Fuzzy coordination of economy, security and quality in power system generation control

T. Maekawa; K. Yasuda; R. Yokoyama; H. Ohtsuki; Y. Mizukami

Fuzzy coordination of economy, security and quality in power system generation control

T. Maekawa, K. Yasuda, R. Yokoyama, H. Ohtsuki, Y. Mizukami

Research output: Contribution to journal › Article › peer-review

Abstract

The introduction of a fuzzy coordination technique into determination of the optimal operation of an electric power system is discussed. A new evolution index for automatic frequency control (AFC) regulation capacity margin is proposed. The authors clarify the effectiveness of the technique for ensuring AFC regulation capacity margin based on the fuzzy coordination technique with consideration given to economy and security. The technique is applied to a test system to make its validity explicit.

Original language	English
Pages (from-to)	174-179
Number of pages	6
Journal	Unknown Journal
Issue number	336
Publication status	Published - 1991

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "Fuzzy coordination of economy, security and quality in power system generation control",

abstract = "The introduction of a fuzzy coordination technique into determination of the optimal operation of an electric power system is discussed. A new evolution index for automatic frequency control (AFC) regulation capacity margin is proposed. The authors clarify the effectiveness of the technique for ensuring AFC regulation capacity margin based on the fuzzy coordination technique with consideration given to economy and security. The technique is applied to a test system to make its validity explicit.",

author = "T. Maekawa and K. Yasuda and R. Yokoyama and H. Ohtsuki and Y. Mizukami",

year = "1991",

language = "English",

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journal = "Nuclear Physics A",

issn = "0375-9474",

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AU - Maekawa, T.

AU - Yasuda, K.

AU - Yokoyama, R.

AU - Ohtsuki, H.

AU - Mizukami, Y.

PY - 1991

Y1 - 1991

N2 - The introduction of a fuzzy coordination technique into determination of the optimal operation of an electric power system is discussed. A new evolution index for automatic frequency control (AFC) regulation capacity margin is proposed. The authors clarify the effectiveness of the technique for ensuring AFC regulation capacity margin based on the fuzzy coordination technique with consideration given to economy and security. The technique is applied to a test system to make its validity explicit.

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