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Content Provider | IEEE Xplore Digital Library |
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Author | En Lu Ning Wang Zhijun Qin Haoming Liu Yunhe Hou |
Copyright Year | 2013 |
Description | Author affiliation: Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China (En Lu) || Guangdong Power Grid Dispatching & Commun. Center, Guangzhou, China (Ning Wang) || Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China (Zhijun Qin; Haoming Liu; Yunhe Hou) |
Abstract | The restoration of a power system after a black-out mainly includes following stages of black-start, network reconfiguration, and load restoration. The fast cut back (FCB) function of thermal power units assures the operation of auxiliary equipments after a power network black-out, which is helpful in black-start. This paper establishes a steady-state model of FCB units at the stage of black-start. Based on the established FCB unit model, an optimization mathematical model to maximize the total power generator output is constructed to get the optimal start-up sequence of units. A simplified algorithm is presented to solve this model. Considering the charging-time constraints of line branches, the obtained start-up sequence of units is corrected using the shortest path algorithm to get the start-up path of units. Case studies on the New England 10-unit 39-bus power system are given. The results indicate that FCB units make for power system restoration. |
Sponsorship | IEEE Power Energy Soc. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 152232 |
Page Count | 5 |
File Format | |
ISBN | 9781479913039 |
ISSN | 19449925 |
DOI | 10.1109/PESMG.2013.6672640 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-21 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Power grids Steady-state Power system restoration Power generation Time factors Load modeling Unit start-up Area method FCB Multi-stage decision optimization |
Content Type | Text |
Resource Type | Article |
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