An Algorithm For Mixed-Integer Optimal Control Of Solar Thermal Climate Systems With Mpc-Capable Runtime

2018 EUROPEAN CONTROL CONFERENCE (ECC)(2018)

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摘要
This work presents an algorithm for solution of Mixed-Integer Optimal Control Problems (MIOCPs) for Solar Thermal Climate Systems (STCSs) with MPC-capable runtime. We implement the so-called Combinatorial Integral Approximation (CIA) algorithm for a model of an STCS of a building that incorporates an adsorption cooling machine and apply the algorithm within a numerical case study to solve a Mixed-Integer Non-Linear Program (MINLP) resulting from an MIOCP for the system. We compare the results of the CIA algorithm to those of a general MINLP solver and show that our algorithm achieves comparable solution quality at a runtime that is up to 1000 times smaller.
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关键词
MPC-capable runtime,Combinatorial Integral Approximation algorithm,adsorption cooling machine,Mixed-Integer NonLinear Program,MIOCP,CIA algorithm,Solar Thermal Climate Systems,Mixed-Integer Optimal Control Problems
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