Model Predictive Control of LPC-Looped Active Distribution Network With High Penetration of Distributed Generation

Loop power flow controller (LPC) enables closed-loop operations of active distribution network at medium-voltage level to maximize network utilization and to mitigate power variations under high penetration of distributed generation. The operation strategy of LPC plays a key role to enhance the security and efficiency of LPC-looped active distribution network (LPC-ADN). This paper develops a comprehensive model predictive control (MPC) model for LPC-ADN to timely respond to operation statuses and output variations of distributed generations under security constraints over multiple operation periods. Multiterminal LPCs are innovatively applied to active distribution network in this study. An improved double description approximation method is proposed to transform nonconvexity security constraints of LPC-ADN into a set of linear constraints. Network regulations, such as tap changing, are appropriately integrated into the comprehensive model and coordinated with LPC actions to balance loads of feeder lines with distributed generations. Two test systems with 32 and 123 nodes are used to verify the accuracy and effectiveness of the proposed MPC model of LPC-ADN.