Goro Shirai
Hosei University
50 Papers
152 Citations
Goro Shirai is an academic researcher from Hosei University. The author has contributed to research in topics: Electric power system & Automatic frequency control. The author has an hindex of 7, co-authored 50 publications. Previous affiliations of Goro Shirai include Tokyo Metropolitan University.
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Papers
Robust thyristor-controlled series capacitor controller design based on linear matrix inequality for a multi-machine power system
TL;DR: In this paper, robust thyristor-controlled series capacitor (TCSC) controllers are applied to suppress disturbances in realistic power systems, where load changes are treated as a system uncertainty in the linear matrix inequality (LMI) approach.
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Automatic generation control for DC-link power system
Goro Fujita,Goro Shirai,R. Yokoyama +2 more
- 01 Dec 2002
TL;DR: In this article, the authors discuss how a HVDC-connected system works to improve frequency fluctuation for random load disturbance in 2-area and 3-area network systems.
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Decentralized load frequency based on H∞ control
TL;DR: In this paper, a decentralized load frequency control (LFC) based on H∞ optimal control theory with an observer was proposed, which requires only frequency and tie-line power deviation in each area.
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Decentralized Exciter Stabilizing Control for Multi-Machine Power Systems
Abstract: In this paper, a systematic approach to design controllers based on H‐infinity theory for a multimachine power system is presented. Generally, a centralized control scheme is difficult for a large‐scale interconnected power system because of the necessity of obtaining information on the whole system, computation times, and so on. In order to handle these problems, two decentralized control schemes are proposed. One is based on the decomposition of information. The feedback gains for the whole system are obtained, and after decomposing the gains into subblocks for each area, the diagonal block is used to design the controller for each generator. The other is based on area decompositions. The procedure is carried out by decomposing the original system into blocks for each area and the local feedback gain is obtained by using information for each decomposed system. Furthermore, to improve the robustness of the system, an effective weighting matrix design, which involves the allocation of eigenvalues, is also proposed. Several simulation tests show the effectiveness of the proposed methods. © 2002 Scripta Technica, Electr Eng Jpn, 139(1): 35–43, 2002; DOI 10.1002/eej.1144
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