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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmita-16.2016.56
ID  - Cui2017/01
ER  -