摘要
风电随机性和波动性导致有功功率调节难度大,为此提出了考虑功率预测趋势的风电有功动态分群控制策略。该策略利用风电超短期功率预测信息和风电场实时运行状态将风电场动态划分6类机群,给出了对风电功率先降后升和先升后降2种非单调变化趋势风电场群的功率预处理方法。在此基础上,确定了各类风电场群的控制原则,通过分析有功功率调节能力给出具体分配方法。利用国内某风电基地超短期功率预测数据进行仿真,验证了所提策略的有效性,结果表明通过风电场动态分群和优化控制,能够实现风电场有功功率的平滑控制,减少输出功率的波动次数。
The randomness and fluctuation of wind power may make active power of wind farm difficulty to be controlled, therefore a ultra-short term power prediction based dynamic grouping strategy for active power control of wind farm is proposed. This strategy can classify wind farms into six groups dynamically using the information of ultra-short term power prediction and real-time operation status of wind farms. The method of power pre-processed is proposed for the two groups with non-monotonous variation trends such as power decreasing to increasing and power increasing to decreasing, and the principle of control of different wind farm groups is given. Further, detailed allocation method is introduced by analyzing the power regulation ability of wind farms. Case study is carried out to verify the effectiveness of the proposed strategy using ultra-short term predicting power data of an actual wind power base, the result shows that the power output of wind farm can be smoothened by dynamic and optimal grouping so that the time of power fluctuation is reduced.
出处
《电网技术》
EI
CSCD
北大核心
2014年第10期2752-2758,共7页
Power System Technology
基金
国家863高技术基金项目(2012AA050203)~~
关键词
风力发电
动态分群
有功功率控制
超短期功率预测
wind power
dynamic grouping
active powercontrol
ultra-short term power prediction
