Smart Grid Data Analytics for Security of Energy Supply
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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 employability
3. Big data analytics using real-time measurements
4. Investigate a methodology to compile and reports for operational presentation
5. Develop graphical user interface for displaying results/findings
6. Real-time visualisation of power systems/smart grid to assist decision making
Queen's University Belfast | LEAD_ORG |
SONI Ltd | STUDENT_PP_ORG |
Xueqin Liu | SUPER_PER |
Subjects by relevance
- Renewable energy sources
- Wind energy
- Visualisation
- Electrical power networks
- Energy production (process industry)
- Smart grids
Extracted key phrases
- Smart Grid Data Analytics
- Energy Supply
- Northern Ireland
- Wind power generation capacity
- System Operator
- Power system operator
- Peak system demand
- Security
- SONI
- Intelligent big datum approach
- Renewable energy
- System scenario
- Future energy network
- Renewable generation
- Time visualisation