基于聚合分布式光伏的主动快速功率-频率调节在新型电力系统中的应用

The large-scale integration of distributed photovoltaics (PVs) in the new power system increases the proportion of dispatchable resources, enabling their participation in fast power-frequency regulation (FPFR) of the system. However, the large number and wide distribution of distributed PVs limit their ability to directly participate in regulation. To address this issue, this paper proposes a hierarchical fast power-frequency regulation method based on aggregated distributed PVs. Firstly, to tackle the aggregation difficulty posed by the diverse locations, capacities, and adjustment capabilities of distributed PVs, a clustering-based aggregation method for distributed PVs is proposed, which utilizes the multi-dimensional characteristics of distributed PVs to precisely quantify the node relationships and then optimize the modularity function, thereby achieving the accurate aggregation of distributed PVs. Secondly, to mitigate the impact of power fluctuations and nonlinearity in aggregated distributed PVs on their participation in second-timescale FPFR, a combined prediction method is proposed, which integrates the strengths of both Autoregressive Integrated Moving Average (ARIMA) model and grey system model to enable faster and more accurate power prediction of the aggregated distributed PVs in the next few seconds. Furthermore, considering the effect of information and electricity flow among aggregations, a consensus-based power allocation strategy is designed from a cyber-physical fusion perspective. This strategy dynamically adjusts communication paths to mitigate the impact of communication delays while simultaneously minimizing the line power losses among aggregations. Finally, simulation results validate the effectiveness of the proposed method.