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Network-Constrained AC Unit Commitment Under Uncertainty: A Benders' Decomposition Approach
KTH, School of Electrical Engineering (EES).
KTH, School of Electrical Engineering (EES).ORCID iD: 0000-0002-6431-9104
2016 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 31, no 1, 412-422 p.Article in journal (Refereed) PublishedText
Abstract [en]

This paper proposes an efficient solution approach based on Benders' decomposition to solve a network-constrained ac unit commitment problem under uncertainty. The wind power production is the only source of uncertainty considered in this paper, which is modeled through a suitable set of scenarios. The proposed model is formulated as a two-stage stochastic programming problem, whose first-stage refers to the day-ahead market, and whose second-stage represents real-time operation. The proposed Benders' approach allows decomposing the original problem, which is mixed-integer nonlinear and generally intractable, into a mixed-integer linear master problem and a set of nonlinear, but continuous subproblems, one per scenario. In addition, to temporally decompose the proposed ac unit commitment problem, a heuristic technique is used to relax the inter-temporal ramping constraints of the generating units. Numerical results from a case study based on the IEEE one-area reliability test system (RTS) demonstrate the usefulness of the proposed approach.

Place, publisher, year, edition, pages
IEEE , 2016. Vol. 31, no 1, 412-422 p.
Keyword [en]
Benders' decomposition, network-constrained ac unit commitment, stochastic programming, wind power uncertainty
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-180967DOI: 10.1109/TPWRS.2015.2409198ISI: 000367298100041OAI: oai:DiVA.org:kth-180967DiVA: diva2:898629
Note

QC 20160128

Available from: 2016-01-28 Created: 2016-01-26 Last updated: 2016-01-28Bibliographically approved

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Nasri, AminGhandhari, Mehrdad
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