Power grid integrated energy dispatching optimization method based on multivariate big data

Song Yan; Jianqiang Dong

doi:10.1117/12.2673080

25 April 2023 Power grid integrated energy dispatching optimization method based on multivariate big data

Song Yan, Jianqiang Dong

Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 1259817 (2023) https://doi.org/10.1117/12.2673080
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China

Abstract

In view of the high cost of integrated energy dispatching in the power grid, which affects the economic benefits of power enterprises, an optimization method of integrated energy dispatching in the power grid based on multivariate big data is designed. The method comprises the following steps of: firstly, extract integrated data characteristics of power grid dispatching, and integrate power grid energy dispatching data; secondly, process the power grid energy dispatching data by using multiple big data, and reduce a dispatching convergence error; and finally, construct a power grid integrated energy dispatching optimization model, improve the net profit of power grid dispatching, and further realize the optimal dispatching of the demand of a supply side and a demand side of a power grid. By the way of comparative experiments, it is verified that the net profit of this method is higher. The economic benefit is higher, and it can be applied to real life.

Citation Download Citation

Song Yan and Jianqiang Dong "Power grid integrated energy dispatching optimization method based on multivariate big data", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 1259817 (25 April 2023); https://doi.org/10.1117/12.2673080

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