Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm

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

doi:10.1109/SmartGridComm51999.2021.9632298

Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm

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

National Renewable Energy Laboratory

Research output: Contribution to conference › Paper › peer-review

5 Scopus Citations

Abstract

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.

Original language	American English
Pages	378-384
Number of pages	7
DOIs	https://doi.org/10.1109/SmartGridComm51999.2021.9632298 https://doi.org/10.1109/SmartGridComm51999.2021.9632298
State	Published - 2021
Event	2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 - Aachen, Germany Duration: 25 Oct 2021 → 28 Oct 2021

Conference

Conference	2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021
Country/Territory	Germany
City	Aachen
Period	25/10/21 → 28/10/21

Bibliographical note

See NREL/CP-5D00-80109 for preprint

NREL Publication Number

NREL/CP-5D00-82254

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Wang, J., Simpson, J., Yang, R., Palmintier, B., Tiwari, S., & Zhang, Y. (2021). Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm. 378-384. Paper presented at 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany. https://doi.org/10.1109/SmartGridComm51999.2021.9632298, https://doi.org/10.1109/SmartGridComm51999.2021.9632298

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abstract = "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.",

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

author = "Jing Wang and Jeff Simpson and Rui Yang and Bryan Palmintier and Soumya Tiwari and Yingchen Zhang",

note = "See NREL/CP-5D00-80109 for preprint; 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 ; Conference date: 25-10-2021 Through 28-10-2021",

year = "2021",

doi = "10.1109/SmartGridComm51999.2021.9632298",

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Wang, J, Simpson, J, Yang, R , Palmintier, B, Tiwari, S & Zhang, Y 2021, 'Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm', Paper presented at 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany, 25/10/21 - 28/10/21 pp. 378-384. https://doi.org/10.1109/SmartGridComm51999.2021.9632298, https://doi.org/10.1109/SmartGridComm51999.2021.9632298

Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm. / Wang, Jing; Simpson, Jeff; Yang, Rui et al.
2021. 378-384 Paper presented at 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

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AU - Wang, Jing

AU - Simpson, Jeff

AU - Yang, Rui

AU - Palmintier, Bryan

AU - Tiwari, Soumya

AU - Zhang, Yingchen

N1 - See NREL/CP-5D00-80109 for preprint

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

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KW - hardware-in-the-loop (HIL)

KW - online multiobjective optimization (OMOO)

KW - voltage regulation

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ER -

Wang J, Simpson J, Yang R , Palmintier B, Tiwari S, Zhang Y. Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm. 2021. Paper presented at 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021, Aachen, Germany. doi: 10.1109/SmartGridComm51999.2021.9632298, 10.1109/SmartGridComm51999.2021.9632298

Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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