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 :
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