Electrical Signal Data Mining for Diagnosis, Monitoring, and Prediction in Wind and Solar Power Plants.

用于风能和太阳能发电厂诊断、监测和预测的电信号数据挖掘。

基本信息

批准号：
537810-2019
负责人：
Chandra, Ambrish
金额：
$ 1.82万
依托单位：
École de technologie supérieure
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2019
资助国家：
加拿大
起止时间：
2019-01-01 至 2020-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680620
关键词：
Electrical Signal Data Mining Diagnosis

项目摘要

ELECTRICAL SIGNAL DATA MINING FOR DIAGNOSIS, MONITORING, AND PREDICTION IN WIND AND SOLAR POWER PLANTSUtilization of renewable energy-based power plants has been considerably augmented in Canada's power network. Among different renewable energy technologies, wind and solar energies have the highest share. Reduction of operation and maintenance (O&M) costs has been the focal point of research in the recent decade. Arista Renewable Energies has a vast database of different power plants gathered by Supervisory Control And Data Acquisition (SCADA) at 1 Hz frequency. These data will be used to develop a proper Electrical Condition Monitoring (CM) tool. Afterwards, the developed tool will be merged with DIGNOSTIX tool, which is a software developed by Arista to conduct Mechanical CM. The result will be a comprehensive CM tool which includes both Electrical and Mechanical aspects. The computer science and data mining concepts will be utilized to move from a manual CM toward a smart CM. The developed smart CM will be able to interpret gathered data and diagnose existing faults or underperformance of system and also, predict future failures which can decrease O&M costs noticeably and help Arista to maintain its competitive-edge and increase efficiency of wind and solar power plants in Canada.

在加拿大的电力网络中，用于可再生能源电厂的风能和太阳能电厂的诊断，监测和预测的电信号数据挖掘已经大大增加了。在不同的可再生能源技术中，风能和太阳能的份额最高。在最近十年中，降低运营和维护（O＆M）成本一直是研究的重点。 Arista可再生能源具有一个大量的数据库，这些数据库由监督控制和数据采集（SCADA）以1 Hz频率收集。这些数据将用于开发适当的电气状况监测（CM）工具。之后，开发的工具将与Dignostix工具合并，Dignostix工具是由Arista开发的用于进行机械CM的软件。结果将是一个全面的CM工具，其中包括电气和机械方面。计算机科学和数据挖掘概念将用于从手动CM转向智能CM。开发的智能CM将能够解释收集的数据并诊断现有的故障或系统表现不佳，并且还可以预测未来的故障，这可能会明显降低O＆M的成本，并帮助Arista保持其竞争性边缘和加拿大风和太阳能发电厂的效率。