Prediction of water-light output in water-light complementary systems

College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu, 211100, China

^a Yan, Tian Xiao, 2395588586@qq.com
^b Fan Hui Ying, 1366717902@qq.com
^c* Corresponding author: Guo, Su,: guosu81@126.com

Abstract

With the increasing demand of electricity consumption for social development, China has vigorously promoted the development of renewable energy such as wind and solar energy in recent years. Since photovoltaic power generation has the characteristics of randomness, intermittency and volatility, which are not conducive to dispatching and grid-connection, and hydroelectric power generation has the characteristics of fast start-up and good peak adjustment, etc. Therefore, through the study of multiple linear regression model neural network prediction model Markov chain and other methods, the hydraulic resource output prediction model and photovoltaic resource output prediction model are built. The combination of the two can be used to predict the output of water and light resources more accurately and promote the development of water and light complementary industry in China. At present, there are few researches on the coupling of hydroelectric output and photovoltaic output at home and abroad. In this paper, the prediction of water-light output in water-light complementary systems by other scholars is reviewed.