Novel Technique for Developing Linearized Convex System Models from Experimentally Derived Data: Preprint

Aadil Latif; Richard Bryce; Adarsh Nagarajan

Novel Technique for Developing Linearized Convex System Models from Experimentally Derived Data: Preprint

Power Systems Engineering

Research output: Contribution to conference › Paper

Abstract

This paper presents a novel technique for generating a convex system model from an experimentally derived data set which features variance among repeated measurements. The convex system model developed as a test case characterizes the dynamic system losses of a vanadium redox low battery as a function of the active power output and the battery state of charge.

Original language	American English
Number of pages	8
State	Published - 2019
Event	IEEE Power and Energy Society (PES) General Meeting - Atlanta, Georgia Duration: 4 Aug 2019 → 8 Aug 2019

Conference

Conference	IEEE Power and Energy Society (PES) General Meeting
City	Atlanta, Georgia
Period	4/08/19 → 8/08/19

Bibliographical note

See NREL/CP-5D00-76224 for paper as published in IEEE proceedings

NLR Publication Number

NREL/CP-5D00-72754

Keywords

clustering
convex hull
DB-scan
piece-wise linear models
system model
vanadium redox flow battery

Access to Document

https://www.nrel.gov/docs/fy20osti/72754.pdf

Cite this

@conference{ee8c3dfdb4b0488da708c5cc0ab10358,

title = "Novel Technique for Developing Linearized Convex System Models from Experimentally Derived Data: Preprint",

abstract = "This paper presents a novel technique for generating a convex system model from an experimentally derived data set which features variance among repeated measurements. The convex system model developed as a test case characterizes the dynamic system losses of a vanadium redox low battery as a function of the active power output and the battery state of charge.",

keywords = "clustering, convex hull, DB-scan, piece-wise linear models, system model, vanadium redox flow battery",

author = "Aadil Latif and Richard Bryce and Adarsh Nagarajan",

note = "See NREL/CP-5D00-76224 for paper as published in IEEE proceedings; IEEE Power and Energy Society (PES) General Meeting ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

language = "American English",

}

TY - CONF

T1 - Novel Technique for Developing Linearized Convex System Models from Experimentally Derived Data: Preprint

AU - Latif, Aadil

AU - Bryce, Richard

AU - Nagarajan, Adarsh

N1 - See NREL/CP-5D00-76224 for paper as published in IEEE proceedings

PY - 2019

Y1 - 2019

N2 - This paper presents a novel technique for generating a convex system model from an experimentally derived data set which features variance among repeated measurements. The convex system model developed as a test case characterizes the dynamic system losses of a vanadium redox low battery as a function of the active power output and the battery state of charge.

AB - This paper presents a novel technique for generating a convex system model from an experimentally derived data set which features variance among repeated measurements. The convex system model developed as a test case characterizes the dynamic system losses of a vanadium redox low battery as a function of the active power output and the battery state of charge.

KW - clustering

KW - convex hull

KW - DB-scan

KW - piece-wise linear models

KW - system model

KW - vanadium redox flow battery

M3 - Paper

T2 - IEEE Power and Energy Society (PES) General Meeting

Y2 - 4 August 2019 through 8 August 2019

ER -

Novel Technique for Developing Linearized Convex System Models from Experimentally Derived Data: Preprint

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this