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Combined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates

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dc.citedby139
dc.contributor.authorSashirekha A.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorMoin N.H.en_US
dc.contributor.authorTan C.S.en_US
dc.contributor.authorid55363578100en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid6507487566en_US
dc.contributor.authorid55363559700en_US
dc.date.accessioned2023-12-28T04:13:13Z
dc.date.available2023-12-28T04:13:13Z
dc.date.issued2013
dc.description.abstractThis paper presents a flexible algorithm to solve the combined heat and power (CHP) economic dispatch problem. The CHP economic dispatch is solved in two levels known as the lower level and higher level. The higher level is the optimization of the surrogate dual function for the relaxed global constraints in which the surrogate subgradient is used to update the Lagrangian multipliers. Coherently, the lower levels are the optimization of the subproblems taking in count each of its local constraints. Flexibility for the choice of algorithm is given at the lower levels optimization techniques with the condition that the algorithm is able to improve its search at each iteration. It is also seen that simple step size rules such as the 'square summable but not summable' and 'constant step size' could be used easily and leads the method to convergence. In addition this paper illustrates the ear clipping method used to modify the common nonconvex feasible region of CHP benchmark problems to a convex region which subsequently enhances the search for an optimal solution. The algorithm is then justified through a numerical test on three benchmark CHP problem with a nonconvex feasible region. Results prove that the algorithm is reliable and could be easily implemented even on a much complex and nonconvex problems. � 2012 Elsevier Ltd. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.ijepes.2012.07.038
dc.identifier.epage430
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84866564679
dc.identifier.spage421
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84866564679&doi=10.1016%2fj.ijepes.2012.07.038&partnerID=40&md5=1885c086b8f6def567b3cf85cab182b5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29460
dc.identifier.volume44
dc.pagecount9
dc.sourceScopus
dc.sourcetitleInternational Journal of Electrical Power and Energy Systems
dc.subjectCombined heat and power economic dispatch
dc.subjectEar clipping
dc.subjectLagrangian relaxation
dc.subjectOptimization
dc.subjectStep size
dc.subjectSurrogate subgradient
dc.subjectAlgorithms
dc.subjectIterative methods
dc.subjectLagrange multipliers
dc.subjectOptimization
dc.subjectScheduling
dc.subjectCombined heat and power
dc.subjectEar clipping
dc.subjectLaGrangian relaxation
dc.subjectStep size
dc.subjectSubgradient
dc.subjectPower generation
dc.titleCombined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updatesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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