Smart Grid Data Analytics for Security of Energy Supply

智能电网数据分析确保能源供应安全

• 批准号: 2278077
• 金额: --
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2278077
• 关键词: Smart; Grid; Data; Analytics; Security

SONI (System Operator for Northern Ireland) has recently launched a new five-year strategy to ensure that Northern Ireland's grid can handle 95% renewable energy at any one time. This ambition will see a significant increase from the current 65% clean energy in the mix. As of 2019, Northern Ireland has installed about 1300 MW of wind power generation capacity. With a peak system demand of circa 1700 MW and min load of circa 500 MW, wind could, at times, theoretically supply all of the system demand. However, the variability and uncertainty associated with wind power generation and the nature of the technology create operational challenges. In such an environment, new, more intelligent tools are needed by the power system operator to deal with the increased challenges.The project intends to investigate an intelligent big data approach to improve the reliability and security of future energy networks, at the transmission level as well as the distribution level. The objectives of the project are:1. To become familiar with smart grid and distributed renewable generation 2. To become familiar with various system scenarios, models and software to increase employability3. Big data analytics using real-time measurements4. Investigate a methodology to compile and reports for operational presentation5. Develop graphical user interface for displaying results/findings6. Real-time visualisation of power systems/smart grid to assist decision making

SONI（北爱尔兰系统运营商）最近推出了一项新的五年战略，以确保北爱尔兰电网在任何时候都能处理95%的可再生能源。这一雄心壮志将大大增加目前65%的清洁能源。截至2019年，北爱尔兰已安装了约1300兆瓦的风力发电能力。系统的峰值需求约为1700兆瓦，最小负荷约为500兆瓦，风能有时理论上可以满足系统的所有需求。然而，风力发电的可变性和不确定性以及该技术的性质给运营带来了挑战。在这样的环境下，电力系统操作员需要新的、更智能的工具来应对日益增加的挑战。该项目旨在研究一种智能大数据方法，以提高未来能源网络在输电层面和配电层面的可靠性和安全性。该项目的目标是：1。熟悉智能电网和分布式可再生能源发电。熟悉各种系统方案、模型和软件，以提高就业能力。使用实时测量的大数据分析。研究一种编制和报告操作演示的方法。开发显示结果/发现的图形用户界面。电力系统/智能电网的实时可视化，以协助决策