A Scheduling Operation Method of Wind Farm to Deal with Ramp Events and Evaluation of Required Battery Capacity

Yoshida, Kotaro; Negishi, Shintaro; Takayama, Satoshi; Ishigame, Atsushi

doi:10.1541/ieejpes.137.687

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…The number of scenarios is set to M = 1000 from the standpoints of solution convergence and computing cost; the upper limit of interframe variation is set to ΔP lim = 0.05 with reference to previous research. 20 According to literature, 19 SA/SW seasonality is observed in Tohoku and Hokkaido regions. Thus we calculated forecast errors from respective actual/forecast data, and created a scatter plot as shown in Figure 9.…”

Section: Conditionsmentioning

confidence: 99%

“…As regards absolute values, linearization of max/min function and other details, please refer to literature. 20 WF output is unknown at the stage of generation scheduling, and therefore, WF output forecast is used instead. In so doing, generation schedules are designed so as to manage SOC (State Of Charge) of battery storage, while minimizing the risks of demandsupply mismatch resulting from forecast errors.…”

Section: Proposed Generation Scheduling Modelmentioning

confidence: 99%

“…In our previous research, 20,21 we investigated scheduled operation of WF to handle ramp events. Thus we proposed a deterministic programming (DP) method in which forecast data of WF output were treated as definite values.…”

Section: Introductionmentioning

confidence: 99%

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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: Conditionsmentioning

confidence: 99%

Section: Proposed Generation Scheduling Modelmentioning

confidence: 99%

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

et al. 2018

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“…The authors have participated in a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). In this project, Takayama et al and Yoshida et al developed scheduling methods or control methods with a battery ESS [12,13]. Hamamoto et al investigated a heat pomp and biogas engine generator [14].…”

Section: Introductionmentioning

confidence: 99%

Scheduling method of wind power generation for electricity market using state-of-charge transition and forecast error

Kikuchi

Ito

Hayashi

2019

Journal of International Council on Electrical Engineering

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This study focuses on the trade of power from wind power plants (WPPs) at an electricity market. To trade power, operators should produce generation schedules for bids and then supply the same amount of energy as the schedules. However, power from WPPs tends to fluctuate, which complicates scheduling. This paper proposes three scheduling methods with an energy storage system (ESS) to solve this problem. The first method considers state-of-charge (SOC) transition to maintain the appropriate SOC and minimize the imbalance between supplied and scheduled energy. The second and third methods consider SOC transition and forecast errors. The second method uses a linear regression model to estimate forecast errors. The third method adopts a bagged trees model, which is a machine learning method, to directly estimate the adjusted forecast data considering errors. Five patterns of the rated power of the ESS are assumed, and these three methods are simulated on each power. In comparison with the basic method, whose schedules are the same as the forecast, the third method can reduce 84% of the imbalance from the schedules when the rated power of the ESS is the minimum. The proposed methods help develop further correct and practical scheduling methods.

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“…In our previous research, we investigated scheduled operation of WF to handle ramp events. Thus we proposed a deterministic programming (DP) method in which forecast data of WF output were treated as definite values.…”

Section: Introductionmentioning

confidence: 99%

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

Self Cite

View full text Add to dashboard Cite

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 Scheduling Operation Method of Wind Farm to Deal with Ramp Events and Evaluation of Required Battery Capacity

Cited by 5 publications

References 12 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

Scheduling method of wind power generation for electricity market using state-of-charge transition and forecast error

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

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