基于动态波动系数的风电功率平滑控制策略

风力发电的随机波动性对电力系统的稳定性带来不利影响，通过配备储能系统可以提升电网接纳风电的能力。本文定义了反映储能系统平抑风电波动效果的波动系数；提出一种基于动态波动系数的风电功率平滑控制策略；建立了以波动系数为优化变量，风电实际功率和并网功率的差值最小为目标，并网功率波动要求为约束的优化模型；设计了基于滑动窗口的遗传算法求解方案，优化求得动态波动系数及相应的储能额定容量及功率，最终利用储能抑制风电功率的波动。实验表明，与传统控制策略相比，该策略能有效抑制功率波动并降低储能容量，节约成本。

Smoothing Control Strategy of Wind Power Based on Dynamic Fluctuation Coefficient

The fluctuation of wind power has a negative effect on the stability of the power system. By using the energy storage system, the ability to accept wind power can be promoted. In this paper, the fluctuation coefficient is defined, which reflects the wind power smoothing effect of energy storage system. Also a fluctuation smoothing control strategy based on dynamic fluctuation coefficient is proposed; taking the minimization of the difference between the actual power and the grid power of the wind power as the objective and the requirements for the fluctuation of grid connected power as constrains, an optimal configuration model is built. A genetic algorithm based on sliding window is designed to solve the problem. Compared with the traditional control strategy, experiments show that the proposed method can effectively smooth the power fluctuation, reduce the storage capacity and save the cost.