DocumentCode :
494989
Title :
Optimization of Networks Impedance Identification Based on Hybrid Genetic Algorithm
Author :
Liu, Yong-Xin ; Zou, Ping-Hua
Author_Institution :
Sch. of Municipal & Environ. Eng., Harbin Inst. of Technol., Harbin, China
Volume :
3
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
138
Lastpage :
141
Abstract :
Based on matrix equations of spatial heating networks hydraulic calculation method, impedance identification equation is proposed which can be transformed into optimization problem solved by hybrid genetic algorithm. Then, impedance identification results of different numbers of operational conditions are quantitative compared by evaluation function values, which can be used to obtain the optimal number of operational conditions when the number of pressure measurement nodes is fixed. For the actual pressure measurement data has error, they are replaced by hydraulic calculation numerical simulation results to obtain more accurate identification comparison results. The above optimal processes are verified in case study and can be applied to actual heating networks.
Keywords :
district heating; genetic algorithms; identification; matrix algebra; numerical analysis; pressure measurement; district heating networks; hybrid genetic algorithm; matrix equations; networks impedance identification optimisation; numerical simulation; pressure measurement nodes; spatial heating networks hydraulic calculation method; Computer networks; DH-HEMTs; Genetic algorithms; Heat engines; Heating; Impedance measurement; Nonlinear equations; Numerical simulation; Optimization methods; Pressure measurement; conditions optimization; hybrid genetic algorithm; impedance identification; numerical simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.240
Filename :
5168823
Link To Document :
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