DocumentCode :
645713
Title :
Evaluating the ability of hydroelectric power generation for controlling frequency with a large introduction of wind power generation
Author :
Matsumoto, Yuki ; Hayashi, Yasuhiro ; Tanaka, T.
Author_Institution :
Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan
fYear :
2013
fDate :
22-24 Sept. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Congestion management of power flow in transmission lines using hydroelectric power generation is examined in the scenario where new wind power generation is installed in a power grid. A method is proposed for determining the optimal dispatch of generation output that maximizes transmission margin and minimizes transmission loss under the constraint that the frequency variation is kept within a tolerable frequency range. The optimal dispatch of generation output is determined by optimal power flow calculations based on particle swarm optimization. To check the validity of the proposed method, numerical simulations are carried out on EAST 30-machine 117-bus system of an Institute of Electrical Engineers of Japan. The effectiveness of the proposed method is demonstrated by the results of simulations. Basic analysis of which generators should be utilized to output how much power is performed based on these results.
Keywords :
frequency control; hydroelectric power stations; numerical analysis; particle swarm optimisation; power generation dispatch; power grids; power transmission lines; EAST 30-machine 117-bus system; Institute of Electrical Engineers of Japan; congestion management; frequency control; frequency variation; hydroelectric power generation; numerical simulations; optimal dispatch; optimal power flow; particle swarm optimization; power grid; transmission lines; wind power generation; Frequency control; Generators; Hydroelectric power generation; Load flow; Power transmission lines; Propagation losses; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2013
Conference_Location :
Manhattan, KS
Type :
conf
DOI :
10.1109/NAPS.2013.6666863
Filename :
6666863
Link To Document :
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