joint filter approach reliable power system state estimation

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Abstract: 

This is the Smulation Data for Power System State Estimation.

Instructions: 

 The data and code should be used in Matlab.

Comments

We add a new test under the condition that the initial static states and initial dynamic states are not accurately known. And the process noise variance and measurement noise variance are also increased to 10^(-4) . Please see in ZIP file. 

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Dataset Details

Citation Author(s):
Yang Yu, Zhongjie Wang, Chengchao Lu
Submitted by:
Yang Yu
Last updated:
Fri, 03/09/2018 - 08:23
DOI:
10.21227/H2M634
Data Format:
 
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[1] Yang Yu, Zhongjie Wang, Chengchao Lu, "joint filter approach reliable power system state estimation", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2M634. Accessed: Jun. 24, 2018.
@data{h2m634-17,
doi = {10.21227/H2M634},
url = {http://dx.doi.org/10.21227/H2M634},
author = {Yang Yu; Zhongjie Wang; Chengchao Lu },
publisher = {IEEE Dataport},
title = {joint filter approach reliable power system state estimation},
year = {2017} }
TY - DATA
T1 - joint filter approach reliable power system state estimation
AU - Yang Yu; Zhongjie Wang; Chengchao Lu
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2M634
ER -
Yang Yu, Zhongjie Wang, Chengchao Lu. (2017). joint filter approach reliable power system state estimation. IEEE Dataport. http://dx.doi.org/10.21227/H2M634
Yang Yu, Zhongjie Wang, Chengchao Lu, 2017. joint filter approach reliable power system state estimation. Available at: http://dx.doi.org/10.21227/H2M634.
Yang Yu, Zhongjie Wang, Chengchao Lu. (2017). "joint filter approach reliable power system state estimation." Web.
1. Yang Yu, Zhongjie Wang, Chengchao Lu. joint filter approach reliable power system state estimation [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2M634
Yang Yu, Zhongjie Wang, Chengchao Lu. "joint filter approach reliable power system state estimation." doi: 10.21227/H2M634