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A Stochastic Control Approach to Manage Operational Risk in Power Systems
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2012 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 27, no 2, 1021-1031 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, the novel method operational risk managing optimal power flow (ORMOPF), for minimizing the expected cost of power system operation, is proposed. In contrast to previous research in the area, the proposed method does not use a security criterion. Instead the expected cost of operation includes expected costs of system failures. This will lead to more flexible operating limits, giving a more adequate balance between risk and economic benefit of transmission. The method assumes a set of observable system variables such as transfers through specific transmission corridors, system frequency, or distance to a bifurcation surface. Then impulse control is applied to find an optimal strategy for activation of tertiary reserves, based on the values of the observables.

Place, publisher, year, edition, pages
2012. Vol. 27, no 2, 1021-1031 p.
Keyword [en]
Net transmission capacity, operational risk managing optimal power flow (ORMOPF), optimal power flow (OPF), power system security, security-constrained optimal power flow (SCOPF), tertiary reserves
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-52585DOI: 10.1109/TPWRS.2011.2174165ISI: 000303205500048Scopus ID: 2-s2.0-84860257961OAI: oai:DiVA.org:kth-52585DiVA: diva2:467153
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Note

QC 20120525

Available from: 2011-12-19 Created: 2011-12-19 Last updated: 2017-12-08Bibliographically approved

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Söder, Lennart

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