Comparing decision rules for siting interconnected wind farms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The variability and non-dispatchability of wind power creates many challenges for the operators of electric transmission systems. Current U.S. wind energy policies are focused on encouraging quantities of wind power without much attention paid to quality of the power produced. Using detailed meteorological data from 113 different weather stations in Oklahoma, we simulate power production from a large number of interconnected wind farms and devise a variance-minimizing rule for successively adding farms over a wide geographic area. Our variance-minimizing rule reduces the standard deviation of five-minute averaged wind power output decreases by 27% after grouping of 8 stations. We compare our variance-minimizing decision rule with two other decision rules for incremental wind investment: a nearest-neighbor rule that has been suggested in previous literature and a profit-maximization rule that reflects decentralized decision-makers. All interconnection decision rules reduce the aggregate variance of wind power output, particularly after several stations are interconnected. We find that the nearest-neighbor rule reduces variance by less than half that of the varianceminimization rule. The profit-maximization rule achieves 75% of the variance reduction attained through the variance- minimization rule. We also evaluate and compare wind power variability over hourly and daily time scales and analyze the sensitivity of variance-minimizing wind energy investment patterns to wind-speed measurement frequency. This work is a first step in a larger project, in which we plan to compare the intermittency costs of wind power that arise from different siting policies or decision rules.

Original languageEnglish (US)
Title of host publicationProceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
DOIs
StatePublished - Mar 28 2011
Event44th Hawaii International Conference on System Sciences, HICSS-44 2010 - Koloa, Kauai, HI, United States
Duration: Jan 4 2011Jan 7 2011

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other44th Hawaii International Conference on System Sciences, HICSS-44 2010
CountryUnited States
CityKoloa, Kauai, HI
Period1/4/111/7/11

Fingerprint

Farms
Wind power
Profitability
Electric power transmission
Energy policy
Costs

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Choudhary, P., Blumsack, S. A., & Young, G. S. (2011). Comparing decision rules for siting interconnected wind farms. In Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010 [5718675] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2011.117
Choudhary, Paras ; Blumsack, Seth Adam ; Young, George Spencer. / Comparing decision rules for siting interconnected wind farms. Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010. 2011. (Proceedings of the Annual Hawaii International Conference on System Sciences).
@inproceedings{51a139f8f8e948848f2c353bf178e8ff,
title = "Comparing decision rules for siting interconnected wind farms",
abstract = "The variability and non-dispatchability of wind power creates many challenges for the operators of electric transmission systems. Current U.S. wind energy policies are focused on encouraging quantities of wind power without much attention paid to quality of the power produced. Using detailed meteorological data from 113 different weather stations in Oklahoma, we simulate power production from a large number of interconnected wind farms and devise a variance-minimizing rule for successively adding farms over a wide geographic area. Our variance-minimizing rule reduces the standard deviation of five-minute averaged wind power output decreases by 27{\%} after grouping of 8 stations. We compare our variance-minimizing decision rule with two other decision rules for incremental wind investment: a nearest-neighbor rule that has been suggested in previous literature and a profit-maximization rule that reflects decentralized decision-makers. All interconnection decision rules reduce the aggregate variance of wind power output, particularly after several stations are interconnected. We find that the nearest-neighbor rule reduces variance by less than half that of the varianceminimization rule. The profit-maximization rule achieves 75{\%} of the variance reduction attained through the variance- minimization rule. We also evaluate and compare wind power variability over hourly and daily time scales and analyze the sensitivity of variance-minimizing wind energy investment patterns to wind-speed measurement frequency. This work is a first step in a larger project, in which we plan to compare the intermittency costs of wind power that arise from different siting policies or decision rules.",
author = "Paras Choudhary and Blumsack, {Seth Adam} and Young, {George Spencer}",
year = "2011",
month = "3",
day = "28",
doi = "10.1109/HICSS.2011.117",
language = "English (US)",
isbn = "9780769542829",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
booktitle = "Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010",

}

Choudhary, P, Blumsack, SA & Young, GS 2011, Comparing decision rules for siting interconnected wind farms. in Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010., 5718675, Proceedings of the Annual Hawaii International Conference on System Sciences, 44th Hawaii International Conference on System Sciences, HICSS-44 2010, Koloa, Kauai, HI, United States, 1/4/11. https://doi.org/10.1109/HICSS.2011.117

Comparing decision rules for siting interconnected wind farms. / Choudhary, Paras; Blumsack, Seth Adam; Young, George Spencer.

Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010. 2011. 5718675 (Proceedings of the Annual Hawaii International Conference on System Sciences).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Comparing decision rules for siting interconnected wind farms

AU - Choudhary, Paras

AU - Blumsack, Seth Adam

AU - Young, George Spencer

PY - 2011/3/28

Y1 - 2011/3/28

N2 - The variability and non-dispatchability of wind power creates many challenges for the operators of electric transmission systems. Current U.S. wind energy policies are focused on encouraging quantities of wind power without much attention paid to quality of the power produced. Using detailed meteorological data from 113 different weather stations in Oklahoma, we simulate power production from a large number of interconnected wind farms and devise a variance-minimizing rule for successively adding farms over a wide geographic area. Our variance-minimizing rule reduces the standard deviation of five-minute averaged wind power output decreases by 27% after grouping of 8 stations. We compare our variance-minimizing decision rule with two other decision rules for incremental wind investment: a nearest-neighbor rule that has been suggested in previous literature and a profit-maximization rule that reflects decentralized decision-makers. All interconnection decision rules reduce the aggregate variance of wind power output, particularly after several stations are interconnected. We find that the nearest-neighbor rule reduces variance by less than half that of the varianceminimization rule. The profit-maximization rule achieves 75% of the variance reduction attained through the variance- minimization rule. We also evaluate and compare wind power variability over hourly and daily time scales and analyze the sensitivity of variance-minimizing wind energy investment patterns to wind-speed measurement frequency. This work is a first step in a larger project, in which we plan to compare the intermittency costs of wind power that arise from different siting policies or decision rules.

AB - The variability and non-dispatchability of wind power creates many challenges for the operators of electric transmission systems. Current U.S. wind energy policies are focused on encouraging quantities of wind power without much attention paid to quality of the power produced. Using detailed meteorological data from 113 different weather stations in Oklahoma, we simulate power production from a large number of interconnected wind farms and devise a variance-minimizing rule for successively adding farms over a wide geographic area. Our variance-minimizing rule reduces the standard deviation of five-minute averaged wind power output decreases by 27% after grouping of 8 stations. We compare our variance-minimizing decision rule with two other decision rules for incremental wind investment: a nearest-neighbor rule that has been suggested in previous literature and a profit-maximization rule that reflects decentralized decision-makers. All interconnection decision rules reduce the aggregate variance of wind power output, particularly after several stations are interconnected. We find that the nearest-neighbor rule reduces variance by less than half that of the varianceminimization rule. The profit-maximization rule achieves 75% of the variance reduction attained through the variance- minimization rule. We also evaluate and compare wind power variability over hourly and daily time scales and analyze the sensitivity of variance-minimizing wind energy investment patterns to wind-speed measurement frequency. This work is a first step in a larger project, in which we plan to compare the intermittency costs of wind power that arise from different siting policies or decision rules.

UR - http://www.scopus.com/inward/record.url?scp=79952957420&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952957420&partnerID=8YFLogxK

U2 - 10.1109/HICSS.2011.117

DO - 10.1109/HICSS.2011.117

M3 - Conference contribution

SN - 9780769542829

T3 - Proceedings of the Annual Hawaii International Conference on System Sciences

BT - Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010

ER -

Choudhary P, Blumsack SA, Young GS. Comparing decision rules for siting interconnected wind farms. In Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010. 2011. 5718675. (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2011.117