中国电力 ›› 2013, Vol. 46 ›› Issue (6): 63-69.DOI: 10.11930/j.issn.1004-9649.2013.6.63.6

• 新能源 • 上一篇    下一篇

基于目标参数和储能容量约束的风电功率平滑策略

陈峦1, 黄琦1, 陈池2   

  1. 1. 电子科技大学 能源科学与工程学院,四川 成都 611731;
    2. 上海宝钢节能技术有限公司,上海 201900
  • 收稿日期:2013-01-11 出版日期:2013-06-05 发布日期:2015-12-15
  • 作者简介:陈峦(1973—),男,四川广安人,副教授,从事可再生能源发电及其并网技术、智能电网方面的研究。E-mail: chluan@uestc.edu.cn
  • 基金资助:
    中央高校基本科研业务费资助项目(ZYGX2010X016)

Strategy on Wind Power Smoothing Subject to Target Parameters and Energy-Storage Capacity

CHEN Luan1, HUANG Qi1, CHEN Chi2   

  1. 1. School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
    2. Baosteel Energy Technology Co., Ltd., Shanghai 201900, China
  • Received:2013-01-11 Online:2013-06-05 Published:2015-12-15

摘要: 针对功率平滑目标参数要求和储能系统容量限制2个约束条件,提出3种风电功率平滑控制策略,并分析各策略的特点及适用场合。其中,基于目标参数要求的功率平滑控制策略采用功率波动限值均匀化分布处理方法来平抑风电功率中的高频分量;基于储能系统容量约束的功率平滑控制策略以储能系统的存电量作为平滑控制决策参数,可极大地提高储能系统的利用效率;而兼顾目标参数要求和储能系统容量约束的功率平滑控制策略采用部分弃风和暂时解列离网技术,可较好地解决储能系统容量不足的问题。在建立风电-蓄能系统功率平滑控制系统模型的基础上,给出3种控制策略相应的控制算法,并进行算例仿真分析。仿真结果表明,3种控制策略的平滑效果均较好。

关键词: 风电并网, 储能系统, 有功功率平滑, 目标参数

Abstract: Considering the constraints of target parameters and energy-storage system capacity, three wind power smoothing control strategies are proposed. Their features and applicable situations are also discussed. The target-parameter based strategy smoothes the high-frequency components of the wind power by homogenizing the distribution of power fluctuation limits, while the storage-capacity based strategy can improve the efficiency of the energy-storage system significantly by taking its capacity as the smoothing control decision parameter. Further, the capacity inadequacy of energy-storage systems can be solved better by combining the two strategies mentioned above and adopting the wind curtailment and temporarily splitting techniques. Based on the established wind power smoothing control models, three related algorithms are developed and simulation analyses are provided, which proves that the new control strategies are effective.

Key words: wind power integration, energy storage system, active power smoothing, target parameter

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