摘要
为了解决船舶排放的废弃物对环境的污染问题,提出以光伏电池为主电源超级电容作为辅助电源的混合动力的新能源船舶,其电力推进逆变器采用新型Z源逆变器。研究了这种混合动力船舶推进系统的工作原理和控制策略,推导了Z源逆变器的小信号模型,采用双环控制器维持直流链电压稳定,给出了控制器的设计方法,研究了Z源逆变器稳定性问题。采用三层的BP神经网络预测光伏电池的输出功率,通过控制直通占空比和调制因子来控制光伏电池和超级电容的输出功率,最后进行了仿真和试验。从仿真及试验结果可以看出,在船舶运行时,光伏电池提供平均功率,超级电容提供瞬态功率且还吸收制动功率,从而验证了理论的正确性。
We investigated a type of hybrid power boat in order to solve the environmental pollution problem caused by the ship emission. The hybrid power boat uses photovoltaic （PV） cell and a super capacitor as the main power supply and auxiliary power supply, respectively. The electrical propulsion system of the hybrid power boat used the novel Z-source inverter. Details about the operating principle and control strategy of the hybrid power propulsion system were investigated. The stability of the DC-link voltage was maintained by the dual loop control, and the con-troller was designed based on a small signal model. The predictive model of the PV cell output power was estab-lished by applying a three-layer BP neural network. Furthermore, we designed the power predictive system of the PV cell. The output power of the PV cell and the super capacitor was controlled by the shoot-through duty cycle and the modulation factor. Finally, simulation and experiment results indicated that the PV cell delivered average power, and that the super capacitor provided the transient power and absorbed the regenerative braking power when the boat was running. These results verified the validity of the proposed control strategies.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2017年第7期1015-1022,共8页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(61304186)
上海市自然科学基金项目(14ZR1419100)
上海海事大学校基金项目(20130430)
关键词
混合动力
新能源
船舶
电力推进
Z源逆变器
控制策略
BP神经网络
光伏电池
hybrid power
new energy
boat
electrical propulsion
Z source inverter
control strategy
BP neural network
photovoltaic cell
