TY - JOUR
T1 - Probabilistic production cost credit evaluation of wind turbine generators
AU - Park, Jeongje
AU - Liang, Wu
AU - Choi, Jaeseok
AU - El-Keib, A. A.
AU - Watada, Junzo
PY - 2009/11
Y1 - 2009/11
N2 - This paper proposes an algorithm for probabilistic production cost credit evaluation of wind turbine generators (WTG). Renewable energy resources such as wind, solar, micro hydro, tidal and biomass etc. are becoming increasingly important because of the increased interest in protecting the environment. Wind energy is one of the most successfully used renewable energy sources used to produce electrical energy. The proposed approach was implemented on a power system that includes WTGs. Test results demonstrates the viability of the proposed approach for assessing the wind speed credit from the economics view point.
AB - This paper proposes an algorithm for probabilistic production cost credit evaluation of wind turbine generators (WTG). Renewable energy resources such as wind, solar, micro hydro, tidal and biomass etc. are becoming increasingly important because of the increased interest in protecting the environment. Wind energy is one of the most successfully used renewable energy sources used to produce electrical energy. The proposed approach was implemented on a power system that includes WTGs. Test results demonstrates the viability of the proposed approach for assessing the wind speed credit from the economics view point.
KW - Probabilistic production cost credit
KW - Wind speed Credit
KW - Wind turbine generator
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M3 - Article
AN - SCOPUS:71149110839
SN - 1349-4198
VL - 5
SP - 3637
EP - 3646
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
IS - 11
ER -
