在“双碳”背景下,为实现补偿风电预测误差和平抑波动,提出一种计及补偿风电预测误差和平抑波动的控制策略。首先,制定比国家规定更严格的混合储能综合目标域,将目标域分为内、外两部分,采用自适应噪声集合经验模态分解（ICEEMDAN）和逼近理想解排序法（TOPSIS）求得超级电容作用域和蓄电池作用域,超级电容承担变化率较大的部分,蓄电池承担平滑部分。然后,将作用于目标域的混合储能电池组分为4组,根据充/放电参考功率进行状态切换。最后,以新疆某风电场为例进行仿真分析,综合对比多种分解方法和储能配置方法,证明所提策略的有效性。
Abstract
Under the background of ‘dual carbon’, based on the comprehensive target domain of wind power forecasting error and smoothing fluctuation, a control strategy is proposed to compensate both the prediction error and smoothing fluctuation of wind power. Firstly, the allowable range of prediction error and wind power fluctuation is determined more strictly than that of the national standard, and the comprehensive target area is established. The target domain is divided into internal and external parts, using improved complete ensemble empirical mode decomposition with adaptive noise （ICEEMDAN） and technique for order preference by similarity to an ideal solution （TOPSIS）to calculate the scope of super capacitor and battery, which bear the part with the larger change rate and the smooth part respectively. And then, the hybrid energy storage batteries acting on the target domain are divided into four groups, and the states are switched according to the charge/discharge power. Finally, a wind farm in Xinjiang was taken as an example for simulation analysis, and a comprehensive comparison of various decomposition methods and energy storage configuration methods was made to prove the effectiveness of the proposed strategy.
关键词
风电 /
预测误差 /
功率波动 /
综合目标域 /
自适应噪声集合经验模态分解 /
逼近理想解排序法 /
功率分配 /
分组电池
Key words
wind power /
prediction error /
power fluctuation /
comprehensive target area /
ICEEMDAN /
TOPSIS /
power distribution /
grouping batteries
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基金
国家自然科学基金（62163034）; 新疆维吾尔自治区重大专项（2022A01001）
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