Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm

Conference · Mon Dec 13 04:00:00 EST 2021

DOI:https://doi.org/10.1109/SmartGridComm51999.2021.9632298· OSTI ID:1846940

Wang, Jing; Simpson, Jeff; Yang, Rui; Palmintier, Bryan; Tiwari, Soumya; Zhang, Yingchen

This paper presents performance evaluation of a new distributed energy resource management system (DERMS) algorithm via an advanced hardware-in-the-loop (HIL) platform. The HIL platform provides realistic testing in a laboratory environment, including the accurate modeling of sub-transmission and distribution networks, the DERMS software controller, and 84 power hardware solar photovoltaic (PV) inverters, standard communication protocols, and a capacitor bank controller. The DERMS algorithm is also called, Grid-Optimization of Solar (GO-Solar) platform which includes predictive state estimation (PSE) and online multiple objective optimization (OMOO) to dispatch the legacy devices and distributed energy resources (e.g., PV). The voltage regulation performance is evaluated under three scenarios, volt-var smart inverter (baseline), and DERMS control for 100% and 30% of PV. The results show that controlling 30% of PV systems with the GO-Solar platform may provide the best balance of control performance and implementation cost.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1846940
• Report Number(s): NREL/CP-5D00-82254; MainId:83027; UUID:6c879fcd-f377-48ae-81db-82662f9b4b8b; MainAdminID:63932
• Country of Publication: United States
• Language: English

Related Subjects

DERMS
HIL
OMOO
POWER TRANSMISSION AND DISTRIBUTION
distributed energy resource management system
hardware-in-the-loop
online multi-objective optimization
voltage regulation