new energy power sources have higher uncertainty and are less affected by natural conditions. large and greater fluctuations, which have impacted the stability of the power system. In order to cope with the challenges brought by new energy and new power loads to the grid power balance, a county-level power balance method based on wind, water, storage and charging is proposed, and an annual power balance model is constructed. In terms of model evaluation, based on the key performance indicator analysis method, a power balance evaluation index system with adequacy, orderliness of power supply, energy conservation and environmental protection, and economy as key indicators was constructed. The AHP-entropy weight combination method combining subjectivity and objectivity is used as the calculation method of the evaluation index weight, and the power balance scheme is comprehensively evaluated based on the approaching ideal point sorting method.

Citation Download Citation

Baosheng Chen, Weiqi Zhang, Zhao Yang, Yanxia Ma, and Mengyuan Tang "County power balance method based on wind and water storage and charging", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842G (23 August 2023); https://doi.org/10.1117/12.2692469

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