Loading…
Fast decoupled state estimation including thyristor controlled series compensator devices
This paper extends the weighted-least-square state estimation (WLS-SE) formulation to enable the solution of networks with embedded thyristor-controlled series compensation (TCSC). In the proposed methodology, the TCSCs reactances are treated as new state variables along with the complex voltage at...
Saved in:
Published in: | Electric power systems research 2022-12, Vol.213, p.108439, Article 108439 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | This paper extends the weighted-least-square state estimation (WLS-SE) formulation to enable the solution of networks with embedded thyristor-controlled series compensation (TCSC). In the proposed methodology, the TCSCs reactances are treated as new state variables along with the complex voltage at the network nodes. Information regarding the specified active power flow through transmission lines connected to TCSCs and net power injection at their connecting nodes are strategically modeled as new active and reactive pseudo-measurements to be included into both: the linear and the fast-decoupled WLS-SE problem. Applications of the proposed extension in connection with the exact solution of a TCSC embedded power flow algorithm are presented and discussed. The IEEE 14- and 118-bus test systems are employed to illustrate and evaluate the proposed approach. The results point out that the new tool is effective to accurately estimate the system states and the control parameters of the TCSCs under distinct operating conditions.
•Extended fast-decoupled WLS formulation with embedded TCSC for state estimation.•Innovative TCSC real-time steady-state modeling: linear and non-linear approaches.•Estimation of TCSC parameters for real-time power system operation.•Accurate and low-cost computational tool to evaluate large scale power networks. |
---|---|
ISSN: | 0378-7796 1873-2046 |
DOI: | 10.1016/j.epsr.2022.108439 |