DocumentCode :
135386
Title :
Probabilistic approach to describe greenhouse gas emissions and their impact in the operation of insular power systems
Author :
Lujano-Rojas, J.M. ; Osorio, G.J. ; Catalao, Joao P. S.
Author_Institution :
Univ. of Beira Interior, Covilha, Portugal
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Environmental problems related to the conventional generators have motivated governmental policies all over the world in order to incorporate alternative power sources to reduce greenhouse gas (GHG) emissions and fossil-fuel consumption. On the one hand, wind power generation can increase GHG emissions of the others conventional generators connected to the system. On the other hand, wind energy is characterized by its variability that imposes challenges in the operation of the power system. In order to integrate GHG emissions estimation and the uncertainty related to the wind power generation, a probabilistic point of view is presented in this paper to estimate the probability distribution function (PDF) of the GHG emissions of a typical insular power system. The PDF of power production of each conventional generator is calculated, and then the expected value of the total GHG emissions is estimated.
Keywords :
air pollution; power generation dispatch; power generation economics; probability; wind power; GHG emissions estimation; PDF; alternative power sources; environmental problems; fossil-fuel consumption; governmental policies; greenhouse gas emissions; insular power system; probability distribution function; wind energy; wind power generation; Generators; Power systems; Probabilistic logic; Probability density function; Production; Uncertainty; Wind power generation; Economic dispatch; Wind power; greenhouse gas emissions; insular power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939332
Filename :
6939332
Link To Document :
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