Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 21)
Article Information:

The Power Generation Capacity Investment Model Basing on the Newton KKT Interior-point Method under the Market Environment of Low Carbon

Zeng Ming, Ma Shaoyin, Ma Mingjuan, Xue Song and Shi Hui
Corresponding Author:  Zeng Ming 

Key words:  Carbon emissions trading, generation capacity investment model, green certificate, Newton KKT interior-point method, oligopoly, ,
Vol. 6 , (21): 3993-4002
Submitted Accepted Published
January 25, 2013 March 02, 2013 November 20, 2013
Abstract:

Under the market environment of low carbon, whether renewable energy can obtain the power for sustainable development, promote the goal of the whole society and make money for investors depends on the rational optimization of power investment capacity and achieving power generation resources coordinated scheduling. This study constructs an expansion model of the generation capacity investment taking oligopoly, policy tools, carbon emissions trading right and green certificate system into account and uses the case analysis of the impact of ETS mechanism and the Tradable Green Certificate mechanism on power generation enterprises investment capacity with Newton KKT interior-point method. This study can also provide a strong decision basis for policy making.
Abstract PDF HTML
  Cite this Reference:
Zeng Ming, Ma Shaoyin, Ma Mingjuan, Xue Song and Shi Hui, 2013. The Power Generation Capacity Investment Model Basing on the Newton KKT Interior-point Method under the Market Environment of Low Carbon.  Research Journal of Applied Sciences, Engineering and Technology, 6(21): 3993-4002.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved