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Your search keyword '"Shimoo, Takahiro"' showing total 8 results
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8 results on '"Shimoo, Takahiro"'

1. Accuracy Evaluation of Power Grid Reduction Method Utilizing Differential Evolution under the Condition of Increasing Renewables Deployment

Author

Kimura Misao, Ishihara Yuji, Shimoo Takahiro, and Maeda Takafumi

Subjects
Reduction (complexity), Software deployment, Computer science, business.industry, Differential evolution, Energy Engineering and Power Technology, Power grid, Electrical and Electronic Engineering, business, Automotive engineering, Renewable energy
Published
2019
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3. Estimation method for distribution network voltage utilizing smart meter measurements

Author

Kazunori Iwabuchi, Takeshi Kaneko, and Shimoo Takahiro

Subjects
Electric power distribution, Engineering, Distribution networks, business.industry, Smart meter, Electrical engineering, Electronic engineering, Voltage regulation, Voltage optimisation, business, Renewable energy, Voltage
Abstract

Penetration of renewable energy sources in distribution network is accelerating in recent years, and it becomes more important to supervise voltage fluctuations in distribution lines. Meanwhile, there are projections to deploy smart meters at each customer site in many regions, and it is expected that smart meter measurements are effectively utilized. In order to monitor the distribution line voltage, we proposed an estimation method for distribution network voltage utilizing smart meter measurements, whose feature is a capability to reduce the estimation errors against distribution line parameter uncertainties. The effectiveness of the estimation method was confirmed by simulations.

Published
2014
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8. Effect of PV Output and Load Power Forecast Error on Operation Design of PV System with Storage Battery.

Author

Hayashi, Takayoshi, Shimoo, Takahiro, and Wakao, Shinji

Subjects
*PHOTOVOLTAIC power generation, *ELECTRIC power factor, *STORAGE batteries, *ERROR analysis in mathematics, *ELECTRICAL load, *ENVIRONMENTAL impact analysis
Abstract

SUMMARY In the past, we have proposed battery operations in a photovoltaic (PV) system using PV output and load power forecasts. In the proposed method, we utilized multiobjective optimization for a residential area model that includes a large number of PV systems with storage batteries. To practically demonstrate that the proposed operation effectively improves economic and environmental efficiency, it is indispensable to evaluate the effects of forecast error on the operation design of a PV system with storage battery. In this paper, we propose a method for evaluating the robustness of battery operation taking account of the statistical characteristics of forecast errors. Some numerical examples, which show the validity of the proposed method, are also presented. [ABSTRACT FROM AUTHOR]

Published
2015
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