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System and method for wind speed correction of anemometer on wind turbine

IP.com Disclosure Number: IPCOM000238314D
Publication Date: 2014-Aug-18
Document File: 5 page(s) / 113K

Publishing Venue

The IP.com Prior Art Database

Abstract

The inaccuracy of anemometer on wind turbine could cause unreasonable start and stop of wind turbine, thus cause low power efficiency and poor prediction of wind power. It mainly caused by two reasons: turbulent wake between adjacent turbines and artificial adjustment by wind turbine manufacturers. We propose a system and method for wind speed correction of anemometer on wind turbine, which could correct the wind speed caused by the two factors at the same time, thus obtains more accurate actual wind speed at wind turbine location, so that repair cost and the fine caused by power prediction assessment could be reduced.

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System and method for wind speed correction of anemometer on wind turbine


1) Problem background


Wind energy has a big business, but power generation of many wind turbines decreased year by year. One important reason is the inaccurate evaluation of power performance. Normally, power curve, functional relationship between the wind speed at wind turbine location and power generation, is used to estimate the wind turbines generation performance, by comparing theoretical power curve and actual power curve. However, the anemometer on wind turbine may have big error. The inaccuracy of anemometer on wind turbine could cause unreasonable start and stop of wind turbine, thus cause low power efficiency and poor prediction of wind power.

Actually, we have three kinds of wind speed concepts. One is measured from wind tower, called V0, the second is actual wind speed at wind turbine location V1, and the third one is wind speed measured by anemometer installed on the wind turbine V2.

How to evaluate the real power curve? We need to build the relationship between actual wind speed at wind turbine location V1 and power generation produced by the wind turbine, thus to get correct value of V1 is vital important. The problem is V1 cannot be measured directly. V0 has some relationship with V1, but not in linear: for the wind tower and wind turbine in the same area, the closer the distance, the smaller their difference. Besides, there exists nonlinear relationship between V1 and V2, mainly caused by two reasons: turbulent wake between adjacent turbines and artificial adjustment by wind turbine manufacturers.

Thus we need to correct value of V2 to be closest to value of V1. A smart and accurate method has to be invented to correct wind speed so that repair cost and the fine caused by power prediction assessment could be reduced.


2) Currentmethods


In order to estimate the actual wind speed at wind turbine location, there are two kinds of method currently. The one is a direct measurement by using equipment like laser radar to measure the actual wind speed V1 without wake effect, which is very expensive and space-consuming. Each device cost over $8,000 every year, but could cover generally in the range 2~3 km, most 2-3 wind turbines. The other method is based on an assumption that wind speed at wind tower V0 equals to actual wind speed at wind turbine location V1, and then builds the linear relationship between V0 and wind speed measurement value from anemometer on wind turbine V2. However, the assumption is too strong, and linear relationship between V0 and V2 is not correct.

Currently there is no method to correct the measurement wind speed V2 caused by the two factors (turbulent wake and artificial adjustment) at

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