A Prediction Model of Photo-thermal Power Generation Based on G(1,1)Optimization
In this paper,the photo-thermal power generation model is obtained by studying the operation process of solar radiation,light and thermal power generation equipment.By solving the gray model parameters by particle swarm optimization,a prediction model of light and heat generation based on G(1,1)optimization is proposed.In the case of example analysis,the amount of electricity generated by the solar radiation in the past few years was based on the photo-thermal power generation model,and the light and thermal power generation prediction model is used to obtain the photo-thermal power generation in the next few years.Photo-thermal power generation will provide data support for the planning of photo-thermal power generation,and it will also verify the reasonableness of the prediction model.
WANG Yuan LI Gaojia YUE Wenhao
Xian Aeronautical University,710077 Xian,Shaanxi Province,China
国际会议
2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)
北京
英文
1-4
2018-10-12(万方平台首次上网日期,不代表论文的发表时间)