Reference wind farm selection for regional wind power prediction models

نویسندگان

  • Nils Siebert
  • George Kariniotakis
چکیده

Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals with the case of regional forecasting of wind power with a large number of wind farms involved. Due to the large amount of potentially available information and also because part of the wind farms may not be "observable", forecasting systems use input from selected “reference” wind farms to predict the total wind power. The paper studies the influence of the reference farms on the prediction accuracy and proposes a methodology for their selection, based on advanced statistical analysis of the spatial-temporal characteristics of wind generation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

پیشگویی گام‌ـ بلند سرعت باد مبتنی بر مدل ترکیبی RNNGA

For proper and efficient utilization of wind power, the prediction of wind speed is very important. Wind is one of the main sources of energy in the world, but the wind turbines have a lack of reliability, continuity and homogeneity in power production. On the other hand, sudden changes of wind speed, lead to risk for wind turbine units health. Therefore, the prediction of wind speed for turbin...

متن کامل

An advanced model for the short-term forecast of wind energy

A novel short-term wind energy forecasting method, which is being developed under the UBDIBM renewable energy modeling initiative, is described in this paper. The paper starts with a brief review on the existing forecasting methods. Prediction models based on the physical (derived from Numerical Whether Prediction models) and Time Series approaches are discussed. The prediction errors under the...

متن کامل

Wind farm power prediction: a data-mining approach

In this paper, models for shortand long-term prediction of wind farm power are discussed. The models are built using weather forecasting data generated at different time scales and horizons. The maximum forecast length of the short-term prediction model is 12 h, and the maximum forecast length of the long-term prediction model is 84 h. The wind farm power prediction models are built with five d...

متن کامل

Wind Turbine Power Curve Modeling Using Parametric Approach

Abstract: In recent years, due to the limitation of fossil fuels and the environmental Impact of using these fuels, focusing on renewable energy sources has increased significantly. In developed countries, using clean energy such as wind power has been considered as an alternative source. Monitoring the performance of wind turbines and controlling their output power quality is one of the import...

متن کامل

Wind Speed and Power Prediction Using Artificial Neural Networks

Short-term wind prediction over different time steps is vital for wind farms in operation for various applications. Considering the complexity of atmospheric processes governing wind, time series models are preferred over physical models for wind prediction. Artificial neural networks (ANNs), which perform a non-linear mapping between inputs and outputs, provide an alternative approach for wind...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006