电器与能效管理技术 ›› 2022, Vol. 0 ›› Issue (9): 38-44.doi: 10.16628/j.cnki.2095-8188.2022.09.006

• 策略研究与分析 • 上一篇    下一篇

考虑疲劳分布的风电场超速减载控制策略研究

刘颖明, 薛帆, 王晓东, 李丹, 李洋   

  1. 沈阳工业大学 电气工程学院, 辽宁 沈阳 110870
  • 收稿日期:2022-04-03 出版日期:2022-09-30 发布日期:2022-10-20
  • 作者简介:刘颖明(1973—),男,教授,博士,研究方向为广域风电集群控制策略、风储联合系统多时空尺度协调优化控制策略等。|薛 帆(1994—),男,硕士研究生,研究方向为风电场频率控制。|王晓东(1978—),男,教授,研究方向为风电场储能系统及其能量管理策略、风电机组及储能系统协调控制。
  • 基金资助:
    辽宁省中央引导地方科技发展资金计划项目(2021JH6/10500166);智慧风电场全息状态精准感知与优化决策系统研发及产业化(2021JH1/10400009)

Research on Control Strategy of Wind Farm Over-Speed and Load Shedding Considering Fatigue Distribution

LIU Yingming, XUE Fan, WANG Xiaodong, LI Dan, LI Yang   

  1. School of Electrical Engineering,Shenyang University of Technology, Shenyang 110870, China
  • Received:2022-04-03 Online:2022-09-30 Published:2022-10-20

摘要:

为减少大规模风电并网给电力系统频率稳定性带来的影响,风电场应适当留取一定的有功备用,提出了一种考虑疲劳分布的风电场超速减载控制策略。调整不同机组的减载系数,使风电场整体保留一定备用容量,同时改善机组疲劳增长分布。结合机组超速控制运行状态,对风电机组疲劳系数加以改进,以风电场改进疲劳系数标准差最小化为目标,以跟踪有功参考值及机组出力限制为约束,采用粒子群算法计算分配机组功率参考值及减载系数。通过比较不同策略下机组的疲劳系数分布、部件的累计雨流循环及损伤等效载荷,验证了所提方法的有效性。

关键词: 风电场, 载荷优化, 功率分配, 超速控制

Abstract:

In order to reduce the impact of large-scale wind power grid connection on the frequency stability of power system, a certain amount of active power for backup are reserved in the wind farm.An active power distribution method of wind farm over-speed and load shedding considering fatigue distribution is proposed.The load shedding coefficients of different units are adjusted to keep a certain standby capacity and improve the fatigue growth distribution of units.Combined with the over-speed control operation state of the unit,the fatigue coefficient of the wind turbine unit is improved.With the objective of minimizing the standard deviation,the fatigue coefficient of the wind farm is improved.With the constraint of tracking the active power reference value and the output limit of the unit,the power reference value and the load reduction coefficient of the allocated unit are calculated by particle swarm optimization algorithm.The effectiveness of the proposed method is verified by comparing the distribution of fatigue coefficient,cumulative rain flow cycle and damage equivalent load of components under different strategies.

Key words: wind farm, load optimization, power distribution, overs-peed control

中图分类号: