Paper
6 February 2024 Hybrid simulation analysis of grid-friendly scenic storage station based on RT-LAB
Liqiang Wang, Qi Wang, Yu Cong
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796Q (2024) https://doi.org/10.1117/12.3015283
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
New energy generation has intermittent and unstable characteristics, and large-scale grid-connected operation will bring many problems to the stable operation of the grid and load deployment. Energy storage can smooth the output power of new energy generation, provide fast active support, enhance the grid frequency regulation capability, and improve the "friendliness" of new energy to the grid. The article proposes a hybrid simulation method for wind and storage co-generation system and introduces the basic architecture and simulation model of the system. Based on the actual scenery storage field station, combined with the actual control system of the field station, a hybrid simulation platform of scenery storage co- generation is established, and the simulation verification of primary frequency regulation and virtual inertia function of the scenery storage field station is carried out. The simulation results show that the participation of energy storage in scenery co-generation can effectively improve system stability and frequency modulation inertia response capability, significantly suppress frequency fluctuations, and the hybrid simulation method can effectively verify the effectiveness and correctness of the strategy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Liqiang Wang, Qi Wang, and Yu Cong "Hybrid simulation analysis of grid-friendly scenic storage station based on RT-LAB", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796Q (6 February 2024); https://doi.org/10.1117/12.3015283
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KEYWORDS
Solar energy

Device simulation

Wind energy

Computer simulations

Frequency response

Power grids

Photovoltaics

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