Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Static Parameter Detection and Identification of Power Grid Branch Based on PMU Measurement

Authors
Yunfeng Cui
Corresponding Author
Yunfeng Cui
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.56How to use a DOI?
Keywords
static parameter; detection and identification; partition; local identification
Abstract
With the wide coverage of the WAMS in power system, it is possible to detect the static parameters of power grid branch with PMU measurement. The paper presents a method, that is ,by the reformation of state space and linear static state estimation. To improve branch parameter computation redundancy, KCL equations are added to the measurement equation which is presented in parameter space. Through a combination of global detection and local identification, combined with much statistical analysis of measurement profiles, the adverse effects brought by the lack of precision of PMU measurement can be minimized. Finally, a New England 39 buses test system and a practical example are presented to verify the effectiveness of the proposed algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yunfeng Cui
PY  - 2017/01
DA  - 2017/01
TI  - Static Parameter Detection and Identification of Power Grid Branch Based on PMU Measurement
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 313
EP  - 318
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.56
DO  - https://doi.org/10.2991/icmmita-16.2016.56
ID  - Cui2017/01
ER  -