Load profile synthesis and wind-power-generation prediction for an isolated power system

被引：27
作者：
Kang, Meei-Song [1 ]
Chen, Chao-Shun
Ke, Yu-Lung
Lin, Chia-Hung
Huang, Chia-Wen
机构：
[1] Kao Yuan Univ, Dept Elect Engn, Kaohsiung 821, Taiwan
[2] I Shou Univ, Dept Elect Engn, Kaohsiung 840, Taiwan
[3] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung 80424, Taiwan
[4] Kun Shan Univ, Dept Elect Engn, Tainan 710, Taiwan
[5] Res Inst Taipower, Load Management Res Lab, Taipei 100, Taiwan
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2007年 / 43卷 / 06期
关键词：
load profile synthesis; load survey; probabilistic neural network (PNN); wind-power-generation prediction;
D O I：
10.1109/TIA.2007.908208
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper investigates the power load composition of an isolated power system using a load survey study and estimates wind power generation with a probabilistic network. The typical load pattern of various customer classes is derived, which are then used to derive the total power consumption of all customers within each class. A probabilistic neural network is used to solve the wind power generation based on the wind speed for an offshore island in Taiwan. With the hourly wind speed and load composition, the power generation of diesel generators was obtained. Results of this paper demonstrate that wind power generation can economically and effectively replace the power generation of the island's diesel power plant and provide partial power-supply capability for the net peak load requirement.
引用
收藏
页码：1459 / 1464
页数：6
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