dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorInst Fed Mato Grosso Sul
dc.contributorUniv Malaga
dc.contributorElect Power Res Inst
dc.date.accessioned2018-11-26T17:52:10Z
dc.date.available2018-11-26T17:52:10Z
dc.date.created2018-11-26T17:52:10Z
dc.date.issued2018-07-10
dc.identifierIet Generation Transmission & Distribution. Hertford: Inst Engineering Technology-iet, v. 12, n. 12, p. 2995-3004, 2018.
dc.identifier1751-8687
dc.identifierhttp://hdl.handle.net/11449/164335
dc.identifier10.1049/iet-gtd.2017.0731
dc.identifierWOS:000435653400020
dc.identifierWOS000435653400020.pdf
dc.description.abstractThis work presents a probabilistic sequential framework for short-term operation of distribution companies (DisCos) participating in the day-ahead (DA) and real-time (RT) markets. In the proposed framework, the DisCo's operating decisions are sequentially optimised; first, in a DA operation stage, and then in RT. The DA decisions are driven by the DisCo's profit maximisation, while the DisCo aims to minimise the actions required to accommodate deviations from forecasted quantities (i.e. the DA decisions) in the RT operation stage. This sequential approach considers realistic voltage-sensitive loads and full ac power flow equations to represent the realistic network's active and reactive power injections. In addition, the operation of stationary batteries and the demand elasticity under time-varying retail prices are explicitly modelled. The two resulting models are large-scale highly non-linear non-convex mathematical problems with continuous and discrete variables. A pseudo-dynamic tabu-search-based solution algorithm is used as an alternative to conventional optimisation solvers in order to tackle the problem in an effective manner, without linearisations. Numerical results from 69- and 135-bus distribution systems illustrate the performance and the scalability of the proposed approach.
dc.languageeng
dc.publisherInst Engineering Technology-iet
dc.relationIet Generation Transmission & Distribution
dc.relation0,907
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectpricing
dc.subjectoptimisation
dc.subjectnonlinear programming
dc.subjectinteger programming
dc.subjectminimisation
dc.subjectpower markets
dc.subjectload flow
dc.subjectsearch problems
dc.subjectdistribution networks
dc.subjectDA decisions
dc.subjectDisCo's profit maximisation
dc.subjectRT operation stage
dc.subjectsequential approach
dc.subjectrealistic voltage-sensitive loads
dc.subjectac power flow equations
dc.subjectrealistic network
dc.subjecttime-varying retail prices
dc.subjectnonlinear nonconvex
dc.subjectpseudodynamic tabu-search
dc.subjectconventional optimisation solvers
dc.subject135-bus distribution systems
dc.subjectshort-term operation
dc.subjectpseudodynamic tabu search-based optimisation
dc.subjectprobabilistic sequential framework
dc.subjectdistribution companies
dc.subjectDisCo's operating decisions
dc.subjectDA operation stage
dc.titleShort-term operation of a distribution company: A pseudo-dynamic tabu search-based optimisation
dc.typeArtículos de revistas


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