Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double...Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double-carbon target. Photovoltaic power generation attracts peoples attention, and it has the advantages of renewable and pollution-free, and the installed capacity of photovoltaic is doubled every year. In photovoltaic systems, the common factor that affects the electric quantity is partial occlusion. Different local occlusion affects the I-U output of components, so the traditional MPPT tracking algorithm of series inverter cant reach the maximum output of the array, and is only limited to the local optimal output. Therefore, this paper focuses on the nonlinear characteristics of photovoltaic array output, and optimizes the algorithm based on the conventional particle swarm optimization algorithm. The sim ulation model of photovoltaic sequence used in Hainan Tunchang Xinye Power Station is established by MATLAB/Simulink software. By using the disturbance observation method used by the inverter of the power station and the optimization algorithm particle swarm optimization proposed this time, the maximum power tracking of photovoltaic is analyzed under the conditions of uniform illumination and local shadow, and the peak value of the output characteristic curve of the two algorithms when adjusting the maximum power tracking of photovoltaic sequence is verified.展开更多
TRISO （tristructural-isotropic） fuel is a type of micro fuel particles used in high-temperature gas-cooled reactors （HTGRs）. Among the quality evaluation methods for such particles, inqine phase contrast imaging t...TRISO （tristructural-isotropic） fuel is a type of micro fuel particles used in high-temperature gas-cooled reactors （HTGRs）. Among the quality evaluation methods for such particles, inqine phase contrast imaging technique （PCI） is more feasible for nondestructive measurement. Due to imaging hardware limitations, high noise level is a distinct feature of PCI images, and as a result, the dimensional measurement accuracy of TRISO-coated fuel particles decreases. Therefore, we propose an improved denoising hybrid model named as NL P-M model which introduces non-local theory and retains the merits of the Perona-Malik （P-M） model. The improved model is applied to numerical simulation and practical PCI images. Quanti- tative analysis proves that this new anisotropic diffusion model can preserve edge or texture information effectively, while ruling out noise and distinctly decreasing staircasing artifacts. Especially during the process of coating layer thickness measurement, the NL P-M model makes it easy to obtain continuous contours without noisy points or fake contour segments, thus enhancing the measurement accuracy. To address calculation complexity, a graphic processing unit （GPU） is adopted to realize the acceleration of the NL P-M denoising.展开更多
文摘Facing the current situation of global energy consumption and increasingly serious environmental pollution, countries have accelerated the construction of new energy systems and put forward the "3060" double-carbon target. Photovoltaic power generation attracts peoples attention, and it has the advantages of renewable and pollution-free, and the installed capacity of photovoltaic is doubled every year. In photovoltaic systems, the common factor that affects the electric quantity is partial occlusion. Different local occlusion affects the I-U output of components, so the traditional MPPT tracking algorithm of series inverter cant reach the maximum output of the array, and is only limited to the local optimal output. Therefore, this paper focuses on the nonlinear characteristics of photovoltaic array output, and optimizes the algorithm based on the conventional particle swarm optimization algorithm. The sim ulation model of photovoltaic sequence used in Hainan Tunchang Xinye Power Station is established by MATLAB/Simulink software. By using the disturbance observation method used by the inverter of the power station and the optimization algorithm particle swarm optimization proposed this time, the maximum power tracking of photovoltaic is analyzed under the conditions of uniform illumination and local shadow, and the peak value of the output characteristic curve of the two algorithms when adjusting the maximum power tracking of photovoltaic sequence is verified.
基金supported in part by the National Natural Science Foundation of China(NSFC)under Grants 11275019,21106158 and 61077011in part by the National State Key Laboratory of Multiphase Complex Systems under Grant MPCS-2011-D-03+4 种基金in part by the National Key Technology R&D Program of China under Grant 2011 BAI02B02supported in part by the National Research Foundation of Korea(NRF)grantfunded by the Korean government(MEST)(No.2011-0020024)in part by the R&D program of the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Korean government Ministry of Knowledge Economy(No.20101020300730)the Defense Acquisition Program Administration and the Agency for Defense Development for the financial support provided by both institutions
文摘TRISO （tristructural-isotropic） fuel is a type of micro fuel particles used in high-temperature gas-cooled reactors （HTGRs）. Among the quality evaluation methods for such particles, inqine phase contrast imaging technique （PCI） is more feasible for nondestructive measurement. Due to imaging hardware limitations, high noise level is a distinct feature of PCI images, and as a result, the dimensional measurement accuracy of TRISO-coated fuel particles decreases. Therefore, we propose an improved denoising hybrid model named as NL P-M model which introduces non-local theory and retains the merits of the Perona-Malik （P-M） model. The improved model is applied to numerical simulation and practical PCI images. Quanti- tative analysis proves that this new anisotropic diffusion model can preserve edge or texture information effectively, while ruling out noise and distinctly decreasing staircasing artifacts. Especially during the process of coating layer thickness measurement, the NL P-M model makes it easy to obtain continuous contours without noisy points or fake contour segments, thus enhancing the measurement accuracy. To address calculation complexity, a graphic processing unit （GPU） is adopted to realize the acceleration of the NL P-M denoising.
