DocumentCode :
2888777
Title :
A Corrosion Diagnosis Approach for Grounding Grids Based on Tabu Search Algorithm
Author :
Liu, Jian ; Wang, Jian-xin ; Wang, Sen
Author_Institution :
Electr. & Control Eng. Coll., Xi´´an Univ. of Sci. & Technol.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
1088
Lastpage :
1091
Abstract :
In order to detect the corrosion of grounding grids, a corrosion diagnosis approach based on Tabu search (TS) algorithm is put forward. A grounding grid is excited between couples of touchable nodes by a current source. Some voltages of touchable nodes are measured in each excitation. Minimizing the energy of the error between testing voltages and evaluation voltages is used as the index. The designed values of branches are used as the initial values. A Tabu list is formed for the branches. In each step of iteration, the resistance of each branch is increased and decreased with a certain value, respectively, forming a set of neighborhood. The aspiration criterion and stop criterion are adopted. An experimental grounding grid with sixty branches is used as an example to show the feasibility of the proposed approach. It is also shown that the proposed approach has the advantage of less sensitivity to testing errors
Keywords :
corrosion; earthing; fault diagnosis; optimisation; search problems; Tabu list; Tabu search algorithm; aspiration criterion; corrosion detection; corrosion diagnosis approach; energy minimization; grounding grid; stop criterion; testing error; touchable node; Corrosion; Current measurement; Cybernetics; Electrical resistance measurement; Grounding; Iterative algorithms; Machine learning; Machine learning algorithms; Nonlinear equations; Power systems; Testing; Voltage; Grounding grids; Tabu search algorithm; corrosion; diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258565
Filename :
4028225
Link To Document :
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