Optimal Distribution Automation Planning Method Based on Data Mining on Structure Features of Distribution Feeders
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Abstract
Construction mode selection is a key but subjective experience relayed problem to be solved in distribution automation planning. In this paper, an optimal planning method, based on the data mining on association rules between the features of a feeder and its construction mode of distribution automation, is proposed. In this method, the network topology, load distribution and reliability status of a feeder are considered, and thus the corresponding relationship between the line features and construction mode of distribution automation can be established. Therefore, the limitation of traditional method caused by the large scale of the distribution network can be broken through, and the formation of distribution automation planning technique principle can be established on optimum in both reliability and economy. The analysis result based on the actual distribution network indicates the proposed method to be effective.
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