中国电力 ›› 2016, Vol. 49 ›› Issue (9): 148-151.DOI: 10.11930/j.issn.1004-9649.2016.09.148.04

• 新能源 • 上一篇    下一篇

功率波动下风电并网中的储能技术优化

吴国诚   

  1. 国网浙江省电力公司 宁波供电公司,浙江 宁波 315000
  • 收稿日期:2016-02-25 出版日期:2016-09-10 发布日期:2016-09-28
  • 作者简介:吴国诚(1963—),男,湖北枝江人,高级工程师,从事电网建设运行技术及其管理工作。E-mail: wuguocheng@126.com
  • 基金资助:
    国家自然科学基金资助项目(61573315)

Grid Optimization of Energy Storage Technology with Fluctuating Wind Power

WU Guocheng   

  1. State Grid Zhejiang Electric Power Company, Ningbo Power Supply Company, Ningbo 315000, China
  • Received:2016-02-25 Online:2016-09-10 Published:2016-09-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No; 61573315)

摘要: 由于风电功率的波动,大规模风电并网对系统冲击较大。提出一种风电并网的储能技术优化方法,首先通过时间序列法,获取不同时间段的风速样本,构建风速周期性预测模型,基于预测到的风速数据,采用神经网络法构建风速-功率模型,计算出平稳性良好的风电功率波动周期,依据周期对储能过程进行合理配置,优化储能过程。测试结果表明,在误差较小的周期内,风电并网系统的储能平稳性较高,对系统冲击较小。

关键词: 风电并网, 输出功率, 储能

Abstract: Large wind power grid connect has big shock to system due to fluctuations in wind power. An optimized energy storage method during wind power grid connect is discussed. By using time series method, samples of wind speed in different times are obtained first. A periodic wind speed forecasting model is then constructed based on neural network. The smooth wind power fluctuation cycle is calculated and energy storage is arranged according to the cycle. Test results show that the proposed method can smooth wind power grid connect and reduce shocking impact on the system.

Key words: wind power grid, output power, energy storage

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