PROBABILISTIC PRODUCTION COST CREDIT EVALUATION OF WIND TURBINE GENERATORS

被引：0
|
作者：
Park, Jeongje [1 ]
Liang, Wu [1 ]
Choi, Jaeseok [1 ]
El-Keib, A. A. [2 ]
Watada, Junzo [3 ]
机构：
[1] Gyeongsang Natl Univ, ERI, Dept Elect Engn, Jinju, GN, South Korea
[2] Petr Inst, Dept Elect Engn, Abu Dhabi, U Arab Emirates
[3] Waseda Univ, Grad Sch Informat Prod & Syst, Fukuoka, Japan
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2009年 / 5卷 / 11A期
关键词：
Probabilistic production cost credit; Wind turbine generator; Wind speed credit; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：3635 / +
页数：10
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