Optimal scheduling with dynamic line ratings and intermittent wind power

Research output: Contribution to conference (unpublished)Paper

Standard

Optimal scheduling with dynamic line ratings and intermittent wind power. / Banerjee, Binayak; Jayaweera, Dilan; Islam, Syed M.

2014.

Research output: Contribution to conference (unpublished)Paper

Harvard

APA

Vancouver

Author

Bibtex

@conference{b4e807f75f054b5097aa148e46d52807,
title = "Optimal scheduling with dynamic line ratings and intermittent wind power",
abstract = "Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion.",
keywords = "intermittent generation, power system optimization, risk of congestion, uncertainties in power systems",
author = "Binayak Banerjee and Dilan Jayaweera and Islam, {Syed M.}",
year = "2014",
month = oct,
day = "29",
doi = "10.1109/PESGM.2014.6939381",
language = "English",

}

RIS

TY - CONF

T1 - Optimal scheduling with dynamic line ratings and intermittent wind power

AU - Banerjee, Binayak

AU - Jayaweera, Dilan

AU - Islam, Syed M.

PY - 2014/10/29

Y1 - 2014/10/29

N2 - Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion.

AB - Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion.

KW - intermittent generation

KW - power system optimization

KW - risk of congestion

KW - uncertainties in power systems

UR - http://www.scopus.com/inward/record.url?scp=84930989286&partnerID=8YFLogxK

U2 - 10.1109/PESGM.2014.6939381

DO - 10.1109/PESGM.2014.6939381

M3 - Paper

AN - SCOPUS:84930989286

ER -