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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhang, Lin Chen, Heng Martin, Kenneth Faris, Anthony Vutsinas, Megan Bradberry, Tim Phillips, Evan Jaradeh, Backer Abu Bui, Josh |
| Abstract | The US power industry has been pushing forward the adoption of synchrophasor technology for wide-area monitoring and situational awareness. Many applications have been developed to take advantage of the GPS time-stamped synchrophasor data. Linear state estimator (LSE) is one of the recent developments in the synchrophasor industry that has been gradually accepted and adopted by several US utilities under pilot projects. This study is aimed to provide the insights of successful deployments at the utility level, and to present key applications and business values of using LSE. One major contribution of this study is that the LSE has been enhanced to a production-grade application for real-time operation at control centre. The other major contribution of this study is to demonstrate the benefits and use cases of the LSE application based on first-hand implementation and deployment experience at utilities. The LSE can (i) validate and condition phasor measurement unit data, (ii) provide an independent non-iterative state estimator (SE) to complement the SE in Energy Management System for situational awareness, data analytics and grid resiliency and (iii) expand synchrophasor measurement observability for down-stream synchrophasor applications. Several use cases are demonstrated in real time by pilot projects deployed at Bonneville Power Administration, Duke Energy, and Southern California Edison. LSE application's use cases and business values are presented to illustrate its successful deployment and operational experience in wide-area monitoring and situational awareness system. |
| Starting Page | 4476 |
| Ending Page | 4483 |
| Page Count | 8 |
| ISSN | 17518687 |
| Volume Number | 11 |
| e-ISSN | 17518695 |
| Issue Number | Issue 18, Dec (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/11/18 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.2028 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2017-04-25 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bonneville Power Administration Data Analytics Down-stream Synchrophasor Application Duke Energy Energy Management System Grid Resiliency Independent Noniterative State Estimator Linear State Estimator LSE Phasor Measurement Phasor Measurement Unit Power System Economics Power System Managemen Power System Measurement And Metering Power System Operation Power System State Estimation Production-grade Application Situational Awareness Projects Southern California Edison Synchrophasor Measurement Observability Wide-Area Monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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