基于Bloch球面的量子遗传算法的混合储能系统容量配置

Capacity Configuration of the Hybrid Energy Storage System Based on Bloch Spherical Quantum Genetic Algorithm

风电功率波动对电网造成不容忽视的影响。风电并网处加入混合储能系统可有效降低风电对电网的影响。首先,有效地分解风电有功功率,得到混合储能系统需平抑的波动功率;然后,在电池及超级电容器荷电状态、额定功率及充放电时间的允许范围内实现超级电容器优先充放电的协调控制方式;最后,应用映射于Bloch球面的量子遗传算法,确定满足混合储能系统技术要求及工程指标的混合储能系统配置方案,使混合储能系统成本最低。算例分析证明了在监测荷电状态等约束条件下,优先超级电容器充放电控制方式的有效性及Bloch球面量子遗传算法配置混合储能系统方法的合理性。

It can not be ignored that active power fluctuations in wind power＇s influence on the grid. The hybrid energy storage system access to the place in which wind power connected to the power grid can effectively reduce the impact of the intermittency of wind power. Firstly, the fluctuating power of wind power was separated to derive the output power of the hybrid energy storage system Secondly, charging and discharging of the super-capacitor were firstly controlled in the allowable range of the power rating, the states of charge and the durations of charging or discharging of the hybrid energy storage. At last, the Bloch spherical quantum genetic algorithm was applied to decide the combination scheme of hybrid energy storage system to meet the technical requirements of hybrid energy storage system and engineering indicators and make the cost be the lowest. In the example, the validity of the control model based on priority control of super-capacitor charging and discharging and the effectiveness of configuring hybrid energy storage system capacity with the Bloch spherical quantum genetic algorithm was proved.