A Study of Photovoltaic Power Prediction

2015 ◽  
Vol 733 ◽  
pp. 203-206 ◽  
Author(s):  
Yan Long Li ◽  
Jing Xu ◽  
Chong Yuan

Solar photovoltaic power generation as an inexhaustible, inexhaustible clean energy has become the focus of future energy development. Along with photovoltaic power generation incorporated into the power grid, in order to make power generation plan reasonably, ensure the stable operation of power system, need to forecast the photovoltaic power output. In this paper solar photovoltaic power generation forecasting methods are analyzed and summarized. According to the application of solar photovoltaic power generation and demand, mainly on photovoltaic power generation system power prediction research method has carried on the comprehensive elaboration, hoping for the researches play an important role in promoting and advancing the development of solar photovoltaic prediction methods.

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Guomin Zhao ◽  
Min Li ◽  
Lv Jian ◽  
Zhicheng He ◽  
Jin Shuang ◽  
...  

Because of increasing energy consumption and severe air pollution in China, solar photovoltaic power generation plants are being deployed rapidly. Owing to various factors such as technology, construction, and imperfection of construction standards, solar photovoltaic systems have certain fire risks. This paper focuses on the fire risks of building-integrated solar photovoltaic buildings, as well as temperature and heat flow density near a photovoltaic system in a fire. Based on FDS simulation results, the influence of different building fires on photovoltaic systems is analysed. It is found that the influence of fire on photovoltaic systems installed on a building with a flat roof is stronger than that on a system installed on a building with a sloping roof; the influence of fire on a photovoltaic system installed on a building with external wall thermal insulation is stronger than that on a system installed on a building without such insulation; and in the presence of a skylight, a photovoltaic system installed on a building with a sloping roof is more dangerous.


2012 ◽  
Vol 608-609 ◽  
pp. 46-50
Author(s):  
Xiao Hong Zhang ◽  
Xin Li ◽  
Jin Ping Liang

As the world economic development, environmental problems are increasingly serious and renewable energy use by the peoples of common concern. Beijing as the capital of China, is a densely populated city, the increasingly serious environmental problems, the energy consumption also increases, which not only affects people's daily life, but also influence the whole nation's image. The development of solar photovoltaic (PV) generation in Beijing has certain inevitability; its development is mature day after day. But in the course of its development there still exist various problems, therefore, the development of photovoltaic power generation system in Beijing also need further perfect and corresponding support.


2011 ◽  
Vol 366 ◽  
pp. 117-120
Author(s):  
Shao Bo Li ◽  
Wei Ping Luo

Solar power system for its stable and reliable, easy to install, operate and maintain simple, has been more and more widely used. In the large-scale use of solar power generation equipment at the same time, due to its characteristics of the reasons for the installation of equipment from lightning over-voltage and increase the probability of damage, seriously endangering the safety of solar power generation system. Study of the solar system lightning delay.


2012 ◽  
Vol 429 ◽  
pp. 222-228 ◽  
Author(s):  
Gu Ping Zheng ◽  
Wei Yang

Solar photovoltaic power is a new form of new energy. It is the energy conversion model that change solar energy into light energy. This article is that energy conversion model of solar photovoltaic power generation system was studied. For household photovoltaic power generation systems, the system’s energy conversion is described by mathematical calculation and computer simulation. It makes an intensive study of the process of radiation, battery energy and power conversion during the whole course of the solar photovoltaic power generation.


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