A Project Assessment of Stabilizing System of WT Generation using Rechargeable Battery

Kojima, Yasuhiro; Takano, Tomihiro; Tanikawa, Ryoichi; Takagi, Tetsuro; Hirooka, Koutaro; Kumagai, Shinya

doi:10.1541/ieejeiss.128.191

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…As pointed out in previous studies, [35][36][37] errors of WF output forecast are distributed differently depending on the output band. Thus in this article, probability distributions are also estimated by the WF output band.…”

Section: Feature Imentioning

confidence: 71%

A Stochastic Scheduled Operation of Wind Farm Based on Scenarios of the Generated Power with Copula

et al. 2018

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Recently, the penetration of wind farm (WF) has been increasing because of the global warming and the lack of the fossil energy resource. However, WF output fluctuate due to the weather and the seasonality. Specially, the long-term fluctuation is called "Ramp event." It's difficult for WF output to dispatch to the power grid without controlling the ramp events. This article proposes the method of scheduled operation to mitigate the ramp events and reduce the imbalance energy with the stochastic programming. In this method, it's necessary to use the WF output scenarios. However, there has never been studied the method of generating scenarios with the temporal correlation so far. Therefore, we propose the production method of generating scenarios considering the temporal correlation with copula. Finally, this article shows the validity and the effectiveness of these methods through computational simulations using the integrated WF data of Tohoku area. K E Y W O R D Sbattery, copula, ramp event, scheduled operation, stochastic programming, wind power generation Electr Eng Jpn. 2018;205:41-54.

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Section: Feature Imentioning

confidence: 71%

A Stochastic Scheduled Operation of Wind Farm Based on Scenarios of the Generated Power with Copula

et al. 2018

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“…If confidence intervals can be estimated, minimum storage capacity can be estimated and low-risk schedule to sell the power to the electric power market can be planned [5,6]. If confidence intervals can be estimated, minimum storage capacity can be estimated and low-risk schedule to sell the power to the electric power market can be planned [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…There are two kinds of forecasting methods. Conventional studies to estimate the confidence intervals assumed the complex distribution of wind power [5] to be the normal distribution. It requires much time for calculation.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, storage batteries can reduce fluctuation of wind power, because the performance of batteries has been improved [2]. In particular, flat control of wind power by batteries according to schedule is one of the recent topics [3], because there is an electric power company that does not restrict interconnecting wind power to power systems [4], and wind power control by the method can be sold to the electric power market [5].…”

Section: Introductionmentioning

confidence: 99%

“…If wind power forecasts are accurate, the output of wind power can be controlled as much as scheduled output. If confidence intervals can be estimated, minimum storage capacity can be estimated and low-risk schedule to sell the power to the electric power market can be planned [5,6]. If the calculating time of forecasting is short, the schedule can be replanned when weather conditions change.…”

Section: Introductionmentioning

confidence: 99%

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A Wind Power Forecasting Method and Its Confidence Interval Estimation

Iizaka

Jintsugawa

Kondo

et al. 2013

Electrical Engineering Japan

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This paper describes a wind power forecasting method and its confidence interval estimation. Recently, flat control of wind power generators using various batteries has been required. In flat control, accurate wind power forecasts and their error confidence intervals are needed. In this paper, wind speed forecasts are calculated by regression models using Grid Point Value (GPV) weather forecasts. The forecasts are adjusted by fuzzy inference using the latest errors. The wind power forecasts are translated from the wind speed forecasts using two power curves. The power curves are selected or combined by fuzzy inference depending on the wind direction. The error confidence interval models are generated for each forecasting target time. Each confidence interval is combined by the other fuzzy inference. The proposed methods were applied to actual wind power generators, and it was found that the forecasting errors were smaller than in the conventional methods. Almost all of the forecasts can be within the error confidence intervals estimated by the proposed methods. The results show the effectiveness of the proposed methods.

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A stochastic scheduled operation of wind farm based on scenarios of the generated power with copula

Yoshida

Negishi

Takayama

et al. 2018

Electrical Engineering Japan

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Recently, the penetration of wind farm (WF) has been increasing because of the global warming and the lack of the fossil energy resource. However, WF output fluctuate due to the weather and the seasonality. Specially, the long‐term fluctuation is called “Ramp event.” It's difficult for WF output to dispatch to the power grid without controlling the ramp events. This article proposes the method of scheduled operation to mitigate the ramp events and reduce the imbalance energy with the stochastic programming. In this method, it's necessary to use the WF output scenarios. However, there has never been studied the method of generating scenarios with the temporal correlation so far. Therefore, we propose the production method of generating scenarios considering the temporal correlation with copula. Finally, this article shows the validity and the effectiveness of these methods through computational simulations using the integrated WF data of Tohoku area.

show abstract

A Project Assessment of Stabilizing System of WT Generation using Rechargeable Battery

Cited by 9 publications

References 5 publications

A Stochastic Scheduled Operation of Wind Farm Based on Scenarios of the Generated Power with Copula

A Stochastic Scheduled Operation of Wind Farm Based on Scenarios of the Generated Power with Copula

A Wind Power Forecasting Method and Its Confidence Interval Estimation

A stochastic scheduled operation of wind farm based on scenarios of the generated power with copula

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