Enhancing Performances on Wind Power Fluctuation Mitigation by Optimizing Operation Schedule of Battery Energy Storage Systems with Considerations of Operation Cost

Xinsong Zhang, Juping Gu, Liang Hua, Kang Ma

Research output: Contribution to journalArticle

Abstract

In this paper, battery energy storage systems (BESSs) are integrated into wind farms (WFs) to mitigate the wind power fluctuations. This paper presents a formulation to optimize the operation schedule of the BESS, with the objective of minimizing the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. The optimal operation schedule of the BESS is utilized to generate the charging/discharging instructions for the BESS to enhance performances on mitigating the wind power fluctuations. Without a proper control, the BESS switches between charging and discharging states frequently and thus degrading batteries significantly, which results to a high operation cost of the BESS. To address this issue, the BESS is divided into two parts, which implement charging and discharging instructions respectively. Sequential Monte Carlo simulation is applied to simulate the operation of the BESS-integrated WF on a typical day, and the simulation results are used to evaluate the technical and economic performances on mitigating the fluctuations. The simulation results validate that the solution can mitigate the output power fluctuations with a better performance and a less operation cost than existing solutions.
Original languageEnglish
Pages (from-to)1-1
Number of pages1
JournalIEEE Access
DOIs
Publication statusPublished - 11 Jul 2019

Cite this

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title = "Enhancing Performances on Wind Power Fluctuation Mitigation by Optimizing Operation Schedule of Battery Energy Storage Systems with Considerations of Operation Cost",
abstract = "In this paper, battery energy storage systems (BESSs) are integrated into wind farms (WFs) to mitigate the wind power fluctuations. This paper presents a formulation to optimize the operation schedule of the BESS, with the objective of minimizing the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. The optimal operation schedule of the BESS is utilized to generate the charging/discharging instructions for the BESS to enhance performances on mitigating the wind power fluctuations. Without a proper control, the BESS switches between charging and discharging states frequently and thus degrading batteries significantly, which results to a high operation cost of the BESS. To address this issue, the BESS is divided into two parts, which implement charging and discharging instructions respectively. Sequential Monte Carlo simulation is applied to simulate the operation of the BESS-integrated WF on a typical day, and the simulation results are used to evaluate the technical and economic performances on mitigating the fluctuations. The simulation results validate that the solution can mitigate the output power fluctuations with a better performance and a less operation cost than existing solutions.",
author = "Xinsong Zhang and Juping Gu and Liang Hua and Kang Ma",
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T1 - Enhancing Performances on Wind Power Fluctuation Mitigation by Optimizing Operation Schedule of Battery Energy Storage Systems with Considerations of Operation Cost

AU - Zhang, Xinsong

AU - Gu, Juping

AU - Hua, Liang

AU - Ma, Kang

PY - 2019/7/11

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N2 - In this paper, battery energy storage systems (BESSs) are integrated into wind farms (WFs) to mitigate the wind power fluctuations. This paper presents a formulation to optimize the operation schedule of the BESS, with the objective of minimizing the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. The optimal operation schedule of the BESS is utilized to generate the charging/discharging instructions for the BESS to enhance performances on mitigating the wind power fluctuations. Without a proper control, the BESS switches between charging and discharging states frequently and thus degrading batteries significantly, which results to a high operation cost of the BESS. To address this issue, the BESS is divided into two parts, which implement charging and discharging instructions respectively. Sequential Monte Carlo simulation is applied to simulate the operation of the BESS-integrated WF on a typical day, and the simulation results are used to evaluate the technical and economic performances on mitigating the fluctuations. The simulation results validate that the solution can mitigate the output power fluctuations with a better performance and a less operation cost than existing solutions.

AB - In this paper, battery energy storage systems (BESSs) are integrated into wind farms (WFs) to mitigate the wind power fluctuations. This paper presents a formulation to optimize the operation schedule of the BESS, with the objective of minimizing the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. The optimal operation schedule of the BESS is utilized to generate the charging/discharging instructions for the BESS to enhance performances on mitigating the wind power fluctuations. Without a proper control, the BESS switches between charging and discharging states frequently and thus degrading batteries significantly, which results to a high operation cost of the BESS. To address this issue, the BESS is divided into two parts, which implement charging and discharging instructions respectively. Sequential Monte Carlo simulation is applied to simulate the operation of the BESS-integrated WF on a typical day, and the simulation results are used to evaluate the technical and economic performances on mitigating the fluctuations. The simulation results validate that the solution can mitigate the output power fluctuations with a better performance and a less operation cost than existing solutions.

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