Next generation tools for modelling and analysis of evolving power and energy systems

用于对不断发展的电力和能源系统进行建模和分析的下一代工具

• 批准号: RGPIN-2015-04151
• 负责人: Jatskevich, Juri
• 金额: $ 2.7万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=589623
• 关键词: Next; generation; tools; modelling; analysis

Electrical energy systems are fast evolving with rapidly increasing complexity, wider acceptance of DC-based technologies, and integration with communication systems and sensors. Sophisticated computer models are essential for operation of electric grids, planning purposes, design and integration of future renewable energy sources and systems. Thousands of engineers in control centers and research facilities around the world are working full-time developing models and conducting studies. Since the models are used by engineers and researchers many times (often iteratively during the design cycle), both the model accuracy and numerical efficiency (simulation time) are very important. Even a fractional increase in simulation speed will result in very significant savings of the engineering time worldwide. However, models of rotating machines and power electronic components are typically the limiting bottle-neck, and the present modeling tools are falling behind of the needs.

电能系统正在快速发展，其复杂性迅速增加，基于DC的技术被更广泛地接受，并且与通信系统和传感器集成。复杂的计算机模型对于电网的运行、规划目的、未来可再生能源和系统的设计和集成至关重要。世界各地的控制中心和研究机构的数千名工程师正在全职开发模型和进行研究。由于模型被工程师和研究人员多次使用（通常在设计周期中反复使用），因此模型精度和数值效率（模拟时间）都非常重要。即使是模拟速度的一小部分提高，也会在全球范围内节省大量的工程时间。然而，旋转机械和电力电子元件的模型通常是限制瓶颈，并且现有的建模工具落后于需求。