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Improvement of typhoon rainfall prediction based on optimization of the Kain-Fritsch convection parameterization scheme using a micro-genetic algorithm

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Frontiers of Earth Science 2019年第4期13卷 721-732页

作者： Jia ZHU Jiong SHU Xing YU Key Laboratory of Geographic Information Science(Ministry of Education) East China Normal UniversityShanghai 200241China School of Geographic Sciences East China Normal UniversityShanghai 200241China Beijing Thematic Technology Co. Ltd.Beijing 100020China

Inclusion of cloud processes is essential for precipitation prediction with a numerical weather prediction ***,convective parameterization contains numerous parameters whose values are in large *** particular,it is still not clear how the parameters of a sub-grid-scale convection scheme can be modified to improve high-resolution precipitation *** address these issues,a micro-genetic(micro-ga)algorithm is coupled to the Kain-Fritsch(KF)convective parameterization scheme(CPS)in the WRF to improve the quantitative precipitation forecast(QPF).The optimization focuses on two parameters in the KF scheme:the convective time scale and the conversion *** optimizing process is controlled by the micro-ga using a QPF skill score as the fitness *** heavy rainfall events related to typhoons that made landfall over the south-east coastal region of China are selected,and for each case the parameter values are adjusted to achieve the best QPF *** improvements in QPF are evident with an increase in the average equitable threat score(ETS)by 5.8%for the first case,and by 18.4%for the second *** results demonstrate that the micro-gaKF coupling system is effective in optimizing the parameter values,which affect the applicability of CPS in a high-resolution model,and therefore improves the rainfall prediction in both ETS and spatial distribution.

关键词： quantitative precipitation forecast micro-ga Kain-Fritsch scheme typhoon

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Fuzzy Logic Controller Based on a micro-genetic Algorithm for STATCOM 36

Fuzzy Logic Controller Based on a Micro-genetic Algorithm fo...

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第36届中国控制会议

作者： Zhennan Hong Ting Li Junhong Li School of Electrical Engineering University of South China

ISBN: (纸本)9781538629185

A new fuzzy control approach of STATCOM has been designed according to micro-genetic algorithm in this paper. Initial membership functions and control rules of FLC were fast obtained by fuzzy toolbox of MATLAB and selecting input and output observed signals, membership functions and control rules are optimized simultaneously by micro-ga. Simulation experiments for four machines power system with STATCOM were carried out by three control algorithms, which are optimal FLC, non-optimal FLC, conventional lead-lag compensator, and three controllers were tested by varying loading *** simulation results show that the new fuzzy controller has not only robust performance of control, high stability and minimum response time but also unsensitive quality for the change of load and disturbance of power system. On the other way, it can maintain good damping property for power system.

关键词： Fuzzy controller STATCOM lead-lag compensator micro-ga simulation

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