| Transmission Congestion Management Based on Power Influence Coefficient |
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| 引用本文： | LI Chun-yan,YU Ji-hui,ZHANG Qian. Transmission Congestion Management Based on Power Influence Coefficient[J]. 保鲜与加工, 2007, 0(3): 31-35 |
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| 作者姓名： | LI Chun-yan YU Ji-hui ZHANG Qian |
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| 作者单位： | Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing University, Chongqing 400030, China |
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| 摘 要： | Basing eliminating on the idea that the generator who has the most influence on the power flow of line is mostly in favor of transmission congestion, the model of congestion management with the object of minimizing adjustments of bufions varied with generation outputs is proposed. It can eliminate the congestion effectively by judging the generators who should be adjusted and the amounts of adjustment. The test on IEEE-RTS24 buses system and other practical systems show that the proposed method is effective.
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| 关 键 词： | electricity markets transmission congestion management polynomial regression power influence coefficient |
| 修稿时间： | 2006-11-06 |
Transmission Congestion Management Based on Power Influence Coefficient |
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| LI Chun-yan,YU Ji-hui,ZHANG Qian. Transmission Congestion Management Based on Power Influence Coefficient[J]. Storage & Process, 2007, 0(3): 31-35 |
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| Authors: | LI Chun-yan YU Ji-hui ZHANG Qian |
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| Affiliation: | Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing University, Chongqing 400030, China |
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| Abstract: | Basing eliminating on the idea that the generator who has the most influence on the power flow of line is mostly in favor of transmission congestion, the model of congestion management with the object of minimizing adjustments of bufions varied with generation outputs is proposed. It can eliminate the congestion effectively by judging the generators who should be adjusted and the amounts of adjustment. The test on IEEE-RTS24 buses system and other practical systems show that the proposed method is effective. |
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| Keywords: | electricity markets transmission congestion management polynomial regression power influence coefficient |
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