Abstract：Blind source separation(BSS) can be applied to estimate load profiles using only a small set of active line flow measurements without prior knowledge of the electric network model parameters or topology. In this paper Kernel independent component analysis is used to estimate electric load profiles which use contrast functions based on canonical correlations in a reproducing Kernel Hilbert space. The proposed approach is demonstrated for the IEEE-14 system to estimate eight active load profiles. The results from Kernel independent component analysis algorithm have lower estimation errors and larger correlation coefficients compared with those from independent component analysis algorithm.
刘瑜, 韦琦, 魏新劳. 基于盲源分离技术的电力用户负荷曲线估计[J]. 电工技术学报, 2009, 24(10): 160-164.
Liu Yu, Wei Qi, Wei Xinlao. Electric Power Load Profile Estimation Based on Blind Source Separation. Transactions of China Electrotechnical Society, 2009, 24(10): 160-164.
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