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slides
Particle filter approach to dynamic state estimation of generators in power systems
Authors
Kianoush Emami
Tyrone Fernando
+3 more
Herbert Ho-Ching Iu
Hieu Trinh
Kit Po Wong
Publication date
1 January 2015
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Cite
Abstract
Emami, K ORCiD: 0000-0001-5614-4861This paper presents a novel particle filter based dynamic state estimation scheme for power systems where the states of all the generators are estimated. The proposed estimation scheme is decentralized in that each estimation module is independent from others and only uses local measurements. The particle filter implementation makes the proposed scheme numerically simple to implement. What makes this method superior to the previous methods which are mainly based on the Kalman filtering technique is that the estimation can still remain smooth and accurate in the presence of noise with unknown changes in covariance values. Moreover, this scheme can be applied to dynamic systems and noise with both Gaussian and non-Gaussian distributions. © 1969-2012 IEEE
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