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

作者：MA Suliang; MA Huimeng; JIANG Xiaoping; DUAN Guodong; LI Na

来源：中国电机工程学报, 2015, (3).

DOI：10.13334/j.0258-8013.pcsee.2015.03.011

• wind active power variation
• capacity configuration
• hybrid energy storage systems (HESS)
• coordinated control strategy
• Bloch spherical
• quantum genetic algorithm (QGA)

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.

• 单位
  北京; 中国矿业大学; 中国矿业大学（北京）