摘要： 我國新能源近年發(fā)展迅速，風(fēng)電已成為了目前主要的發(fā)電方式之一。隨著大數(shù)據(jù)、人工智能、物聯(lián)網(wǎng)、云計(jì)算、自然語言處理技術(shù)的發(fā)展和國家政策的支持，大數(shù)據(jù)分析在風(fēng)電智能化領(lǐng)域逐步得到廣泛應(yīng)用。通過對風(fēng)電數(shù)據(jù)采集與監(jiān)視控制(Supervisory Control and Data Acquisition,SCADA)系統(tǒng)重新進(jìn)行架構(gòu)設(shè)計(jì)，搭建了一套基于SCADA的風(fēng)電數(shù)據(jù)分析平臺，將數(shù)據(jù)進(jìn)行歸類、采集、傳輸、預(yù)處理、存儲。平臺將風(fēng)電數(shù)據(jù)進(jìn)行重新定義，從多個(gè)維度對設(shè)備及系統(tǒng)進(jìn)行實(shí)時(shí)評價(jià)，同時(shí)引入多元狀態(tài)估計(jì)技術(shù)驗(yàn)證了平臺可以對模型的性能指標(biāo)有更好的提升。該研究旨在通過大數(shù)據(jù)分析進(jìn)行故障預(yù)警及操作指導(dǎo)，建立具有新型能源體系的智能管控平臺，進(jìn)而提高風(fēng)電場的運(yùn)維效率和可靠性。
Design and implementation of wind power data analysis platform based on SCADA
Wang Xin，Xu Song， Leng Ke
Intelligence Technology of CEC Co., Ltd.
Abstract： In recent years, China′s new energy has developed rapidly, and wind power has become one of the main power generation methods. With the development of big data, artificial intelligence, the Internet of Things, cloud computing, and natural language processing technologies, as well as the support of national policies, big data analysis has gradually been widely applied in the field of wind power intelligence. By redesigning the architecture of the Supervisory Control and Data Acquisition (SCADA) system for wind power, a SCADA-based wind power data analysis platform was built to classify, collect, transmit, preprocess and store the data. The platform redefines wind power data, evaluates equipment and systems in real time from multiple dimensions, and introduces multivariate state estimation technology to verify that the platform can better improve the performance indicators of the model. This research aims to use big data analysis to conduct fault warning and operation guidance, establish an intelligent control platform with a new energy system, and thereby improve the operational efficiency and reliability of wind farms.
Key words : SCADA;wind power; big data; data analysis
