The Application of Fuzzy Pattern Fusion Based on Competitive Agglomeration in Coal-Fired Boiler Operation Optimization

Autor:	Jian Chu, Yongzai Lu, Hongye Su, Jining Jia
Rok vydání:	2015
Předmět:	Thermal efficiency Optimization problem Fuzzy clustering Pulverized coal-fired boiler business.industry Computer science Boiler (power generation) Thermal power station Process engineering business Sensor fusion Fuzzy logic
Zdroj:	Advances in Swarm and Computational Intelligence ISBN: 9783319204680 ICSI (3)
Popis:	In order to solve the coal-fired boiler operation optimization problem with multiple main controllable parameters, a fuzzy pattern fusion based on competitive agglomeration (FPF-CA) algorithm is developed and applied in this paper. A simplified mathematical model for coal-fired boiler systems is applied in terms of both historical operational and thermal efficiency data under different load conditions. The FPF-CA algorithm can be applied to perform information fusion in terms of combining fuzzy clusters of some quantitative attributes with generated quantitative association rules. The historical data collected from a 130/2.82-M circulating fluidized bed (CFB) boiler being installed in a production scale thermal power plant is used to specifically analyze, and the simulation experiment results show the application of FPF-CA algorithm is a decision oriented intelligent technology and may provide an efficient results for coal-fired boiler operation optimization in thermal power plant.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7f3c15b592e4cd3fcf9d3d5a2b40e7b8 https://doi.org/10.1007/978-3-319-20469-7_10 Zobrazit plný text záznamu