储能科学与技术 ›› 2013, Vol. 2 ›› Issue (3): 294-299.doi: 10.3969/j.issn.2095-4239.2013.03.016

• 应用技术 • 上一篇    下一篇

电池储能系统在跟踪风电计划出力中的需求分析

靳文涛, 李蓓, 谢志佳   

  1. 中国电力科学研究院,北京 100192
  • 收稿日期:2013-02-26 修回日期:2013-03-12 出版日期:2013-06-19 发布日期:2013-06-19
  • 作者简介:靳文涛(1987--),男,工程师,研究方向为大规模储能技术,E-mail:jinwentao@epri.sgcc.com.cn.
  • 基金资助:
    基金项目:国家高技术研究发展计划(863计划)(2012AA050203); 国家电网公司科技项目(DG71-12-003)

An analysis for the need of a battery energy storage system in tracking wind power schedule output

JIN Wentao, LI Bei, XIE Zhijia   

  1. China Electric Power Research Institute,Beijing 100192,China
  • Received:2013-02-26 Revised:2013-03-12 Online:2013-06-19 Published:2013-06-19

摘要: 电池储能系统(battery energy storage system,BESS)在风储联合应用中具有多种功能,利用电池储能系统提高风电并网调度运行能力是当前研究的热点之一.文章基于我国北方某风电场历史运行数据与预测数据,依据预测误差评价指标和风电场预报考核指标的综合评价方法对风电场预测数据进行分析研究,归纳了预测误差的概率分布特征;提出利用电池储能系统提高风电跟踪计划出力能力,统计并量化出电池储能系统用于跟踪计划出力场合的作用范围;通过仿真验证电池储能系统在风储联合系统中提高风电跟踪计划出力控制策略的有效性和可行性.

关键词: 电池储能系统, 风储联合系统, 跟踪计划出力

Abstract: There are variety of applications of battery energy storage system(battery energy storage system, BESS) used in the combined system of wind power and energy storage, and improving grid-connected wind power operation ability under dispatch by using battery energy storage system is currently one of the research focus. Based on forecast and historical operation data of a wind farm in northern China, this article reports an analysis on the wind farm forecast data to obtain the forecast error probability distribution characteristics by using an evaluation method combining the prediction error indicators and wind farm forecast assessment indicators. A battery energy storage system is then proposed to improve the ability to track wind power schedule output, followed by statistical analyses and quantification of the scope of racking schedule output. Finally, simulation verifications are performed of the effectiveness and viability of the control strategy for improving the ability of wind power tracking schedule output.

Key words: battery energy storage system, wind power and energy storage combined system, tracking wind power schedule output

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