Online Feedback Droop Scheduling in Distribution Grids for Frequency and Local Voltage Control

TL;DR

This paper introduces an adaptive online droop control framework for distributed energy resources in distribution networks, enhancing frequency support and voltage regulation with stability guarantees and scalability demonstrated through simulations.

Contribution

It unifies local voltage and frequency droop controls into a transfer matrix and adaptively tunes these matrices in real-time using an online primal-dual gradient method.

Findings

Validated on IEEE 37-bus system showing improved control performance.

Demonstrated scalability and robustness in a 533-bus Swedish distribution network.

Achieved primary frequency support and voltage regulation simultaneously.

Abstract

This paper presents a novel framework for collective control of Distributed Energy Resources (DERs) in active Distribution Networks (DNs). The proposed approach unifies the commonly employed local (i.e., decentralized) voltage and frequency droop control schemes into a transfer matrix relating frequency and voltage magnitude measurements to active and reactive power injection adjustments. Furthermore, the transfer matrices of individual DER units are adaptively tuned in real-time via slow communication links using a novel online gain scheduling approach to enable primary frequency support provision to the transmission system and ensure that the DN voltages are kept within the allowable limits. A global asymptomatic stability condition of the analyzed droop-controlled DN is analytically established. The considered gain scheduling problem is solved by leveraging an online primal-dual gradient-based method and a suitable linearized power flow model. Additional ancillary service providers can be trivially incorporated into the proposed framework in a plug-and-play fashion. Numerical simulations of the 37-bus IEEE test system and a realistic Swedish 533-bus DN confirm the validity and the scalability of the approach and demonstrate numerous advantages of the proposed scheme over the state-of-the-art.