Optimal operation strategy for distribution network with high-penetration distributed PV based on soft open point and multi-device collaboration

Abstract

The large-scale integration of distributed photovoltaic (DPV) into distribution networks (DNs) causes voltage fluctuations and increased system losses. To address this issue, this paper proposes an optimal operation strategy for DN with high-penetration DPV based on soft open point (SOP) and multi-device collaboration. First, an accurate day-ahead/intra-day PV power prediction model is constructed. In the day-ahead stage, the optimal sequences of on-load tap changer (OLTC), tie switches (TS) and energy storage system (ESS) are determined, with the objective of minimizing active power losses and PV power curtailment. In the intra-day rolling stage, based on the day-ahead optimization, model predictive control (MPC) method is employed to perform rolling optimization of the operating state of SOPs. In the real-time correction stage, power flow calculation is conducted in response to the actual PV output, refining the optimization results to ensure precision and reliability. Case study demonstrates the proposed strategy alleviates voltage fluctuations, lowers losses, and improves the PV consumption capacity of the DN. Furthermore, in more complex large-scale distribution systems, flexible interconnected SOP can significantly reduce system losses, with the optimization effect improving as PV generation increases.