Reserve requirements to efficiently manage intra-zonal congestion

Joshua D. Lyon, Kory Hedman, Muhong Zhang

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

The security-constrained unit commitment problem schedules power generators to minimize cost subject to operating constraints. Reserve requirements ensure that reserve is available to re-balance the system following a contingency but do not guarantee reliability in congested systems where reserve activation is limited by transmission constraints. Operators improve reserve deliverability by limiting power ows and controlling the location of reserves. Zones are used to address inter-zonal congestion but operators lack efficient ways to handle intra-zonal congestion. We propose dynamically relating minimum reserve levels to transmission stress in a computationally efficient approach that complements existing reserve models from the literature. Analysis on the IEEE RTS 96 test case demonstrates the approach can mitigate intra-zonal congestion more economically than traditional reserve policies.

Original languageEnglish (US)
Article number6587575
Pages (from-to)251-258
Number of pages8
JournalIEEE Transactions on Power Systems
Volume29
Issue number1
DOIs
StatePublished - Jan 2014

Fingerprint

Chemical activation
Costs

Keywords

  • Congestion management
  • operating reserve
  • optimization
  • power system economics
  • power system reliability
  • power system security
  • reserve requirements
  • unit commitment

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Reserve requirements to efficiently manage intra-zonal congestion. / Lyon, Joshua D.; Hedman, Kory; Zhang, Muhong.

In: IEEE Transactions on Power Systems, Vol. 29, No. 1, 6587575, 01.2014, p. 251-258.

Research output: Contribution to journalArticle

Lyon, Joshua D. ; Hedman, Kory ; Zhang, Muhong. / Reserve requirements to efficiently manage intra-zonal congestion. In: IEEE Transactions on Power Systems. 2014 ; Vol. 29, No. 1. pp. 251-258.
@article{ddf8a6ba9287444ea8d4dacf05d3ae1b,
title = "Reserve requirements to efficiently manage intra-zonal congestion",
abstract = "The security-constrained unit commitment problem schedules power generators to minimize cost subject to operating constraints. Reserve requirements ensure that reserve is available to re-balance the system following a contingency but do not guarantee reliability in congested systems where reserve activation is limited by transmission constraints. Operators improve reserve deliverability by limiting power ows and controlling the location of reserves. Zones are used to address inter-zonal congestion but operators lack efficient ways to handle intra-zonal congestion. We propose dynamically relating minimum reserve levels to transmission stress in a computationally efficient approach that complements existing reserve models from the literature. Analysis on the IEEE RTS 96 test case demonstrates the approach can mitigate intra-zonal congestion more economically than traditional reserve policies.",
keywords = "Congestion management, operating reserve, optimization, power system economics, power system reliability, power system security, reserve requirements, unit commitment",
author = "Lyon, {Joshua D.} and Kory Hedman and Muhong Zhang",
year = "2014",
month = "1",
doi = "10.1109/TPWRS.2013.2278537",
language = "English (US)",
volume = "29",
pages = "251--258",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Reserve requirements to efficiently manage intra-zonal congestion

AU - Lyon, Joshua D.

AU - Hedman, Kory

AU - Zhang, Muhong

PY - 2014/1

Y1 - 2014/1

N2 - The security-constrained unit commitment problem schedules power generators to minimize cost subject to operating constraints. Reserve requirements ensure that reserve is available to re-balance the system following a contingency but do not guarantee reliability in congested systems where reserve activation is limited by transmission constraints. Operators improve reserve deliverability by limiting power ows and controlling the location of reserves. Zones are used to address inter-zonal congestion but operators lack efficient ways to handle intra-zonal congestion. We propose dynamically relating minimum reserve levels to transmission stress in a computationally efficient approach that complements existing reserve models from the literature. Analysis on the IEEE RTS 96 test case demonstrates the approach can mitigate intra-zonal congestion more economically than traditional reserve policies.

AB - The security-constrained unit commitment problem schedules power generators to minimize cost subject to operating constraints. Reserve requirements ensure that reserve is available to re-balance the system following a contingency but do not guarantee reliability in congested systems where reserve activation is limited by transmission constraints. Operators improve reserve deliverability by limiting power ows and controlling the location of reserves. Zones are used to address inter-zonal congestion but operators lack efficient ways to handle intra-zonal congestion. We propose dynamically relating minimum reserve levels to transmission stress in a computationally efficient approach that complements existing reserve models from the literature. Analysis on the IEEE RTS 96 test case demonstrates the approach can mitigate intra-zonal congestion more economically than traditional reserve policies.

KW - Congestion management

KW - operating reserve

KW - optimization

KW - power system economics

KW - power system reliability

KW - power system security

KW - reserve requirements

KW - unit commitment

UR - http://www.scopus.com/inward/record.url?scp=84891557900&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891557900&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2013.2278537

DO - 10.1109/TPWRS.2013.2278537

M3 - Article

AN - SCOPUS:84891557900

VL - 29

SP - 251

EP - 258

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 1

M1 - 6587575

ER -