A Strategy to Enhance Performance on Mitigating Wind Power Fluctuations Based on Battery Energy Storage Systems

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2019-06-06 DOI:10.1109/YAC.2019.8787689

Xinsong Zhang, Yue Yuan, Junpeng Zhu, Juping Gu

{"title":"A Strategy to Enhance Performance on Mitigating Wind Power Fluctuations Based on Battery Energy Storage Systems","authors":"Xinsong Zhang, Yue Yuan, Junpeng Zhu, Juping Gu","doi":"10.1109/YAC.2019.8787689","DOIUrl":null,"url":null,"abstract":"The intrinsic fluctuating character of wind power poses great challenges on electric power systems. Battery energy storage systems (BESSs) can mitigating wind power fluctuations by adjusting their charging/discharging rates if they are integrated into WFs. In this paper, we design a strategy for the BESS, aiming to enhance performances on mitigating wind power fluctuations. The strategy optimizes charging/discharging rates of the BESS to minimize the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. Based on the optimized results, a charging/discharging power instruction is generated for the BESS with considerations of random forecast errors on wind power. We also design two special indices to evaluate performances on mitigating wind power fluctuations respectively from aspects of fluctuating energy and fluctuating power amplitudes. Sequential Monte Carlo simulation (SMCS) is applied to simulate the operation of the BESS-integrated WF. Simulation results validate the strategy which enhances performances on mitigating wind power fluctuations.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"116 1","pages":"115-120"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2019.8787689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

The intrinsic fluctuating character of wind power poses great challenges on electric power systems. Battery energy storage systems (BESSs) can mitigating wind power fluctuations by adjusting their charging/discharging rates if they are integrated into WFs. In this paper, we design a strategy for the BESS, aiming to enhance performances on mitigating wind power fluctuations. The strategy optimizes charging/discharging rates of the BESS to minimize the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. Based on the optimized results, a charging/discharging power instruction is generated for the BESS with considerations of random forecast errors on wind power. We also design two special indices to evaluate performances on mitigating wind power fluctuations respectively from aspects of fluctuating energy and fluctuating power amplitudes. Sequential Monte Carlo simulation (SMCS) is applied to simulate the operation of the BESS-integrated WF. Simulation results validate the strategy which enhances performances on mitigating wind power fluctuations.

查看原文本刊更多论文

基于电池储能系统的风力发电波动抑制策略

风力发电固有的波动特性对电力系统提出了巨大的挑战。如果将电池储能系统(bess)集成到WFs中，可以通过调整充电/放电速率来缓解风力发电的波动。在本文中，我们为BESS设计了一种策略，旨在提高其在缓解风力波动方面的性能。该策略优化了BESS的充放电速率，以最小化从BESS集成WF的输出功率中提取的波动分量的能量。在优化结果的基础上，考虑风电的随机预测误差，生成BESS的充放电功率指令。我们还设计了两个专门的指标，分别从波动能量和波动功率幅值两个方面来评价缓解风电波动的性能。采用序贯蒙特卡罗仿真(SMCS)对bess集成WF的运行进行了仿真。仿真结果验证了该策略的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)

自引率

0.00%

发文量