Double-layer stochastic model predictive voltage control in active distribution networks with high penetration of renewables

The high penetration of renewable energy into distribution networks poses increasing challenges on voltage control. To address this issue, paper presents a double-layer stochastic model predictive control algorithm to regulate profile in active networks. In the proposed algorithm, regulation is achieved by coordination an upper layer controller and lower controller. layer, number operation mechanical devices, including transformer with on-load tap changer capacitor banks, minimized hourly timescale. minimizes power curtailments losses period 5 min. utilizes not only reactive control, but also curtailment bus voltages. addition, devices distributed generations are controlled two different timescales. Case studies modified IEEE-33 system demonstrate that compared traditional two-stage can achieve improvement 8.05% 7.43%, respectively.