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     Research Journal of Applied Sciences, Engineering and Technology


The Electricity Portfolio Decision-making Model Based on the CVaR under Risk Conditions

Ma Tongtao and Li Cunbin
School of Economics and Management, North China Electric Power University, Beijing 102206, China
Research Journal of Applied Sciences, Engineering and Technology  2014  3:570-575
http://dx.doi.org/10.19026/rjaset.7.292  |  © The Author(s) 2014
Received: March 04, 2013  |  Accepted: March 27, 2013  |  Published: January 20, 2014

Abstract

With the gradual opening up of China's power sector, electricity investment is growing. Risk analysis should be applied to the investment optimization decisions. This study describes a CVaR-based investment optimization model, which established electricity portfolio decision-making model to optimize the ratio of investment decision-making and achieve the maximum yield of the total investment target between the various modes of generation. An example was given to verify the validity of the model based on the actual data. Based on simulation results of the example, the ratio of investment in a certain confidence level has been well optimized. The model can play purposes for overall investment risk reduction.

Keywords:

Risk analysis, the electricity investment, the optimization model,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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