基于小波变换与机会约束规划的风电储能容量配置

Wind power storage capacity configuration based on wavelet transform and chance constrained programming

中文关键词: 小波分解  平抑波动  储能容量配置  机会约束规划

英文关键词: wavelet decomposition  fluctuation suppression  energy storage capacity configuration  chance⁃constrained programming

中文摘要:

      风电并网存在的功率波动大的问题，会对电力系统的经济、安全和可靠运行带来负面影响，通过对储能系统的控制能够实现对风电场输出功率的平抑。基于风电场历史风电出力数据，采用小波分解得到平抑目标信号，建立了储能系统充放电模型并且制定了储能系统的控制策略。以储能系统的经济性最优为目标进行储能容量配置，为兼顾储能系统的经济性与平抑效果，使用机会约束规划将风电并网输出功率波动量满足并网要求的概率作为柔性约束引入目标模型中，并根据当前时刻并网功率修正未来时刻平抑目标。最后采用遗传算法进行仿真实验完成最优储能容量配置，结果显示，所提出的储能容量配置方法在大幅度降低储能系统经济成本的同时，可以使风电并网功率波动满足并网要求的置信度处于较高的水平。

英文摘要:

      The power fluctuation is serious when wind power generation is connected to network, which will bring negative impact on the economy, security and reliability of the power system. Through the control of energy storage system, the output power of wind farm can be suppressed. Based on the historical power output data of a wind farm, the target signal is obtained by wavelet decomposition. The charging and discharging model of the energy storage system is established, and the control strategy is also formulated. Energy storage capacity configuration is carried out with the optimal objective of best economy of energy storage system. To consider the economy and stabilization effect of the energy storage system, the probability of wind power output fluctuation meeting the grid connection requirements is introduced into the target model as a flexible constraint by chance constrained programming. The method of modifying the stabilization target in the future time period according to the current grid connected power is also studied. Finally, the genetic algorithm is used to configure the optimal energy storage capacity through simulation experiments. The results show that the proposed energy storage capacity allocation method can greatly reduce the economic cost of energy storage system, and the wind power fluctuations can meet the grid requirements at a high level of confidence.