DocumentCode
1777839
Title
An improved generation planning method incorporating renewable energy policy
Author
Can Dang ; Xifan Wang ; Yunpeng Xiao ; Chao Du ; Wentao Zhang
Author_Institution
Dept. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
759
Lastpage
766
Abstract
This paper introduces a generation expansion planning (GEP) method which incorporates renewable energy policies and evaluates their effects. A robust and flexible heuristic algorithm is applied to solve the GEP problem. Renewable energy policies are categorized into two groups: policy orientation and economic measures, according to their implementation methods. For each kind of policy, a model fully considering its characteristics is established, and a complementation method is comprised in GEP decision making process. Effects of different renewable energy policies on system indices are analyzed and compared with each other, like renewable energy portfolio, reliability, total investment and operation costs. Case studies show that under different renewable energy policies, an economical and reliable generation expansion plan can be achieved. Results may provide information and suggestions for researchers or policy makers.
Keywords
decision making; government policies; power generation economics; power generation planning; renewable energy sources; decision making process; economic measures; flexible heuristic algorithm; generation expansion planning; generation planning; operation costs; policy orientation; power system reliability; renewable energy policy; renewable energy portfolio; total investment; Investment; Mathematical model; Planning; Portfolios; Power generation; Power systems; Renewable energy sources; Generation expansion planning; renewable energy; renewable energy policy;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/POWERCON.2014.6993862
Filename
6993862
Link To Document