服 务 大 型 粮 食 基 地 生 产 保 供 的 农 场 配 电 网 优 化 调 度 策 略

With the advancement of the strategy of China’s rural revitalisation and the promotion of the construction of high-standard farmland, the demand for electricity consumption of large-scale farms in various agricultural reclamation areas has been growing rapidly. The centralised and uncontrolled electricity consumption of massive irrigation facilities has caused the problems of severe transmission congestion and voltage dropping. Firstly, this paper derives a mathematical propagation chain model that describes the correlation relationship among irrigation electricity consumption, soil moisture, and crop yield. With the goal of minimizing comprehensive electricity consumption costs and crop yield reduction, this paper proposes an optimal scheduling model for farm distribution networks that takes into account large-scale irrigation load production security, and comprehensively considering the operation security constraints of distribution network and agricultural production. Then, in response to the unique multi-dimensional uncertainties in the operating environment of farm distribution networks, such as precipitation, this paper designs a method for constructing typical farm distribution network scenarios based on affinity propagation clustering. Furthermore, this paper proposes a stochastic optimal scheduling strategy for farm distribution networks in supporting power supply for large-scale crop bases, considering multiple random factors. Finally, the effectiveness of the proposed strategy is verified by case study.