LAPSE:2023.29453
Published Article
LAPSE:2023.29453
State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin
Rachid Darbali-Zamora, Jay Johnson, Adam Summers, C. Birk Jones, Clifford Hansen, Chad Showalter
April 13, 2023
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.
Keywords
digital twin, distributed energy resources, distribution system, Particle Swarm Optimization, photovoltaics, power hardware-in-the-loop, state estimation, voltage regulation
Suggested Citation
Darbali-Zamora R, Johnson J, Summers A, Jones CB, Hansen C, Showalter C. State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin. (2023). LAPSE:2023.29453
Author Affiliations
Darbali-Zamora R: Sandia National Laboratories, Albuquerque, NM 87123, USA
Johnson J: Sandia National Laboratories, Albuquerque, NM 87123, USA [ORCID]
Summers A: Sandia National Laboratories, Albuquerque, NM 87123, USA [ORCID]
Jones CB: Sandia National Laboratories, Albuquerque, NM 87123, USA
Hansen C: Sandia National Laboratories, Albuquerque, NM 87123, USA
Showalter C: Connected Energy, Pittsburgh, PA 15220, USA
Journal Name
Energies
Volume
14
Issue
3
First Page
774
Year
2021
Publication Date
2021-02-02
Published Version
ISSN
1996-1073
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PII: en14030774, Publication Type: Journal Article
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LAPSE:2023.29453
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doi:10.3390/en14030774
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Apr 13, 2023
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