Design of Photovoltaic Power Station Intelligent Operation and Maintenance System Based on Digital Twin

Jiaxin Liu, Xuecheng Lu, Yuxiao Zhou, Juyong Cui, Shuai Wang, Zhenwei Zhao
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引用次数: 4

Abstract

With the proposal of “peak carbon dioxide emissions” and “carbon neutrality” goals, photovoltaic power generation as a representative of green renewable energy, its strategic position is prominent. Photovoltaic industry will face more opportunities and challenges. However, in the traditional mode of photovoltaic power station operation and inspection, a large number of operation and inspection personnel need to be configured, so it is difficult to obtain equipment information timely and comprehensively. In this paper, we propose a photovoltaic power station intelligent operation and maintenance system based on digital twin. The mapping of real photovoltaic power station is constructed in virtual space to realize intelligent operation and maintenance of photovoltaic power station. We build a 3D scene model to simulate the real environment. Two artificial intelligence algorithms are designed to realize the real-time power prediction and fault diagnosis of the digital twin system. This paper discusses the different components of this Digital twin photovoltaic power station operation and maintenance system.
基于数字孪生的光伏电站智能运维系统设计
随着“二氧化碳排放峰值”和“碳中和”目标的提出,光伏发电作为绿色可再生能源的代表,其战略地位凸显。光伏产业将面临更多的机遇和挑战。然而,在传统的光伏电站运检模式下,需要配置大量的运检人员,难以及时、全面地获取设备信息。本文提出了一种基于数字孪生的光伏电站智能运维系统。在虚拟空间中构建真实光伏电站的映射,实现光伏电站的智能运维。我们建立了一个3D场景模型来模拟真实环境。设计了两种人工智能算法,实现了数字孪生系统的实时功率预测和故障诊断。本文讨论了该数字孪生光伏电站运维系统的不同组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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