DocumentCode
570559
Title
The investment risk weight calculation of photovoltaic power projects based on improved multi-level analytical hierarchy process
Author
Jun, Liu ; Rui, Liu ; Min, Liu ; Jun-ming Gu ; Zhi, Zhang
Author_Institution
Dept. of Electr. Eng., Guizhou Univ., Guiyang, China
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
5
Abstract
Photovoltaic(PV) power generation is one of the important ways to ensure that our country´s energy security and realize the sustainable development of energy, but carrying on the investment risk assessment has become the focus of the difficulty and risk decision. Firstly this paper established its risk evaluation index system according to PV power project investment risk characteristics, and then used the improved multi-level analytic hierarchy process analysis method and through the PV power project example for risk weight calculation. Examples show that investment decision-making risk PV power is mainly influenced by the output volatility and government support two factors. So, PV power projects investment should keep the project in the solar energy resources abundant geographical environment ,then choose highly conversion efficiency PV cells and the highly quality of PV power generation components; The department of energy and the government need to develop more effective policies and measures to increase PV power industry support.
Keywords
decision making; investment; photovoltaic power systems; power generation economics; risk management; geographical environment; investment decision making risk; investment risk weight calculation; multilevel analytical hierarchy process; photovoltaic power generation; photovoltaic power industry; photovoltaic power project; risk evaluation index; solar energy resource; Delay; Government; Indexes; Investments; Power generation; Vectors; Improved multi-level analytic hierarchy process; Photovoltaic power; Risk weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location
Tianjin
Print_ISBN
978-1-4673-1221-9
Type
conf
DOI
10.1109/ISGT-Asia.2012.6303387
Filename
6303387
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