Annual risk assessment for system thermal overload

Youjie Dai, James D. McCalley, Vijay Vittal

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

3 Citations (Scopus)

Abstract

Thermal overload is a problem often encountered in real power systems. Under the new deregulated power market environment, utilities are more willing to carry out an accurate thermal overload risk assessment before making any facility planning decision than to purchase facilities based on a conservative judgement. They are more interested in the short term such as one year facility planning, than the long term planning. Therefore, we focus on the one year operational planning problem. The main difficulty of this problem lies with the amount of calculation and innumerable possibilities that have to be taken into account. This paper proposes a new method called segmentwise convolution method to calculate the thermal overload risk of every line at every hour in IEEE RTS'96 system. Several techniques are employed to facilitate our calculation. The analysis results are shown in this paper and explained. The method is shown to be efficient in evaluating thermal overload risk.

Original languageEnglish (US)
Title of host publicationProceedings of the American Power Conference
Editors Anon
PublisherIllinois Inst of Technology
Pages88-93
Number of pages6
Volume1
StatePublished - 1998
Externally publishedYes

Fingerprint

Risk assessment
Planning
Convolution
Hot Temperature

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Dai, Y., McCalley, J. D., & Vittal, V. (1998). Annual risk assessment for system thermal overload. In Anon (Ed.), Proceedings of the American Power Conference (Vol. 1, pp. 88-93). Illinois Inst of Technology.

Annual risk assessment for system thermal overload. / Dai, Youjie; McCalley, James D.; Vittal, Vijay.

Proceedings of the American Power Conference. ed. / Anon. Vol. 1 Illinois Inst of Technology, 1998. p. 88-93.

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

Dai, Y, McCalley, JD & Vittal, V 1998, Annual risk assessment for system thermal overload. in Anon (ed.), Proceedings of the American Power Conference. vol. 1, Illinois Inst of Technology, pp. 88-93.
Dai Y, McCalley JD, Vittal V. Annual risk assessment for system thermal overload. In Anon, editor, Proceedings of the American Power Conference. Vol. 1. Illinois Inst of Technology. 1998. p. 88-93
Dai, Youjie ; McCalley, James D. ; Vittal, Vijay. / Annual risk assessment for system thermal overload. Proceedings of the American Power Conference. editor / Anon. Vol. 1 Illinois Inst of Technology, 1998. pp. 88-93
@inproceedings{08188c3bffba422b847ee5de9d43f54b,
title = "Annual risk assessment for system thermal overload",
abstract = "Thermal overload is a problem often encountered in real power systems. Under the new deregulated power market environment, utilities are more willing to carry out an accurate thermal overload risk assessment before making any facility planning decision than to purchase facilities based on a conservative judgement. They are more interested in the short term such as one year facility planning, than the long term planning. Therefore, we focus on the one year operational planning problem. The main difficulty of this problem lies with the amount of calculation and innumerable possibilities that have to be taken into account. This paper proposes a new method called segmentwise convolution method to calculate the thermal overload risk of every line at every hour in IEEE RTS'96 system. Several techniques are employed to facilitate our calculation. The analysis results are shown in this paper and explained. The method is shown to be efficient in evaluating thermal overload risk.",
author = "Youjie Dai and McCalley, {James D.} and Vijay Vittal",
year = "1998",
language = "English (US)",
volume = "1",
pages = "88--93",
editor = "Anon",
booktitle = "Proceedings of the American Power Conference",
publisher = "Illinois Inst of Technology",

}

TY - GEN

T1 - Annual risk assessment for system thermal overload

AU - Dai, Youjie

AU - McCalley, James D.

AU - Vittal, Vijay

PY - 1998

Y1 - 1998

N2 - Thermal overload is a problem often encountered in real power systems. Under the new deregulated power market environment, utilities are more willing to carry out an accurate thermal overload risk assessment before making any facility planning decision than to purchase facilities based on a conservative judgement. They are more interested in the short term such as one year facility planning, than the long term planning. Therefore, we focus on the one year operational planning problem. The main difficulty of this problem lies with the amount of calculation and innumerable possibilities that have to be taken into account. This paper proposes a new method called segmentwise convolution method to calculate the thermal overload risk of every line at every hour in IEEE RTS'96 system. Several techniques are employed to facilitate our calculation. The analysis results are shown in this paper and explained. The method is shown to be efficient in evaluating thermal overload risk.

AB - Thermal overload is a problem often encountered in real power systems. Under the new deregulated power market environment, utilities are more willing to carry out an accurate thermal overload risk assessment before making any facility planning decision than to purchase facilities based on a conservative judgement. They are more interested in the short term such as one year facility planning, than the long term planning. Therefore, we focus on the one year operational planning problem. The main difficulty of this problem lies with the amount of calculation and innumerable possibilities that have to be taken into account. This paper proposes a new method called segmentwise convolution method to calculate the thermal overload risk of every line at every hour in IEEE RTS'96 system. Several techniques are employed to facilitate our calculation. The analysis results are shown in this paper and explained. The method is shown to be efficient in evaluating thermal overload risk.

UR - http://www.scopus.com/inward/record.url?scp=0031649907&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031649907&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031649907

VL - 1

SP - 88

EP - 93

BT - Proceedings of the American Power Conference

A2 - Anon, null

PB - Illinois Inst of Technology

ER -