Short-Term Wind Power Forecast for Economic Dispatch

被引：0

作者：

Marzbani, Fatemeh ^{[1
]}

Osman, Ahmed ^{[1
]}

Hassan, Mohamed ^{[1
]}

Landolsi, Taha ^{[1
]}

机构：

[1] Amer Univ Sharjah, Coll Engn, Sharjah, U Arab Emirates

来源：

2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO) | 2013年

关键词：

Wind Energy; Wind Power Forecast; Economic Dispatch; Renewable Energy; Time-Series Analysis; SPEED PREDICTION; GENERATION; NETWORK; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Integration of wind power generation with existing power systems requires accurate forecasting of wind power due to its intermittent nature. Accurate wind power forecast can help system operators to include wind power in economic dispatch and unit commitment problems. In this paper, a simple window-based, adaptive-parameter regression model for short-term wind power forecasting that can be used in system operation is developed. In order to assess the accuracy of the forecasted wind power, the output of the prediction is used to solve the economic dispatch problem using a genetic algorithm (GA) technique.

引用

页数：6

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