Research on data assimilation in solar photovoltaics power generation based on improved PSO algorithm
LI Junyan1,2， TONG Yala3
(1.School of Computer Science， Hubei University of Education， Wuhan 430205， China；2.Hubei Co-Innovation Center of Basic Education Information Technology Services， Wuhan 430205， China；3.School of Science， Hubei University of Technology， Wuhan 430068， China)
Abstract：Data assimilation is a key and difficult point in the research of solar photovoltaic power generation prediction. Intelligent optimization algorithms such as genetic algorithm and particle swarm optimization algorithm are introduced into the four-dimensional variational assimilation. Aimed to slow speed of Particle Swarm Optimization algorithm based on Molecular Motion Theory (MPSO) when dealing with problems with large amounts of data， in this paper， a Parallel Modified Particle Swarm Optimization (PMPSO) is proposed， using parallel computing to shorten running time. The basic idea of parallel computing is to divide the particle swarm into N subsets， with each subset given to a thread for control， and iteration operation is carried out at the same time to improve the processing speed of the algorithm. After each iteration， the data of the elite particles in each subset will be transferred to the public part， and then the next iteration will be carried out to make the information exchange among each subset to increase the diversity. Results are applied to data assimilation in numerical weather forecasting， and compared with MPSO， Particle Swarm Optimization with Dynamic Inertia Weight and Acceleration Factor (PSOCIWAC) and Particle Swarm Optimization with Time Varying Constrict Factor (PSOTVCF) in accuracy and time， the experimental results showed that based on the PSOCIWAC and PSOTVCF methods， the convergence accuracy of PMPSO method is improved by 10 000 and 100 times， respectively and it also have great advantages in time.
李君妍,童亚拉. 改进的粒子群算法在太阳能光伏发电资料同化中的应用研究[J]. 华中师范大学学报(自然科学版), 2021, 55(4): 567-572.
LI Junyan,TONG Yala. Research on data assimilation in solar photovoltaics power generation based on improved PSO algorithm. journal1, 2021, 55(4): 567-572.
2021, Vol. 55 
