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Research on Energy Control Algorithm of Optical Storage Power Station

Yingmin Yan

Abstract


Aiming at the problems of power fluctuation suppression and economic operation in the energy management of optical storage
power station, a multi time scale coordinated control framework is constructed in this paper. At the system architecture level, the coupling
characteristics and energy flow mechanisms of photovoltaic - energy storage - grid integration were analyzed. At the control strategy level,
a hierarchical optimization algorithm at day ahead - intra day - second levels has been proposed, a full cycle cost model considering energy
storage life loss is established, and a real-time power allocation method based on model predictive control and a high-frequency fluctuation
suppression strategy based on filtering theory are designed. At the level of energy storage management, the optimization algorithm of charge
and discharge depth and the coordinated control scheme under safety constraints are developed. The simulation results show that the proposed
algorithm can effectively suppress the fluctuation of photovoltaic output, improve the quality of grid connected power and reduce the operation cost of the system.

Keywords


Optical storage power station; Energy management; Multi time scale control; Model predictive control

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References


[1] Xiao Xiangqi, Zou Sheng, He Xing, et al. Output power optimization of optical storage system based on fuzzy control algorithm [J].

Electric Power, 2025, 58 (6): 67-75.

[2] Cao Yaqi, Zhao Bo, Wang Lijie, et al. Research on the strategy of improving the operation efficiency of light storage power station based

on genetic ant colony [J]. Electric Power, 2022, 55 (2): 9-18.

[3] Hou Shunxiang, Zhang Xueyu. Multi objective energy coordination control strategy for low carbon building light storage direct flexible

power supply system [J]. Science and Technology & Innovation, 2025 (1): 15-18+24.




DOI: http://dx.doi.org/10.70711/aitr.v3i6.8595

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