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A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation

This letter presents a new expression of the chance constraint, representing ramping and operating reserve, in the context of the mixed integer linear programming (MILP) formulation for solving the hybrid stochastic/deterministic unit commitment (SDUC) problem. Based on projected disjunctive program...

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Main Authors: Tan, W. S., Shaaban, M.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/71942/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957635312&doi=10.1109%2fTPWRS.2016.2521326&partnerID=40&md5=116e8dcce20c7589e4613d96b3001ef2
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spelling my.utm.719422017-11-16T06:15:04Z http://eprints.utm.my/id/eprint/71942/ A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation Tan, W. S. Shaaban, M. TK Electrical engineering. Electronics Nuclear engineering This letter presents a new expression of the chance constraint, representing ramping and operating reserve, in the context of the mixed integer linear programming (MILP) formulation for solving the hybrid stochastic/deterministic unit commitment (SDUC) problem. Based on projected disjunctive programming, the nonlinear chance constraint is converted into a set of linear constraints that has a more compact size. Numerical simulations highlight the primacy of the proposed MILP-SDUC reformulation as compared with other formulation approaches. Institute of Electrical and Electronics Engineers Inc. 2016 Article PeerReviewed Tan, W. S. and Shaaban, M. (2016) A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation. IEEE Transactions on Power Systems, 31 (6). pp. 5200-5201. ISSN 0885-8950 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957635312&doi=10.1109%2fTPWRS.2016.2521326&partnerID=40&md5=116e8dcce20c7589e4613d96b3001ef2
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tan, W. S.
Shaaban, M.
A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
description This letter presents a new expression of the chance constraint, representing ramping and operating reserve, in the context of the mixed integer linear programming (MILP) formulation for solving the hybrid stochastic/deterministic unit commitment (SDUC) problem. Based on projected disjunctive programming, the nonlinear chance constraint is converted into a set of linear constraints that has a more compact size. Numerical simulations highlight the primacy of the proposed MILP-SDUC reformulation as compared with other formulation approaches.
format Article
author Tan, W. S.
Shaaban, M.
author_facet Tan, W. S.
Shaaban, M.
author_sort Tan, W. S.
title A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
title_short A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
title_full A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
title_fullStr A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
title_full_unstemmed A hybrid stochastic/deterministic unit commitment based on projected disjunctive MILP reformulation
title_sort hybrid stochastic/deterministic unit commitment based on projected disjunctive milp reformulation
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/71942/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957635312&doi=10.1109%2fTPWRS.2016.2521326&partnerID=40&md5=116e8dcce20c7589e4613d96b3001ef2
_version_ 1643656319479054336
score 13.211869

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