新能源形势下的“智慧汽轮机”及其研究进展  

“Intelligent Steam Turbine” and Its Advances Under New Energy Circumstance

作　　者：谢永慧[1] 刘天源[1] 张荻[1] XIE Yonghui;LIU Tianyuan;ZHANG Di(School of Energy and Power Engineering,Xi’an Jiaotong University,Xi`an 710049,Shaanxi Province,China)

机构地区：[1]西安交通大学能源与动力工程学院,陕西省西安市710049

出　　处：《中国电机工程学报》2021年第2期394-408,共15页Proceedings of the CSEE

摘　　要：将信息技术的最新成果应用于汽轮机设计、制造和运维等各环节有助于满足新的能源形势下对汽轮机高效、灵活发电的需求。论文提出"智慧汽轮机"的概念,说明其架构、特点以及全寿命周期解决方案,介绍以机器学习和深度学习为代表的人工智能算法在"智慧汽轮机"通流设计、控制策略、故障预测、知识迁移等方面的应用,总结"智慧汽轮机"发展亟待解决的6个关键问题,为发展"智慧汽轮机"提供了思路和具体的示例。The application of the latest achievements of information technology to the design, manufacture, operation and maintenance of steam turbines contributes to the demand for efficient and flexible power generation of steam turbines under the new energy situation. The paper proposed the concept of "intelligent steam turbine", and illustrated its structure, characteristic and life-cycle solution. The artificial intelligence algorithms represented by machine learning and deep learning were introduced for the applications in design, control strategy, fault prediction, knowledge transfer and etc. of "intelligent steam turbine". Six key issues to be urgently solved in the development of "intelligent steam turbines" were concluded, which provides ideas and specific examples for its development.

关 键 词：智慧汽轮机 智慧电厂 能源转型 人工智能 机器学习 深度学习 

分 类 号：TK26[动力工程及工程热物理—动力机械及工程]