Network-Constrained AC Unit Commitment Under Uncertainty: A Benders' Decomposition Approach
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
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.
Benders' decomposition, network-constrained ac unit commitment, stochastic programming, wind power uncertainty
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-180967DOI: 10.1109/TPWRS.2015.2409198ISI: 000367298100041OAI: oai:DiVA.org:kth-180967DiVA: diva2:898629
QC 201601282016-01-282016-01-262016-01-28Bibliographically approved