Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm

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

Research output: Contribution to conferencePaperpeer-review

4 Scopus Citations


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.


Conference2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021

Bibliographical note

See NREL/CP-5D00-80109 for preprint

NREL Publication Number

  • NREL/CP-5D00-82254


  • distributed energy resource management system (DERMS)
  • hardware-in-the-loop (HIL)
  • online multiobjective optimization (OMOO)
  • voltage regulation


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