| Abstract:Due to the redundancy of internal and external environmental characteristics of transmission lines, if the influence of external environmental characteristics on line losses is ignored, it is difficult to obtain the correlation between influencing factors, resulting in significant deviation in line loss prediction results. Therefore, a phased adaptive fast prediction method for line loss based on grey correlation and sparrow search algorithm is proposed. Construct two types of line loss influencing factors, internal and external, using grey correlation analysis method. By calculating the grey correlation coefficient of the data column form, obtain the correlation degree of each influencing factor, cluster and analyze the phased line loss characteristics, and introduce sparrow search algorithm to achieve self adaptive and fast line loss prediction. The experimental results show that after the application of the proposed method, the line loss electricity is highly consistent with the actual results, and the accuracy of the predicted results is high, meeting the practical needs of resource optimization allocation. |
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