Electric Energy from the Hybrid Wind-Solar Thermal Power Plants

被引：0

作者：

Aliyu, Hassan ^{[1
]}

Agee, John T. ^{[2
]}

机构：

[1] Tshwane Univ Technol, Dept Elect Engn, Pretoria, South Africa

[2] Univ Kwazulu Natal, Dept Elect Engn, Durban, South Africa

来源：

2016 IEEE PES POWERAFRICA CONFERENCE | 2016年

关键词：

CSP; dispatch; hybrid; neural network; wind;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper prediction and dispatch of electric energy from a large wind power plant and a solar thermal plant is proposed. The turbines in the wind power plant shall be grouped according to types, power output and geographic location. Neural Network methods shall be employed to predict the power output from each group and the entire wind farm. The output from each group is connected through an electric heating system to a solar thermal power plant (CSP) system. In this model the wind power plant would be flexible and reconfigurable to meet specific energy requirements of the combined heating system. The wind electric heating system shall operate alongside solar thermal heating system to compliment for periods when wind is insufficient. This model shall mitigate issues of power stability on the grid due to variability and intermittency of wind energy supply.

引用

页码：264 / 268

页数：5

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