Research on variable time scheduling of power supply load in hybrid power grid considering wind-solar correlation

Xiaoguang Wang; Huisong Li

doi:10.1117/12.3025001

13 May 2024 Research on variable time scheduling of power supply load in hybrid power grid considering wind-solar correlation

Xiaoguang Wang, Huisong Li

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131592C (2024) https://doi.org/10.1117/12.3025001
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

At present, the constraint structure of variable-time scheduling of power supply load in hybrid power grid is mostly set as one-way structure, and the efficiency of scheduling is low, which leads to the increase of the average error percentage. Therefore, the research on variable-time scheduling of power supply load in hybrid power grid considering wind-solar correlation is put forward. Firstly, the basic data of power grid load variable-time scheduling is preprocessed, and the multi-level mode is adopted to improve the efficiency of scheduling, and the multi-level scheduling constraints are set. Based on this, the power grid power supply load variable-time scheduling model under wind-solar correlation is constructed, and the normal distribution correction processing is adopted to realize variable-time scheduling. The test results show that, for the selected six test cycles, the average error percentage of the load variable-time scheduling task of the hybrid power grid is well controlled below 1.1, which shows that the designed scheduling method is more flexible and stable, and the scheduling effect is better, which has practical application value.

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

Citation Download Citation

Xiaoguang Wang and Huisong Li "Research on variable time scheduling of power supply load in hybrid power grid considering wind-solar correlation", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131592C (13 May 2024); https://doi.org/10.1117/12.3025001

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