A dynamic model for generation expansion planning based on Conditional Value-at-Risk theory under Low-Carbon Economy-Reference-Cited by-同舟云学术

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A dynamic model for generation expansion planning based on Conditional Value-at-Risk theory under Low-Carbon Economy

Published:2016-12 Issue: Volume:141 Page:363-371
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Lu Zhigang,Qi Jintao,Wen Bo,Li Xueping

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference31 articles.

1. Power generation planning: a survey from monopoly to competition;Kagiannas;Int. J. Electr. Power Energy Syst.,2004

2. A multiobjective evolutionary programming algorithm and its applications to power generation expansion planning;Meza;IEEE Trans. Power Syst.,2009

3. A new efficient GA-Benders’ decomposition method: for power generation expansion planning with emission controls;Sirikum;IEEE Trans. Power Syst.,2007

4. GA-decomposition methods for power generation expansion planning with emission controls;Sirikum,2006

5. Least cost generation expansion planning for a regional electricity board in India considering green house gas mitigation;Srivastava,2000

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