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Delegates are invited to meet and discuss with the poster presenters in this topic directly after the session 'Advanced rotor technologies' taking place on Tuesday, 11 March 2014 at 11:15-12:45. The meet-the-authors will take place in the poster area.

Ernesto Saenz CENER, Spain
Co-authors:

(1) CENER, Sarriguren (Pamplona), Spain (2) AIN, Pamplona, Spain (3) INDEOL, Pamplona, Spain

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Abstract

Integration of a new blade smart system into wind turbines

Introduction

In the last years various blade smart systems have been integrated into wind turbines (WTs) to reduce the loads in the WT components without affecting the energy production. One of them integrates the individual pitch control (IPC).
Nowadays, some wind farms have started to be decommissioned after 20 years of operation. This process will be increased in the forthcoming years. However, the owners of the wind farms are raising the question if it is possible to extend the operation span of their WTs and what tools or strategic they have to follow.


Approach

Before the IPC implementation in a turbine, it is required to evaluate if the IPC will reduce the blade loads. Next, all the equipments to be used in the WT shall be tested and validated to guarantee that the full system will work properly.
The acquired blade loads for the IPC can also be used to optimize the blade design and to estimate the remaining life of the WTs after their post processing. This require the data storage of blade loads, feature that has not been integrated in many WTs.


Main body of abstract

The development and validation of a new control and post processing system is presented in this paper. The full system integrates IPC, data storage and data post processing. In order to not interfere with the turbine control system (TCS), the IPC algorithm is installed in an equipment named INTROL, which is located close to the TCS equipment. INTROL is connected to the data acquisition system, to the TCS and to wind farm sub-station. The data acquisition installed in the hub provides local strains of the blades; the TCS provides the azimuth and pitch of each blade and the instant electrical energy produced by the WT. The data from all the WTs of the wind farm are stored and post processed in the sub-station to provide the estimated remained life of each WT. The data is transmitted to INTROL from the hub via wireless and from the TCS and to the sub-station via wire.
The work was divided in 3 phases. In Phase 1 the software was developed and validated at PC level. In Phase 2 the full system, with the main equipments, was tested and validated at laboratory level. In Phase 3 the system was integrated into a 1.5 MW turbine where the data acquisition and transmission were validated.


Conclusion

A new control and post processing system that integrates IPC, data storage and data post processing was developed and validated at laboratory level and integrated in a 1.5 MW turbine. The obtained results demonstrated that the system reduced the loads in a WT and will serve to estimate the remaining life of the WT.


Learning objectives
To acquire the knowledge on: how the new smart blade system works, what were the phases for its validation and how it was integrated into a turbine.