Optimal Distribution System Voltage Regulation using State Estimation and DER Grid-Support Functions

Technical Report · Fri Jan 31 23:00:00 EST 2020

DOI:https://doi.org/10.2172/1638511· OSTI ID:1638511

Johnson, Jay Tillay ^[1]; Summers, Adam ^[1]; Darbali-Zamora, Rachid ^[1]; Hansen, Clifford ^[1]; Reno, Matthew J. ^[1]; Castillo, Anya ^[1]; Gonzalez, Sigifredo ^[1]; Hernandez-Alvidrez, Javier ^[1]; Gurule, Nicholas S. ^[1]; Xie, Boqi ^[2]; Zhong, Chiyang ^[2]; Meliopooulos, A. P. ^[2]; Showalter, Chad ^[3]; Rohrer, Terry ^[3]; Rupnik, Mark ^[3]; Anandan, Jithendar ^[4]; Heine, Nicholas ^[4]; Hernandez F., Miguel E. ^[4]; Martinez, Davis Montenegro ^[4]; Seal, Brian ^[4] ; Tansy, Tom ^[5]; Fox, Bob ^[5]; Pochiraju, Anil ^[5]; Martinez, Suzanne ^[5]; Smith, Harmony ^[6]; Arafa, Samer ^[6]; Woodard, Justin ^[6]; Hawkins, Jon ^[7]; Rothblum, Philip ^[8]; Bintz, Miles ^[8]; Chapman, Patrick ^[8]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
2. Georgia Inst. of Technology, Atlanta, GA (United States)
3. Connected Energy, LLC., San Luis Obispo, CA (United States)
4. Electric Power Research Inst. (EPRI), Knoxville, TN (United States)
5. SunSpec Alliance, San Jose, CA (United States)
6. National Grid, London (United Kingdom)
7. Arizona Public Service Company, Albuquerque, NM (United States)
8. SunPower Corporation, San Jose, CA (United States)

Increasing solar energy penetrations may create challenges for distribution system operations because production variability can lead to large voltage deviations or protection system miscoordination. Instituting advanced management systems on distribution systems is one promising method for combating these challenges by intelligently controlling distribution assets to regulate voltage and ensure protection safety margins. While it is generally not the case today, greater deployment of power system sensors and interoperable distributed energy resources (DER)e.g., photovoltaic (PV) inverters, energy storage systems (ESS), electric vehicles (EVs)will enable situational awareness, control, and optimization of distribution systems. In this work, a control system was created which measures power system parameters to estimate the status of a feeder, forecasts the distribution state over a short-term horizon, and issues optimal set point commands to distribution-connected equipment to regulate voltage and protect the system. This two-year project integrated multiple research innovations into a management system designed to safely allow PV penetrations of 50% or greater. The integrated software was demonstrated through extensive real-time (RT) and power hardware-in-the-loop studies and a field demonstration on a live power system with a 684 kVA PV system.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Program (EE-2A)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1638511
• Report Number(s): SAND--2020-2331; 684434
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION