A wide area monitoring system based load restoration method

Liu, Weijia, Lin, Zhenzhi, Wen, Fushuan, & Ledwich, Gerard (2013) A wide area monitoring system based load restoration method. IEEE Transactions on Power Systems, 28(2), pp. 2025-2034.

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Restoring a large-scale power system has always been a complicated and important issue. A lot of research work has been done on different aspects of the whole power system restoration procedure. However, more time will be required to complete the power system restoration process in an actual situation if accurate and real-time system data cannot be obtained. With the development of the wide area monitoring system (WAMS), power system operators are capable of accessing to more accurate data in the restoration stage after a major outage. The ultimate goal of the system restoration is to restore as much load as possible while in the shortest period of time after a blackout, and the restorable load can be estimated by employing WAMS. Moreover, discrete restorable loads are employed considering the limited number of circuit-breaker operations and the practical topology of distribution systems. In this work, a restorable load estimation method is proposed employing WAMS data after the network frame has been reenergized, and WAMS is also employed to monitor the system parameters in case the newly recovered system becomes unstable again. The proposed method has been validated with the New England 39-Bus system and an actual power system in Guangzhou, China.

Impact and interest:

5 citations in Scopus
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9 citations in Web of Science®

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ID Code: 59089
Item Type: Journal Article
Refereed: Yes
Keywords: Load restoration, Power system restoration, Restorable load estimation, Wide area monitoring system (WAMS)
DOI: 10.1109/TPWRS.2013.2249595
ISSN: 0885-8950
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 16 Apr 2013 22:52
Last Modified: 27 Sep 2013 00:05

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