Enhancing the analysis of power

Glasgow Caledonian University researchers are undertaking an ambitious project in collaboration with TNEI Services Limited to develop an innovative tool that will significantly enhance the analysis of power networks.

The tool aims to address the challenges posed by the increasing integration of renewable energy sources and enable more sustainable and cost-effective electricity services.

The researchers are focusing on load-flow analysis, a critical process used by electrical utilities to assess the health and performance of power networks. With the rise of solar and wind power, traditional analysis tools have become less effective due to the unpredictable fluctuations in renewable energy outputs. This necessitates the development of new tools and algorithms capable of handling multiple simulations rapidly.

The team is working on an innovative module that will be integrated into Interactive Power System Analysis (IPSA) software. This module will enhance the modelling and understanding of uncertainty in power demand and generation, allowing for accurate tracking of network health. By quickly calculating load-flow solutions in various scenarios, operators will gain a clearer understanding of the network's condition and make informed investment decisions.

Dr Firdous Ul Nazir, the principal investigator on the project, emphasised the transformative impact of the new module. He said: “The benefits of this tool are substantial. By identifying areas where upgrades are needed and optimising the network's design to accommodate anticipated changes from increased renewable energy integration, the tool will maximise the utilization of cables and transformers. Consequently, it will facilitate the efficient adoption of low-carbon technologies, reduce the need for expensive and time-consuming infrastructure upgrades, and result in potential savings for customers through lower energy prices.

“It will empower operators with quick and accurate insights into power network scenarios, enabling them to make smarter resource allocation decisions. The tool represents a significant step forward in achieving a smarter, greener, and more cost-effective power network for the future.”

The module's development is expected to yield tangible results within the next two to five years. The project is supported by funding from Innovate UK, the national innovation agency under UK Research and Innovation (UKRI), with additional investment from TNEI. Dr Ul Nazir is leading the academic team alongside Dr Ahmed Aboushady, with representatives from TNEI contributing their expertise to the project.