State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin

Darbali-Zamora, Rachid; Johnson, Jay; Summers, Adam; Jones, C. Birk; Hansen, Clifford; Showalter, Chad

doi:10.3390/en14030774

State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin

Journal Article · Mon Feb 01 23:00:00 EST 2021 · Energies

DOI:https://doi.org/10.3390/en14030774· OSTI ID:2279818

Darbali-Zamora, Rachid; ; ; Jones, C. Birk; Hansen, Clifford; Showalter, Chad

Real-time state estimation using a digital twin can overcome the lack of in-field measurements inside an electric feeder to optimize grid services provided by distributed energy resources (DERs). Optimal reactive power control of DERs can be used to mitigate distribution system voltage violations caused by increased penetrations of photovoltaic (PV) systems. In this work, a new technology called the Programmable Distribution Resource Open Management Optimization System (ProDROMOS) issued optimized DER reactive power setpoints based-on results from a particle swarm optimization (PSO) algorithm wrapped around OpenDSS time-series feeder simulations. This paper demonstrates the use of the ProDROMOS in a RT simulated environment using a power hardware-in-the-loop PV inverter and in a field demonstration, using a 678 kW PV system in Grafton (MA, USA). The primary contribution of the work is demonstrating a RT digital twin effectively provides state estimation pseudo-measurements that can be used to optimize DER operations for distribution voltage regulation.

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Sponsoring Organization:: USDOE

OSTI ID:: 2279818

Journal Information:: Energies, Journal Name: Energies Journal Issue: 3 Vol. 14; ISSN ENERGA; ISSN 1996-1073

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

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