Research on optimal operation and dispatch strategy of high proportion new energy generation

Wenjie Han; Xiaojuan Lu

doi:10.1117/12.2626529

21 December 2021 Research on optimal operation and dispatch strategy of high proportion new energy generation

Wenjie Han, Xiaojuan Lu

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121560Q (2021) https://doi.org/10.1117/12.2626529
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

Wind power and photovoltaic output are random, intermittent and volatile. When it is connected to the power grid on a large scale, it will have an impact on the power generation planning and dispatching of the power grid. This paper proposes a wind power-photovoltaic-photothermal combined power generation grid-connected optimal dispatch strategy. With the unique flexible energy storage function of CSP station, the fluctuation of wind power is stabilized, and the combined output of wind power, photovoltaic and solar power is stabilized. In order to improve the economic benefits of the grid-connected wind power-photovoltaic-thermal system, a wind power-photovoltaic-photovoltaic combined power generation dispatch model based on two-stage optimization was established. In the first stage, when the economic benefits of grid connection are optimal, the equivalent load peak-valley difference is reduced, the load curve of the system in the dispatch cycle is optimized, and load data is provided for the next stage. The second phase is to join the thermal power unit, aiming to achieve the lowest total power generation cost of the system. Intelligent algorithm is used to solve it, and the correctness and effectiveness of the proposed scheduling strategy are verified by simulation examples.

Citation Download Citation

Wenjie Han and Xiaojuan Lu "Research on optimal operation and dispatch strategy of high proportion new energy generation", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121560Q (21 December 2021); https://doi.org/10.1117/12.2626529

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