Abstract

At home and broad, more wind power is being installed in electricity markets, the influence brought by wind power become more important on power system stability, especially the fluctuation, the uncertainty in wind power production and multi-time scale of the wind. In order to forecast ramp events before the power system encountering failure, so that the operator can adopt some limited controlling strategy. This paper introduces the present status of the wind power ramp prediction at home and abroad. And it gives out four kinds of definitions of ramp events, which are used by many scholars, then provides various forecasting error algorithm. In the aspect of prediction models, it comes up with physical models and statistical models, and enumerates various examples of different models. Finally, it prospects the tendency of the model improvement about the wind power ramp events forecasting, which would be significant for ramp research.

Highlights

  • It brings both opportunities and challenges after the wind power accessing the grid

  • More wind power is being installed in electricity markets, the influence brought by wind power become more important on power system stability, especially the fluctuation, the uncertainty in wind power production and multi-time scale of the wind

  • This paper introduces the present status of the wind power ramp prediction at home and abroad

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Summary

Introduction

It brings both opportunities and challenges after the wind power accessing the grid. The use of fossil fuel has been increasing for many years in the world and it generates lots of greenhouse gases. More and more countries have wind farm to provide power output and face the ramp events at the same time. Though many countries are on the wind power generation, but wind power output is still caught short in the world. The installed wind capacity in the Bonneville Power Administration (BPA) is currently over 2000 MW and is expected to increase to over 3000 MW At this capacity, the wind ramps can be quite large changing by nearly 1000 MW in an hour [3]. The last section is conclusion and the tendency on wind ramp prediction

Ramp Definition
Prediction Accuracy Metrics
A E t y t y t
Classification
Classical Prediction Models
Ramp Prediction Models
Findings
Conclusions and Tendency
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