A Compound Algorithm for Maximum Power Point Tracking Used in Laser Power Beaming
With the high voltage intelligent substation developing in a pretty high speed,more and more artificial intelligent techniques have been incorporated into the power devices to meet the automation needs.For the sake of the line maintenance staffs safety,the high voltage isolating switch draws great attention among the most important power devices because of its capability of connecting and disconnecting the high voltage circuit.However,due to the very high level voltage of the high voltage isolating switchs working environment,the power supply system of the surveillance devices could suffer from great electromagnetic interference.Laser power beaming exhibits its merits in such situation because it can provide steady power from a distance despite the day or the night.Then the energy conversion efficiency arises as a new concern.To make as much use of the laser power as possible,our work mainly focuses on extracting maximum power from the photovoltaic(PV)panel.In this paper,we proposed a neural network based algorithm which relates both the intrinsic and the extrinsic features of the PV panel to the proportion of the voltage at the maximum power point(MPP)to the open circuit voltage of the PV panel.Simulations and experiments were carried out to verify the validness of our algorithm.
Cheng Chen Qiang Liu Shan Gao Yun Teng Lin Cheng Chengtao Yu Kai Peng
State Grid Electric Power Research Institute,Wuhan,China School of Electronic Information and Communications,Huazhong University of Science and Technology,Wu State Grid JiangSu Electric Power Company,Jiangsu,China
国际会议
上海
英文
1-5
2017-12-28（万方平台首次上网日期，不代表论文的发表时间）