Design Flexibility for Uncertain Distributed Generation from Photovoltaics

Bryan Palmintier; Dheepak Krishnamurthy; Hongyu Wu

doi:10.1109/ISGT.2016.7781196

Design Flexibility for Uncertain Distributed Generation from Photovoltaics

Bryan Palmintier
, Dheepak Krishnamurthy
, Hongyu Wu

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

6 Scopus Citations

Abstract

Uncertainty in the future adoption patterns for distributed energy resources (DERs) introduces a challenge for electric distribution system planning. This paper explores the potential for flexibility in design - also known as real options - to identify design solutions that may never emerge when future DER patterns are treated as deterministic. A test case for storage system design with uncertain distributed generation for solar photovoltaics (DGPV) demonstrates this approach and is used to study sensitivities to a range of techno-economic assumptions.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/ISGT.2016.7781196 https://doi.org/10.1109/ISGT.2016.7781196
State	Published - 9 Dec 2016
Event	2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 - Minneapolis, United States Duration: 6 Sep 2016 → 9 Sep 2016

Conference

Conference	2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016
Country/Territory	United States
City	Minneapolis
Period	6/09/16 → 9/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

NLR Publication Number

NREL/CP-5D00-66762

Keywords

Distribution System Planning
Dynamic Programming
Flexibility in Design
Real Options

Access to Document

Cite this

@conference{975eeab887a04b658287932570064911,

title = "Design Flexibility for Uncertain Distributed Generation from Photovoltaics",

abstract = "Uncertainty in the future adoption patterns for distributed energy resources (DERs) introduces a challenge for electric distribution system planning. This paper explores the potential for flexibility in design - also known as real options - to identify design solutions that may never emerge when future DER patterns are treated as deterministic. A test case for storage system design with uncertain distributed generation for solar photovoltaics (DGPV) demonstrates this approach and is used to study sensitivities to a range of techno-economic assumptions.",

keywords = "Distribution System Planning, Dynamic Programming, Flexibility in Design, Real Options",

author = "Bryan Palmintier and Dheepak Krishnamurthy and Hongyu Wu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

year = "2016",

month = dec,

day = "9",

doi = "10.1109/ISGT.2016.7781196",

language = "American English",

}

TY - CONF

T1 - Design Flexibility for Uncertain Distributed Generation from Photovoltaics

AU - Palmintier, Bryan

AU - Krishnamurthy, Dheepak

AU - Wu, Hongyu

PY - 2016/12/9

Y1 - 2016/12/9

N2 - Uncertainty in the future adoption patterns for distributed energy resources (DERs) introduces a challenge for electric distribution system planning. This paper explores the potential for flexibility in design - also known as real options - to identify design solutions that may never emerge when future DER patterns are treated as deterministic. A test case for storage system design with uncertain distributed generation for solar photovoltaics (DGPV) demonstrates this approach and is used to study sensitivities to a range of techno-economic assumptions.

AB - Uncertainty in the future adoption patterns for distributed energy resources (DERs) introduces a challenge for electric distribution system planning. This paper explores the potential for flexibility in design - also known as real options - to identify design solutions that may never emerge when future DER patterns are treated as deterministic. A test case for storage system design with uncertain distributed generation for solar photovoltaics (DGPV) demonstrates this approach and is used to study sensitivities to a range of techno-economic assumptions.

KW - Distribution System Planning

KW - Dynamic Programming

KW - Flexibility in Design

KW - Real Options

UR - https://www.scopus.com/pages/publications/85010703522

U2 - 10.1109/ISGT.2016.7781196

DO - 10.1109/ISGT.2016.7781196

M3 - Paper

AN - SCOPUS:85010703522

T2 - 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016

Y2 - 6 September 2016 through 9 September 2016

ER -

Design Flexibility for Uncertain Distributed Generation from Photovoltaics

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

Access to Document

Other files and links

Fingerprint

Cite this