TNEI

Case Study

TNEI Services + Glasgow Caledonian University

Develop and launch a new and market disruptive module within its current IPSA software.

TNEI Services

TNEI is an independent specialist energy consultancy providing technical, strategic, environmental and consenting advice to organisations operating within the conventional and renewable energy sectors. We have a range of skills tailored specifically to answer the issues associated with the energy transition.

What was the need?

The Challenge

At the outset of the project, our foremost challenge was the accurate selection of the most appropriate Power Flow (PF) method. This decision was pivotal, as it established the groundwork for the entire project's trajectory. Choosing the right method was more than merely setting a direction; it was about ensuring that the project's ambitious objectives could be effectively realized. The chosen PF method would not only influence the project's outcomes but also directly influence the performance and efficiency of the solvers to be used. Subsequently, the next significant hurdle was optimizing the PF solver to achieve the speed necessary for scenario-based PF applications, which constituted the core objective of our project. This step was critical to ensure that our solutions were not only accurate but also fast enough to handle complex, real-time scenarios, thereby fulfilling the project's overarching goals.

What did we do?

The Solution

The initial challenge was addressed through a comprehensive literature review encompassing both academic research and industry practices related to commercial Power Flow solvers. Subsequently, two optimal methods were selected for trial, leading to comparative analyses across various test networks to determine the superior approach. The second challenge was surmounted by optimizing the code for computational speed through exploitation of complex matrix structures which are generated in the intermediate steps of the proposed solver. Moving forward, this challenge will be further tackled by evolving the deterministic power flow method into a unique probabilistic approach. This innovation will integrate uncertainties in generation and demand directly into the formulation.

What changed?

The Impacts and Benefits

Impacts for the Company

The newly developed power flow solver will be seamlessly integrated as a module within the existing Interactive Power System Analysis (IPSA) software, facilitating sophisticated probabilistic modelling of demand and energy generation uncertainties. This advanced solver will enable TNEI to offer probabilistic modelling of uncertainty as a service to network companies, with a particular emphasis on LV network planning. It is expected to attract more customers and generate additional revenue for the company. Beyond its integration with IPSA, this solver will also be incorporated into various TNEI innovation projects, creating a lasting impact across multiple initiatives. In addition to its financial benefits, this tool will address uncertainty challenges associated with renewable energy sources, thereby promoting their integration and contributing to net-zero goals.

Impacts for the Academic Team

The team's efforts are projected to culminate in the publication of at least one journal article and two conference papers, showcasing the innovative approaches to probabilistic modelling. This academic output will enhance the team's reputation in the field, fostering collaboration and knowledge exchange with other researchers. Furthermore, the solver's application in modelling demand and energy generation uncertainties will provide invaluable case studies and data for academic exploration. Its role in advancing TNEI's innovation projects will serve as a foundation for future research initiatives, contributing to a deeper understanding of renewable energy integration and uncertainty management.

Impacts for the KTP Associate

The training provided by the Knowledge Transfer Partnership (KTP) has been invaluable, not only for the success of the project but also for the KTP Associate’s career development. The funding allocated for training and development has been instrumental in shaping both short-term and long-term career plans. Additionally, it has opened new networking opportunities, offering experience in both industry and academia simultaneously. Engaging with real-time data has broadened the associate’s knowledge and enhanced their analytical skills. The collaborative environment at the company, alongside talented colleagues, has deepened associate’s understanding of power system challenges. This experience equips associate for future endeavors in both industry and academia.

The People

Meet the Team

Dr Zahid Javid

KTP Associate

Dr Firdous Ul Nazir

Knowledge Base Supervisor

Diptargha Chakravorty

Company Supervisor