Abstract
This paper presents a new approach for wide area dynamic monitoring of the system with many possible applications. One such application is discussed to provide real time stability controls. The new approach utilizes a substation based dynamic state estimation. The substation based dynamic state estimation uses data from relays, PMUs, meters, FDRs etc in the substation only thus avoiding all issues associated with transmission of data and associated time latencies. The substation based dynamic state estimator provides accurate representation of the dynamic state of the system. The dynamic state estimator runs at rates comparable to the suggested rates in the synchrophasors standard C37.118. Presently it has been implemented to execute 10 times per second thus providing the dynamic state of the substation 10 times per second. The results of the substation based dynamic state estimator are transmitted to a central location for monitoring the dynamic state of the system. A major advantage is the fact that only the dynamic state of the substation is transmitted instead of the raw PMU data that typical wide area monitoring implementations use. Note that the data describing the dynamic state is much less that the raw data of the PMUs. This fact facilitates the speedier transmission of the data in addition to the advantage of a more accurate dynamic state as opposed to the raw data. This infrastructure can be used for a number of applications. The paper focuses on transient stability monitoring, identification of out of step conditions and control. We propose an approach that is based on accurate evaluation of the system energy function (Lyapunov indirect method) and extraction of stability properties from the energy function. Specifically, we provide a methodology for determining the required data accuracy for the reliable real time estimation of the energy function. When the data meet these requirements, the estimated energy function can be visualized and animated providing a powerful visual tool for observing the transient stability or instability of the system. The infrastructure of the substation based dynamic state estimator provides the required accuracy and the ability to predict instabilities before they occur.
| Original language | English |
|---|---|
| Title of host publication | 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010 |
| DOIs | |
| Publication status | Published - 2010 Oct 25 |
| Externally published | Yes |
| Event | 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010 - Rio de Janeiro, Brazil Duration: 2010 Aug 1 → 2010 Aug 6 |
Publication series
| Name | 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010 |
|---|
Conference
| Conference | 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010 |
|---|---|
| Country | Brazil |
| City | Rio de Janeiro |
| Period | 10/8/1 → 10/8/6 |
Fingerprint
Keywords
- Data accuracy
- Energy function
- GPS-synchronization
- PMU
- Transient stability
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Control and Systems Engineering
Cite this
Wide area dynamic monitoring and stability controls. / Meliopoulos, Sakis; Cokkinides, George; Huang, Renke; Farantatos, Evangelos; Choi, Sungyun; Lee, Yonghee.
2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010. 2010. 5563253 (2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Wide area dynamic monitoring and stability controls
AU - Meliopoulos, Sakis
AU - Cokkinides, George
AU - Huang, Renke
AU - Farantatos, Evangelos
AU - Choi, Sungyun
AU - Lee, Yonghee
PY - 2010/10/25
Y1 - 2010/10/25
N2 - This paper presents a new approach for wide area dynamic monitoring of the system with many possible applications. One such application is discussed to provide real time stability controls. The new approach utilizes a substation based dynamic state estimation. The substation based dynamic state estimation uses data from relays, PMUs, meters, FDRs etc in the substation only thus avoiding all issues associated with transmission of data and associated time latencies. The substation based dynamic state estimator provides accurate representation of the dynamic state of the system. The dynamic state estimator runs at rates comparable to the suggested rates in the synchrophasors standard C37.118. Presently it has been implemented to execute 10 times per second thus providing the dynamic state of the substation 10 times per second. The results of the substation based dynamic state estimator are transmitted to a central location for monitoring the dynamic state of the system. A major advantage is the fact that only the dynamic state of the substation is transmitted instead of the raw PMU data that typical wide area monitoring implementations use. Note that the data describing the dynamic state is much less that the raw data of the PMUs. This fact facilitates the speedier transmission of the data in addition to the advantage of a more accurate dynamic state as opposed to the raw data. This infrastructure can be used for a number of applications. The paper focuses on transient stability monitoring, identification of out of step conditions and control. We propose an approach that is based on accurate evaluation of the system energy function (Lyapunov indirect method) and extraction of stability properties from the energy function. Specifically, we provide a methodology for determining the required data accuracy for the reliable real time estimation of the energy function. When the data meet these requirements, the estimated energy function can be visualized and animated providing a powerful visual tool for observing the transient stability or instability of the system. The infrastructure of the substation based dynamic state estimator provides the required accuracy and the ability to predict instabilities before they occur.
AB - This paper presents a new approach for wide area dynamic monitoring of the system with many possible applications. One such application is discussed to provide real time stability controls. The new approach utilizes a substation based dynamic state estimation. The substation based dynamic state estimation uses data from relays, PMUs, meters, FDRs etc in the substation only thus avoiding all issues associated with transmission of data and associated time latencies. The substation based dynamic state estimator provides accurate representation of the dynamic state of the system. The dynamic state estimator runs at rates comparable to the suggested rates in the synchrophasors standard C37.118. Presently it has been implemented to execute 10 times per second thus providing the dynamic state of the substation 10 times per second. The results of the substation based dynamic state estimator are transmitted to a central location for monitoring the dynamic state of the system. A major advantage is the fact that only the dynamic state of the substation is transmitted instead of the raw PMU data that typical wide area monitoring implementations use. Note that the data describing the dynamic state is much less that the raw data of the PMUs. This fact facilitates the speedier transmission of the data in addition to the advantage of a more accurate dynamic state as opposed to the raw data. This infrastructure can be used for a number of applications. The paper focuses on transient stability monitoring, identification of out of step conditions and control. We propose an approach that is based on accurate evaluation of the system energy function (Lyapunov indirect method) and extraction of stability properties from the energy function. Specifically, we provide a methodology for determining the required data accuracy for the reliable real time estimation of the energy function. When the data meet these requirements, the estimated energy function can be visualized and animated providing a powerful visual tool for observing the transient stability or instability of the system. The infrastructure of the substation based dynamic state estimator provides the required accuracy and the ability to predict instabilities before they occur.
KW - Data accuracy
KW - Energy function
KW - GPS-synchronization
KW - PMU
KW - Transient stability
UR - http://www.scopus.com/inward/record.url?scp=77958031765&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77958031765&partnerID=8YFLogxK
U2 - 10.1109/IREP.2010.5563253
DO - 10.1109/IREP.2010.5563253
M3 - Conference contribution
AN - SCOPUS:77958031765
SN - 9781424474677
T3 - 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010
BT - 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII, IREP2010
ER -