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Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant

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dc.contributor.author Nieto Chaupis, Huber
dc.coverage.temporal 12 October 2016 through 14 October 2016
dc.date.accessioned 2019-08-25T20:50:35Z
dc.date.available 2019-08-25T20:50:35Z
dc.date.issued 2016-10
dc.identifier.citation Nieto Chaupis, H. (Octubre, 2016). Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant. En Ecuador Technical Chapters Meeting (ETCM), Ecuador. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/370
dc.identifier.uri https://ieeexplore.ieee.org/document/7750860
dc.identifier.uri http://dx.doi.org/10.1109/ETCM.2016.7750860
dc.description.abstract We report the application of the Model-based Predictive Control (MPC) to improve the performance of the start-up of a 150-175 MW combined cycle power plant whose gas turbine is fueled by natural gas. In concrete the simulations have shown that the efficient drum level control is reflected on the improvement of power efficiency in the sense of reaching the 225 MW set point in around 45 minutes faster than the case of PID. Experimental data taken from ordinary runs from power plant was used for ends of system identification which is based on convolution integrals resulting well adjustable to the acquired data. Simulations have demonstrated that the performance of the MPC surpasses to the one of classic PID essentially in two aspects: (i) reducing the time for reaching set point and (ii) avoiding unexpected critical situations during the plant start-up. Results have indicated that the MPC might reduce in up to 45±5 minutes the time of reaching the set point established to be 225MWwithin a computational error of 5%, which is translated as the MPC error of order of 2.5% working as software in plant. All these results might sustain the fact that the MPC based on convolution models appears to be an interesting scheme to optimize the full functionality in power plants whose expected power is ranging between 200 and 250 MW. en
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf IEEE Ecuador Technical Chapters Meeting, ETCM 2016
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Combined cycle power plants en
dc.subject Convolution en
dc.subject Gas turbines en
dc.subject MIMO systems en
dc.subject Model predictive control en
dc.subject Combined cycle en
dc.subject Computational error en
dc.subject Convolution integrals en
dc.subject Convolution model en
dc.subject Drum Level en
dc.subject Expected power en
dc.subject Improvement of power efficiencies en
dc.subject Model based predictive control en
dc.subject Predictive control systems en
dc.title Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant en_PE
dc.type info:eu-repo/semantics/conferenceObject en_PE
dc.identifier.doi 10.1109/ETCM.2016.7750860 en_PE
dc.identifier.journal IEEE Ecuador Technical Chapters Meeting, ETCM en_PE
dc.identifier.scopus 2-s2.0-85007014936


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