Affiliations: [a] State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Centre (State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment), Changsha, Hunan, China | [b] Tsinghua University, Beijing, China
Correspondence:
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Corresponding author: Jing Jing, State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Centre (State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment), Changsha, Hunan, China. E-mail: [email protected].
Abstract: This paper proposes a method for assessing the loss uncertainty of power system under complex conditions based on ontology. First, the mountain fire model and uncertainty analysis are carried out to estimate the influence of the mountain fire on the target area. We design the distributed rules of the power system elements of the network. It uses of weighting factors to get different important degree of elements in the power system. The theory of ontology is introduced to evaluate the loss uncertainty of grid system. Then the most sensitive factor for the loss will be determined. The simulation verify the performance of loss uncertainty of the power system, which demonstrate that it has improved by 34.5% accuracy and better effectiveness.
Keywords: Uncertainty, power system, ontology, mountain forest fire
