• 조명전기설비학회논문지
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• 제17권3호
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• pp.95-102
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• 2003

전선착설로 인한 전력설비에의 피해를 방지하기 위하여, 전선착설을 예측하고 적절한 전선착설 방지대책을 제시하는 것은, 전선착설로 인한 피해 발생의 가능성과 전력계통의 안정적 운영의 양 측면을 동시에 고려하여야 하기 때문에 고도한 판단과 결단이 필요한 문제로써, 지식공학적 수법을 적용하는 것이 매우 효과적인 분야이다. 이에 따라, 전선착설의 예측과 방지대책 수립에 관련된 경험적 지식을 지식베이스화하여 전문가 시스템을 구축하고, 사례 데이터를 이용한 시뮬레이션을 통하여 제안 기법의 유효성을 확인하였다.

• 제어로봇시스템학회논문지
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• 제9권10호
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• pp.782-788
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• 2003

Making deicing countermeasure plan against snow accretion on power line is a very complicated problem, which should take into account both the possibility of accidents due to snow accretion on power line and the stable operation of power system. As knowledge engineering can be a good solution to this field of problems, a prototype expert system to assist power system operators in forecasting snow accretion on power lines and making a list of all the feasible and effective deicing countermeasures has been developed. The system has been remodelled into a fuzzy expert system by adopting fuzzy rulebase and fuzzy inference method to systematically process the fuzziness included in the heuristic knowledges. Simulation results based on the past snow accretion accident data show that the proposed system is very promising.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.193-195
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• 1992

Snow accretion on transmission lines may cause critical accidents such as sleet jump, tower collpases, etc,. In order to assist power system operators to prevent thses accidents, aprototype expert system had been developed. The system has basic functions of forecasting snow accretion on transmission lines and making a list of all feasible and effective deicing countermeasures. The knowledge of the effect of weather conditions on the snow accretion process continue main rule base. Simulation results show that the proposed system is very promising.