OPTIMA is a web-based, automated outage planning tool designed to enhance transmission outage planning. OPTIMA aims to use machine learning and AI to analyse historical outage data and current network conditions, helping planners identify optimal outage windows, reduce conflicts, and improve coordination while considering network impact. OPTIMA interfaces with various data sources such as NESO’s eNAMS, SPEN databases, windfarm outputs, resource and vehicle availabilities and weather forecasts. The tool supports long-term, year-ahead, and in-year planning, reducing manual effort and improving reliability of the outages planned and submitted to NESO. In addition, OPTIMA aims to develop a solution that minimises renewable curtailment and enhances planning efficiency. OPTIMA delivers financial, operational, and environmental benefits while supporting vulnerable consumers and accelerating the transition to a low-carbon energy systems.
Objectives
The objectives of OPTIMA include
- Develop the engineering logic behind outage planning and translate it into an outage planning algorithm.
- Develop a data model on relevant historic and new databases for outage planning with separation on different horizon of the planning
- Explore and develop machine learnings specifications which is fit for purpose for transmission outage planning
- Test and validate the outage planner with long term, in-year and year ahead outage plans.
- Dissemination of key findings and learnings
