摘要
为了进行储能容量配置,采用经验模态分解方法,从频域上对储能功率进行划分,并分配给能量型电池和功率型电池,以储能成本最小为约束,以修正系数作为模糊变量,建立模糊机会约束模型,并用于模糊模拟的遗传算法求解。通过仿真算例得出储能电池和超级电容器系统的容量和功率,达到了储能容量配置的要求,采用混合储能系统可以满足平滑风电功率波动的要求,同时充分发挥储能电池和超级电容器的特性,将储能电池和超级电容器的荷电状态控制在合理范围内,保证了储能系统能够稳定运行。
Empirical mode decomposition(EMD)method was introduced to make capacity configuration for the hybrid energy storage system(HESS),dividing the energy storage power in frequency domain and assigning to energy density and power density batteries.Capacity allocation model,based on fuzzy chance constrained programming,was built with the minimum annual cost and state of charge(SOC)confidence level as constraints.The fuzzy simulation-based genetic algorithm was used to solve the fuzzy model.The capacity and power of storage battery and super capacitor were obtained by simulation calculation.The hybrid energy storage system can be introduced to smooth the fluctuations of wind power-output and control the load of storage battery and super capacitor,so as to guarantee the stable operation of storage system.
出处
《分布式能源》
2016年第3期43-48,共6页
Distributed Energy
关键词
新能源
风力发电
混合储能平滑
容量配置
遗传算法
new energy
wind power
hybrid energy storage system(HESS)smoothing
capacity allocation
genetic algorithm