Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids: Preprint

Arthur Santos; James Cale; Avpreet Othee; Daniel Gerber; Stephen Frank; Gerald Duggan; Dan Zimmerle; Rich Brown

Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids: Preprint

Arthur Santos
, James Cale
, Avpreet Othee
, Daniel Gerber
, Stephen Frank
, Gerald Duggan
, Dan Zimmerle
, Rich Brown

Research output: Contribution to conference › Paper

Abstract

This paper compares several electrical load models for estimating the efficiency of DC vs. AC distribution in microgrids. Candidate models include energy balance, harmonic power flow, and time-domain modeling. Model results are compared with numerical studies and validated with experimental measurements. Based on quantitative and qualitative considerations, the most appropriate load modeling approach for larger-scale DC distribution efficiency studies is proposed.

Original language	American English
Number of pages	11
State	Published - 2020
Event	IEEE International Conference on DC Microgrids (ICDCM 2019) - Matsue, Japan Duration: 20 May 2019 → 23 May 2019

Conference

Conference	IEEE International Conference on DC Microgrids (ICDCM 2019)
City	Matsue, Japan
Period	20/05/19 → 23/05/19

NLR Publication Number

NREL/CP-3500-77228

Keywords

DC distribution
electrical efficiency
harmonic power flow
load modeling
microgrid

Access to Document

https://www.nrel.gov/docs/fy20osti/77228.pdf

Cite this

@conference{7c2a68c4884e4d139552579115b42a11,

title = "Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids: Preprint",

abstract = "This paper compares several electrical load models for estimating the efficiency of DC vs. AC distribution in microgrids. Candidate models include energy balance, harmonic power flow, and time-domain modeling. Model results are compared with numerical studies and validated with experimental measurements. Based on quantitative and qualitative considerations, the most appropriate load modeling approach for larger-scale DC distribution efficiency studies is proposed.",

keywords = "DC distribution, electrical efficiency, harmonic power flow, load modeling, microgrid",

author = "Arthur Santos and James Cale and Avpreet Othee and Daniel Gerber and Stephen Frank and Gerald Duggan and Dan Zimmerle and Rich Brown",

year = "2020",

language = "American English",

note = "IEEE International Conference on DC Microgrids (ICDCM 2019) ; Conference date: 20-05-2019 Through 23-05-2019",

}

TY - CONF

T1 - Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids: Preprint

AU - Santos, Arthur

AU - Cale, James

AU - Othee, Avpreet

AU - Gerber, Daniel

AU - Frank, Stephen

AU - Duggan, Gerald

AU - Zimmerle, Dan

AU - Brown, Rich

PY - 2020

Y1 - 2020

N2 - This paper compares several electrical load models for estimating the efficiency of DC vs. AC distribution in microgrids. Candidate models include energy balance, harmonic power flow, and time-domain modeling. Model results are compared with numerical studies and validated with experimental measurements. Based on quantitative and qualitative considerations, the most appropriate load modeling approach for larger-scale DC distribution efficiency studies is proposed.

AB - This paper compares several electrical load models for estimating the efficiency of DC vs. AC distribution in microgrids. Candidate models include energy balance, harmonic power flow, and time-domain modeling. Model results are compared with numerical studies and validated with experimental measurements. Based on quantitative and qualitative considerations, the most appropriate load modeling approach for larger-scale DC distribution efficiency studies is proposed.

KW - DC distribution

KW - electrical efficiency

KW - harmonic power flow

KW - load modeling

KW - microgrid

M3 - Paper

T2 - IEEE International Conference on DC Microgrids (ICDCM 2019)

Y2 - 20 May 2019 through 23 May 2019

ER -

Comparison of Load Models for Estimating Electrical Efficiency in DC Microgrids: Preprint

Abstract

Conference

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this