Centralized-local PV voltage control considering opportunity constraint of short-term fluctuation

Abstract

This study proposes a two-stage photovoltaic (PV) voltage control strategy for centralized control that ignores short-term load fluctuations. In the first stage, a deterministic power flow model optimizes the 15-minute active cycle of the inverter and reactive outputs to reduce network loss and light rejection. In the second stage, the local control stabilizes the fluctuations and tracks the system state of the first stage. The uncertain interval model establishes a chance constraint model for the inverter voltage-reactive power local control. Second-order cone optimization and sensitivity theories were employed to solve the models. The effectiveness of the model was confirmed using a modified IEEE 33 bus example. The intraday control outcome for distributed power generation considering the effects of fluctuation uncertainty, PV penetration rate, and inverter capacity is analysed.

Keywords

• ADN
• Inverter control
• Short-term volatility
• Chance constraint optimization
• Centralized-local control