Simulation of the model predictive control applied to a combined cycle plant

Nieto-Chaupis, Huber; Carpio, Jorge Del

doi:10.1109/andescon.2016.7836243

Cited by 1 publication

(2 citation statements)

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“…A point of importance that should be stressed is that of the presence of instabilities as consequence of the interrelation of dynamic variables during the temporal evolution of the system and their associated random events. It is believed that variable interactions take place on multivariable systems and thus, is a potential source of instability [2]. In effect, as it is observed there the presence of variable interaction would led to unnecessary stops in plants.…”

Section: I1 Introductionmentioning

confidence: 99%

“…Then the system interaction term is expressed as convolution integral by allowing perform computational tests and simulations to validate the formalism. In order to illustrate all these ideas, the resulting computational simulations are confronted to acquired data from a combined cycle plant aimed to generate about 150 MW of power energy to a substantial portion of Lima city [2]. Mainly in this type of facilities the variable of central importance is that of the drum level which must be ranging in a small window of order of 1% of its nominal value in order to guarantee the stabilize of the engine dynamics appropriately.…”

Section: I1 Introductionmentioning

confidence: 99%

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Understanding Dynamics of Combined Cycles in Energy Plants with Theories of Variables Interaction: A pedagogical Approach to the Undergraduate Level of Engineering

Nieto-Chaupis¹

2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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In this note we present a pedagogical approach of variable interactions applied to a 2×2 MIMO system and its confrontation to acquired data from a combined cycle power plant, is studied. The Laplace space is used as a scenario to compute basic operations and subsequently the resulting relations are transformed in convolution integrals. The term responsible of interaction is then simulated and confronted to acquired data from dynamics variable of the power plant. Concretely, attention is paid to the drum level which turns out to be the variable of most importance inside the combined cycle power plant. Our approach is as a pedagogical introduction with a theoretical model sustained even for those cases where the temporal evolution of the drum level is notably affected by intrinsic fluctuations. Thus, a discrepancy between model and data results to be of order of 5%. It would suggest that the interaction variable formalism might be of interest to design model-based control theories which could be applied to those MIMO systems which are plagued of intrinsic and stochastic fluctuations.

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Section: I1 Introductionmentioning

confidence: 99%

Section: I1 Introductionmentioning

confidence: 99%