Abstract
Snow accretion on transmission lines in heavy snowfall areas may cause critical accidents such as tower collapses, sleet jumps, etc., There are several deicing countermeasures of loading large currents to melt snow or ice on transmission lines by dissipating heats. To assist power system operators in making plan of deicing countermeasures against these accidents, a prototype expert system had been developed. The system forecasts snow accretion on transmission lines from meteorological data and power system operational data and makes a list of all the feasible and effective deicing countermeasures.
As an effort to construct a more practical system, this paper analyzes the simulation results, which are made by using the meteorological data collected from the real accidents caused by snow accretion on transmission lines in southern part of Hokkaido area during past 10 years. The simulation results show the rulebase of the system is very effective and they can be improved further by introduction of fuzzy inference. An approach to generate the membership function of the fuzzy production rules and to analyze the fuzzy inference result is proposed too.
