Optimization of Networks Impedance Identification Based on Hybrid Genetic Algorithm

被引：1
|
作者：
Liu, Yong-Xin [1 ]
Zou, Ping-Hua [1 ]
机构：
[1] Harbin Inst Technol, Sch Municipal & Environm Engn, Harbin 150006, Peoples R China
来源：
ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 3, PROCEEDINGS: APPLIED MATHEMATICS, SYSTEM MODELLING AND CONTROL | 2009年
关键词：
impedance identification; numerical simulation; hybrid genetic algorithm; conditions optimization; PARAMETER-ESTIMATION;
D O I：
10.1109/ICIC.2009.240
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：138 / 141
页数：4
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