Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint

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

Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint

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

Research output: Contribution to conference › Paper

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 network, the DERMS software controller, and 84 power hardware photovoltaics (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 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), 100% and 30% PV being controlled. The results show that the GO-Solar platform controlling 30% PVs maybe the best option in terms of control performance and cost for implementation and installation of the infrastructures.

Original language	American English
Number of pages	10
State	Published - 2022
Event	2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Duration: 25 Oct 2021 → 28 Oct 2021

Conference

Conference	2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Period	25/10/21 → 28/10/21

Bibliographical note

See NREL/CP-5D00-82254 for paper as published in proceedings

NREL Publication Number

NREL/CP-5D00-80109

Keywords

distributed energy resource management system
hardware-in-the-loop
online multi-objective optimization
voltage regulation

Access to Document

https://www.nrel.gov/docs/fy22osti/80109.pdf

Cite this

@conference{58f3fbab8e62476197d188439d014eb7,

title = "Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint",

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 network, the DERMS software controller, and 84 power hardware photovoltaics (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 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), 100% and 30% PV being controlled. The results show that the GO-Solar platform controlling 30% PVs maybe the best option in terms of control performance and cost for implementation and installation of the infrastructures.",

keywords = "distributed energy resource management system, hardware-in-the-loop, online multi-objective optimization, voltage regulation",

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

note = "See NREL/CP-5D00-82254 for paper as published in proceedings; 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ; Conference date: 25-10-2021 Through 28-10-2021",

year = "2022",

language = "American English",

}

Wang, J, Simpson, J, Yang, R , Palmintier, B, Tiwari, S & Zhang, Y 2022, 'Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint', Paper presented at 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 25/10/21 - 28/10/21. <https://www.nrel.gov/docs/fy22osti/80109.pdf>

TY - CONF

T1 - Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint

AU - Wang, Jing

AU - Simpson, Jeff

AU - Yang, Rui

AU - Palmintier, Bryan

AU - Tiwari, Soumya

AU - Zhang, Yingchen

N1 - See NREL/CP-5D00-82254 for paper as published in proceedings

PY - 2022

Y1 - 2022

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 network, the DERMS software controller, and 84 power hardware photovoltaics (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 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), 100% and 30% PV being controlled. The results show that the GO-Solar platform controlling 30% PVs maybe the best option in terms of control performance and cost for implementation and installation of the infrastructures.

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 network, the DERMS software controller, and 84 power hardware photovoltaics (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 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), 100% and 30% PV being controlled. The results show that the GO-Solar platform controlling 30% PVs maybe the best option in terms of control performance and cost for implementation and installation of the infrastructures.

KW - distributed energy resource management system

KW - hardware-in-the-loop

KW - online multi-objective optimization

KW - voltage regulation

M3 - Paper

T2 - 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

Y2 - 25 October 2021 through 28 October 2021

ER -

Performance Evaluation of an Advanced Distributed Energy Resource Management Algorithm: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this