Type of Material: | Thesis |
Title: | Automatic generation control of interconnected power systems using artificial neural network techniques |
Researcher: | Bangal, Balkrishna Charudatta |
Guide: | Ghodekar, J G |
Department: | Bharat University. Faculty of Engineering and Technology. Department of Electrical Engineering |
Publisher: | Bharath University |
Place: | Chennai |
Year: | May 2009 |
Language: | English |
Dissertation/Thesis Note: | PhD |
Fulltext: | Shodhganga |
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008 | __ | 100531t2009||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_257280 |
040 | __ | |aBHAU_600073|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aBangal, Balkrishna Charudatta|eResearcher |
110 | __ | |aBharat University. Faculty of Engineering and Technology. Department of Electrical Engineering|bBharath University|dChennai |
245 | __ | |aAutomatic generation control of interconnected power systems using artificial neural network techniques |
260 | __ | |aChennai|bBharath University|cMay 2009 |
502 | __ | |bPhD |
518 | __ | |oDate of Notification|d2009-05 |
520 | __ | |aIn an interconnected power system, any sudden small load perturbation in any of the interconnected areas causes the deviation of the area frequencies and also of the tie line powers. The main objectives of Automatic Generation Control (AGC) are: 1. To m |
700 | __ | |aGhodekar, J G|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/48|yShodhganga |
905 | __ | |anotification |
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