Algorithmic investment screening for wide-area Transmission Network Expansion Planning

Pearl Donohoo; Mort Webster; Ignacio Perez-Arriaga

doi:10.1109/PESMG.2013.6672883

Algorithmic investment screening for wide-area Transmission Network Expansion Planning

Pearl Donohoo
, Mort Webster
, Ignacio Perez-Arriaga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In concert with increasing co-ordination of energy markets, transmission planning for location-constrained generation is forcing a shift from regional to wide-area transmission network planning. Planning for location-constrained generators, notably wind and solar resources, is complicated by uncertainty in policies driving their growth. To design transmission systems robust to uncertain future expansion of location-constrained generators, planners must incorporate stochastic generation into models. The size of the transmission expansion problem makes this computationally intractable. This paper presents a screening model to reduce the number of transmission investments which must be considered. The screening model combines sampled generation expansion scenarios with a two-stage relaxed planning model to identify corridors of interest. A St.Clair curve-based filter translates corridors to investment variables. In a 240 bus model of WECC, this method reduced the number of corridors of interest 98% from 19,503 to 303 and reduces the number of investment variables 99% from 58,503 to 432.

Original language	English (US)
Title of host publication	2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs	https://doi.org/10.1109/PESMG.2013.6672883
State	Published - 2013
Event	2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada Duration: Jul 21 2013 → Jul 25 2013

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/Territory	Canada
City	Vancouver, BC
Period	7/21/13 → 7/25/13

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PESMG.2013.6672883

Cite this

@inproceedings{26dbf20c4a44470a9f6f32c9b3dcfe1e,

title = "Algorithmic investment screening for wide-area Transmission Network Expansion Planning",

abstract = "In concert with increasing co-ordination of energy markets, transmission planning for location-constrained generation is forcing a shift from regional to wide-area transmission network planning. Planning for location-constrained generators, notably wind and solar resources, is complicated by uncertainty in policies driving their growth. To design transmission systems robust to uncertain future expansion of location-constrained generators, planners must incorporate stochastic generation into models. The size of the transmission expansion problem makes this computationally intractable. This paper presents a screening model to reduce the number of transmission investments which must be considered. The screening model combines sampled generation expansion scenarios with a two-stage relaxed planning model to identify corridors of interest. A St.Clair curve-based filter translates corridors to investment variables. In a 240 bus model of WECC, this method reduced the number of corridors of interest 98\% from 19,503 to 303 and reduces the number of investment variables 99\% from 58,503 to 432.",

author = "Pearl Donohoo and Mort Webster and Ignacio Perez-Arriaga",

year = "2013",

doi = "10.1109/PESMG.2013.6672883",

language = "English (US)",

isbn = "9781479913039",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2013 IEEE Power and Energy Society General Meeting, PES 2013",

note = "2013 IEEE Power and Energy Society General Meeting, PES 2013 ; Conference date: 21-07-2013 Through 25-07-2013",

}

Donohoo, P, Webster, M & Perez-Arriaga, I 2013, Algorithmic investment screening for wide-area Transmission Network Expansion Planning. in 2013 IEEE Power and Energy Society General Meeting, PES 2013., 6672883, IEEE Power and Energy Society General Meeting, 2013 IEEE Power and Energy Society General Meeting, PES 2013, Vancouver, BC, Canada, 7/21/13. https://doi.org/10.1109/PESMG.2013.6672883

TY - GEN

T1 - Algorithmic investment screening for wide-area Transmission Network Expansion Planning

AU - Donohoo, Pearl

AU - Webster, Mort

AU - Perez-Arriaga, Ignacio

PY - 2013

Y1 - 2013

N2 - In concert with increasing co-ordination of energy markets, transmission planning for location-constrained generation is forcing a shift from regional to wide-area transmission network planning. Planning for location-constrained generators, notably wind and solar resources, is complicated by uncertainty in policies driving their growth. To design transmission systems robust to uncertain future expansion of location-constrained generators, planners must incorporate stochastic generation into models. The size of the transmission expansion problem makes this computationally intractable. This paper presents a screening model to reduce the number of transmission investments which must be considered. The screening model combines sampled generation expansion scenarios with a two-stage relaxed planning model to identify corridors of interest. A St.Clair curve-based filter translates corridors to investment variables. In a 240 bus model of WECC, this method reduced the number of corridors of interest 98% from 19,503 to 303 and reduces the number of investment variables 99% from 58,503 to 432.

AB - In concert with increasing co-ordination of energy markets, transmission planning for location-constrained generation is forcing a shift from regional to wide-area transmission network planning. Planning for location-constrained generators, notably wind and solar resources, is complicated by uncertainty in policies driving their growth. To design transmission systems robust to uncertain future expansion of location-constrained generators, planners must incorporate stochastic generation into models. The size of the transmission expansion problem makes this computationally intractable. This paper presents a screening model to reduce the number of transmission investments which must be considered. The screening model combines sampled generation expansion scenarios with a two-stage relaxed planning model to identify corridors of interest. A St.Clair curve-based filter translates corridors to investment variables. In a 240 bus model of WECC, this method reduced the number of corridors of interest 98% from 19,503 to 303 and reduces the number of investment variables 99% from 58,503 to 432.

UR - https://www.scopus.com/pages/publications/84893173290

UR - https://www.scopus.com/pages/publications/84893173290#tab=citedBy

U2 - 10.1109/PESMG.2013.6672883

DO - 10.1109/PESMG.2013.6672883

M3 - Conference contribution

AN - SCOPUS:84893173290

SN - 9781479913039

T3 - IEEE Power and Energy Society General Meeting

BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013

T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013

Y2 - 21 July 2013 through 25 July 2013

ER -

Algorithmic investment screening for wide-area Transmission Network Expansion Planning

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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