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Your search keyword '"Masuta, Taisuke"' showing total 118 results
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118 results on '"Masuta, Taisuke"'

39. H2 output regulation approach to LFC with trended load variation

Author

Kou Yamada, Fuga Miyamoto, Masuta Taisuke, Akira Kojima, Abdus Samad Kamal, and Kotaro Hashikura

Subjects
0209 industrial biotechnology, Wind power, Computer science, business.industry, 020208 electrical & electronic engineering, Automatic frequency control, 02 engineering and technology, Variation (game tree), Power (physics), Renewable energy, 020901 industrial engineering & automation, Control theory, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, business
Abstract

Solar and wind powers involve ramp and short-term oscillating components in their wave forms. As those renewables are penetrated into power supply systems, LFC (Load Frequency Control) is anticipated to cope with load demands accompanying such trend components. This paper designs an LFC controller which removes the deviating effect of the ramp trend component in view of the output regulation theory. We adopt a recently proposed design method of H2 output regulation control, and describe how that general design method suits the present LFC problem. A comparative simulation is presented in order to illustrate the effectiveness of taking account of the ramp trend component.

Published
2019

48. On implementations of H2 preview output feedback law with application to LFC with load demand prediction.

Author

Hashikura, Kotaro, Hotchi, Ryo, Kojima, Akira, and Masuta, Taisuke

Subjects
FORECASTING, STATISTICAL weighting, DEMAND forecasting, PSYCHOLOGICAL feedback
Abstract

This paper addresses a continuous-time H 2 preview control problem in output feedback setting. By a state transformation approach, it is shown that the optimal output feedback law is implemented in two different ways. The first and second implementations have the structures similar to the Smith and observer-based predictors for input-delay systems, respectively. In order to illustrate the features of the optimal control law, we design an Load Frequency Control system, which utilises load demand prediction. Although the accompanying prediction error obstacles the performance improvement, it is demonstrated that the adverse effect is mitigated by the weighting function technique. [ABSTRACT FROM AUTHOR]

Published
2020
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