基于盲源分离技术的电力用户负荷曲线估计

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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.

Key words： Blind source separation(BSS) independent component analysis Kernel independent component analysis load profile estimation active power

Received: 21 March 2008 Published: 17 February 2014

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TM77

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	Liu Yu
	Wei Qi
	Wei Xinlao

Cite this article:

Liu Yu,Wei Qi,Wei Xinlao. Electric Power Load Profile Estimation Based on Blind Source Separation[J]. Transactions of China Electrotechnical Society, 2009, 24(10): 160-164.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2009/V24/I10/160

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