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 and
Chad Showalter
Additional contact information
Rachid Darbali-Zamora: Sandia National Laboratories, Albuquerque, NM 87123, USA
Jay Johnson: Sandia National Laboratories, Albuquerque, NM 87123, USA
Adam Summers: Sandia National Laboratories, Albuquerque, NM 87123, USA
C. Birk Jones: Sandia National Laboratories, Albuquerque, NM 87123, USA
Clifford Hansen: Sandia National Laboratories, Albuquerque, NM 87123, USA
Chad Showalter: Connected Energy, Pittsburgh, PA 15220, USA
Energies, 2021, vol. 14, issue 3, 1-21
Abstract:
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: voltage regulation; state estimation; distribution system; photovoltaics; power hardware-in-the-loop; distributed energy resources; particle swarm optimization; digital twin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)
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