Calculation and Analysis of Wind Turbine Health Monitoring Indicators Based on the Relationships with SCADA Data

Fan Zhang,Hengzheng Wan,Jie Jiao,Bing Zeng,Zejun Wen,Deshun Liu

doi:10.3390/app10010410

Abstract

This paper proposes an evaluation index of wind turbine generator operating health based on the relationships with SCADA (Supervisory Control and Data Acquisition) data. First, the relationship among the data from a wind turbine SCADA system is thoroughly analyzed. Then, a time based sliding window model is used to process the SCADA data by the bin method, and a running state model of the wind turbine is established by data fitting. Taking the normal operation state model of the wind turbine as the standard reference and based on the Euclidean distance between the state model curve and the standard model curve, the health index of the wind turbine operation state is proposed. Finally, using SCADA data from two 2 MW direct-drive wind turbines as examples for analysis and discussion, the results show that: (1) health indicators have good stability and sensitivity to wind turbine operating conditions; (2) the width of the data window in the sliding window model must cover all operating conditions of the wind turbine to ensure that the health index depicts the operating state of the wind turbine; (3) the data window width, window increment, and data fitting modeling all affect the health indicators, and thus, the selection of the sliding window model parameters and the data relationship modeling methods should consider the accuracy and real-time performance of the health indicators; and (4) the data acquisition cycle does not affect the health indicators. Once the basic characteristics of the data relations are known, direct data fitting modeling is more efficient than bin preprocessing modeling.

Highlights

IntroductionBy the end of 2018, the world’s newly installed wind power capacity was 51.3 GW, and the world’s cumulative installed wind power capacity reached 591 GW [1]
In recent years, the world wind power industry has developed rapidly
A change in the wind is reflected in a relationship between the wind speed and power is turbine the mostoperating importantstate relationship among difference between its wind speed and power in curve; many researchers the operating wind turbine operating conditions

Summary

Introduction

By the end of 2018, the world’s newly installed wind power capacity was 51.3 GW, and the world’s cumulative installed wind power capacity reached 591 GW [1]. The single unit capacity of wind turbines has increased from 30 kW several decades ago to 8 MW at present. With the continuous increase in the installed capacity, wind turbines are being deployed to more remote land and sea locations. Difficulties in maintenance lead to increased operating costs of wind farms and increased electricity consumption costs for customers, requiring more stringent requirements for the reliable and economical operation of wind turbines. To determine the real-time operation status of wind turbines and to implement reasonable maintenance of wind turbines, modern large wind turbines are equipped with SCADA

Methods

Results

Conclusion