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An estimation method of available transfer capabilities from viewpoint of power system transient stability under deregulated environment
Author(s) -
Ichikawa Tomohiko,
Ichiyanagi Katsuhiro,
Watanabe Reiji,
Yukita Kazuto,
Goto Yasuyuki,
Hoshino Yukio,
Yamamoto Nobuyuki,
Sugimoto Sigeyuki
Publication year - 2009
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.20781
Subject(s) - transient (computer programming) , reliability (semiconductor) , stability (learning theory) , electric power system , key (lock) , artificial neural network , process (computing) , computer science , maximum power transfer theorem , reliability engineering , transmission (telecommunications) , transfer (computing) , power (physics) , transmission system , engineering , power transmission , control engineering , artificial intelligence , telecommunications , machine learning , physics , computer security , quantum mechanics , parallel computing , operating system
To conduct electric power transactions effectively and to operate a power system efficiently while maintaining reliability under the deregulated environment, it is required that ATC (Available Transfer Capability) be calculated at high speed and with reasonable precision. In order to address this issue, in this paper, an Artificial Neural Network‐based estimation method for evaluating Maximum Transmission Capability (MTC), which is a key step but also a highly time consuming process in ATC, is proposed. It is confirmed through simulation studies that the proposed method is capable of estimating MTC (ATC) with high speed and sufficient precision. Furthermore, the authors examined the reduction of calculation time at learning by using the transient stability index. © 2009 Wiley Periodicals, Inc. Electr Eng Jpn, 167(1): 66–73, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20781