Abstract
This paper presents a study and the obtained results on the performance optimization of a large refrigeration system in steady state conditions. It is shown that, by using adequate knowledge on plant operation, the plant wide performance can be optimized with respect to a small set of variables. For this purpose, an appropriate performance function is defined. A derivative free optimization technique based on the invasive weed optimization (IWO) algorithm has been used to optimize the parameters of the local controllers in the system. The performance of the IWO algorithm, both in terms of optimality of the results and speed of convergence, is compared with particle swarm optimization (PSO) algorithm. Simulation results have been used to validate the proposed approach.
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Acknowledgments
The authors thank Dr. Roozbeh Izadi-Zamanabadi, for support in sstem description and problem formulation.
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Razavi-Far, R., Palade, V., Sun, J. (2013). Optimizing the Performance of a Refrigeration System Using an Invasive Weed Optimization Algorithm. In: Hatzilygeroudis, I., Palade, V. (eds) Combinations of Intelligent Methods and Applications. Smart Innovation, Systems and Technologies, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36651-2_5
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DOI: https://doi.org/10.1007/978-3-642-36651-2_5
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