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Optimal Configuration of Energy Storage System via MPC considering High Density Photovoltaics

机译：考虑高密度光伏的MPC储能系统的最佳配置

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摘要

In order to suppress the fluctuation of high density photovoltaic (PV) system, enhance the acceptance capability of the distribution network for PV power generation, and improve the utilization of solar energy, a side energy storage system with high density PV power distribution network will be built to coordinate and optimize the control, which can obtain better economic benefits and system stability. Also, an optimal allocation method based on model predictive control (MPC) is proposed. The method is aimed at energy storage system in distribution network with high density photovoltaics (HDPV). Considering the uncertainty of PV power generation and load demand, energy storage systems can obtain the lowest cost in the whole life cycle. The validity and superiority of the optimal allocation model are verified by the analysis of typical daily dispatch optimization in different seasons and the comparison with energy-storage-free system.
机译：为了抑制高密度光伏（PV）系统的波动，增强配电网对光伏发电的接受能力并提高太阳能的利用率，将采用具有高密度光伏配电网的侧储能系统。建立协调和优化控制，可以获得更好的经济效益和系统稳定性。此外，提出了一种基于模型预测控制（MPC）的最优分配方法。该方法针对具有高密度光伏（HDPV）的配电网中的能量存储系统。考虑到光伏发电和负载需求的不确定性，储能系统可以在整个生命周期中获得最低的成本。通过分析不同季节典型的日常调度优化，并与无储能系统进行比较，验证了最优分配模型的有效性和优越性。

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