TY - JOUR
T1 - Model-Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems
JF - IEEE Transactions on Smart Grid
Y1 - 2020/01//
SP - 884
EP - 894
A1 - Michael D. Sankur
A1 - Roel Dobbe
A1 - Alexandra von Meier
A1 - Daniel B. Arnold
AB - The proliferation of voltage Phasor Measurement Units (PMUs) into electric power distribution grids presents new opportunities for utility operators to manage their systems more effectively. In particular, distribution-level PMUs can serve as proxy measurements for active and reactive power flows, thus alleviating the need for current transformer-based measurements for certain applications. In this work, we explore the use of distribution PMU measurements to optimally control line power flows without explicit measurements of these quantities and without a priori knowledge of the underlying distribution system topology. To do so, we extend a 2 dimensional Extremum Seeking (2D-ES) control paradigm to simultaneously manage Distributed Energy Resource (DER) active and reactive power contributions in unbalanced distribution systems. Simulation results show the ability of the proposed approach to virtually island different portions of a 3-phase unbalanced the network using DER injections while maintaining proper voltage magnitudes in the rest of the network.
VL - 11
IS - 1
JO - IEEE Trans. Smart Grid
ER -
TY - JOUR
T1 - Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning
JF - IEEE Transactions on Smart Grid
Y1 - 2020/03//
SP - 1296
EP - 1306
A1 - Roel Dobbe
A1 - Oscar Sondermeijer
A1 - David Fridovich-Keil
A1 - Daniel B. Arnold
A1 - Duncan S. Callaway
A1 - Claire Tomlin
AB - The implementation of optimal power flow (OPF) methods to perform voltage and power flow regulation in electric networks is generally believed to require extensive communication. We consider distribution systems with multiple controllable Distributed Energy Resources (DERs) and present a data-driven approach to learn control policies for each DER to reconstruct and mimic the solution to a centralized OPF problem from solely locally available information. Collectively, all local controllers closely match the centralized OPF solution, providing near-optimal performance and satisfaction of system constraints. A rate distortion framework enables the analysis of how well the resulting fully decentralized control policies are able to reconstruct the OPF solution. The methodology provides a natural extension to decide what nodes a DER should communicate with to improve the reconstruction of its individual policy. The method is applied on both single- and three-phase test feeder networks using data from real loads and distributed generators, focusing on DERs that do not exhibit intertemporal dependencies. It provides a framework for Distribution System Operators to efficiently plan and operate the contributions of DERs to achieve Distributed Energy Services in distribution networks.
VL - 11
IS - 2
JO - IEEE Trans. Smart Grid
ER -