State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin
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 ca...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/3/774 |
| _version_ | 1797416683855413248 |
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| author | Rachid Darbali-Zamora Jay Johnson Adam Summers C. Birk Jones Clifford Hansen Chad Showalter |
| author_facet | Rachid Darbali-Zamora Jay Johnson Adam Summers C. Birk Jones Clifford Hansen Chad Showalter |
| author_sort | Rachid Darbali-Zamora |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T06:07:41Z |
| format | Article |
| id | doaj.art-d4e23197be2549d6aebd8cdf611a1afd |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T06:07:41Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d4e23197be2549d6aebd8cdf611a1afd2023-12-03T12:02:00ZengMDPI AGEnergies1996-10732021-02-0114377410.3390/en14030774State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital TwinRachid Darbali-Zamora0Jay Johnson1Adam Summers2C. Birk Jones3Clifford Hansen4Chad Showalter5Sandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USAConnected Energy, Pittsburgh, PA 15220, USAReal-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.https://www.mdpi.com/1996-1073/14/3/774voltage regulationstate estimationdistribution systemphotovoltaicspower hardware-in-the-loopdistributed energy resources |
| spellingShingle | Rachid Darbali-Zamora Jay Johnson Adam Summers C. Birk Jones Clifford Hansen Chad Showalter State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin Energies voltage regulation state estimation distribution system photovoltaics power hardware-in-the-loop distributed energy resources |
| title | State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin |
| title_full | State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin |
| title_fullStr | State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin |
| title_full_unstemmed | State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin |
| title_short | State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin |
| title_sort | state estimation based distributed energy resource optimization for distribution voltage regulation in telemetry sparse environments using a real time digital twin |
| topic | voltage regulation state estimation distribution system photovoltaics power hardware-in-the-loop distributed energy resources |
| url | https://www.mdpi.com/1996-1073/14/3/774 |
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