Title :
A Minimal Budget Approach algorithm for integration of clean energy to electricity systems
Author :
Ding, Jinxu ; Somani, Arun
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
In order to reduce green house emission, some clean energy policies have been approved or are being designed to stimulate clean energy development in electricity systems of some countries. The implementation of these clean energy policies needs a huge investment of money because this will reform the backbones of the energy infrastructure in these countries. Thus, it is important to find out how to minimize the investment meanwhile meet the growing power demand and satisfy the clean energy policies. This issue plays an important role in the development of a country in the aspects of economics, environment and energy. In this paper, we focus on the above issue and propose a Minimal Budget Approach (MBA) algorithm, which can help decison makers to find out how to realize the clean energy policies, meet increasing power demand and keep the budget as small as possible.
Keywords :
climate mitigation; climatology; decision making; demand side management; power markets; MBA algorithm; clean energy development; clean energy policy; decison maker; electricity system; greenhouse emission; investment; minimal budget approach algorithm; power demand; Biological system modeling; Investments; Planning; Power demand; Power markets; Wind power generation; Clean energy; Electricity systems; Optimization models; RPS; Reduced green house emissions;
Conference_Titel :
Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), 2010 IEEE Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-6076-2
DOI :
10.1109/CITRES.2010.5619868