Energy Storage Capacity Optimization Model Considering Transferable Load Characteristics of Rural Distribution Network

The high-proportion integration of household photovoltaic systems into rural distribution networks of power supply areas has brought about issues such as low photovoltaic absorption rate, source-load imbalance, and voltage over-limit. To cope with these problems, a storage capacity configuration model considering the transferable load characteristics of rural distribution network areas is proposed. Firstly, on the demand side, cluster analysis is conducted on the transferable load in rural areas. Then, based on the load curve obtained from the previous optimization step, aiming at maximizing the photovoltaic absorption rate of the distribution network in the power supply area, an optimization model for energy storage capacity is established. Finally, the particle swarm optimization algorithm is adopted to solve the model. The results show that this model has suppressed the power fluctuations of the power grid and reduced the capacity required for the energy storage equipment.