Grid Intelligence & Optimisation

Grid Intelligence & Optimisation [GIO] is an umbrella designation for a set of research activities aimed at the optimisations of the remaining lifetime and maintenance of grids, depending on probabilistic models.

GIO follows a bottom-up approach, based on individual data from each component, from its installation to the current condition, based on a Unified Status Estimate for Reliability purposes. Based on such reliability estimates, one can progress to system reliability based on equipments, environmental factors, electricity supply and demand as they evolve in space and in time to estimate overall values and establish safe cases and contingecy scenarios.

Acknowledgment

GIO activities are conducted under the scientific ægis of CENTRIA at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa under a long-term Research & Development [R&D] collaboration protocol.

Please, see Education, R&D collaborations for further details.

Scope of activities

The graph below introduces the understanding of the electrical grid lifecycle according to Grid Intelligence & Optimisation and how it relates to the various systems that maintain a high reliability operation.

The green areas of the cycle relate to field activities while the sand/areas relate to laboratory activities. Four main systems relate to the GIO cycle:

• asset management supplies the initial configuration of the equipment, exchanges information on condition and records maintenance actions
• grid planning and projct are the source of information for the role of the equipements in the grid and how they connect energy supply and demand
• geographic information systems locate equipments in the territory and are a gateway to condition data.
• third party databases supply information on geology, weather, environment and human activities.

Currently, GIO does not handle substations. They are regarded as transfer functions with constraints. They are modeled with perfect reliability and availability.

Project LIONS

The main application of GIO has been Project LIONS, a joint R&D project by REN, the Portuguese Transmission System Operator, and Albatroz Engineering.

Publications related to GIO

Grid Intelligence & Optimisation was a vector of R&D at Albatroz Engineering since 2008. Nowadays, most GIO-related publications are written within the scope of Project LIONS. The list below summarises the remainder GIO-related publications.

Please, check the publications page for abstracts and information on other papers.

Electrical grid modelling for overhead maintenance cycle optimisation

by Francisco Azevedo¹, João Gomes-Mota²

¹ CENTRIA, Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa, ² Albatroz Engenharia SA

in Proceedings of the 1st Workshop on Constraint Reasoning and Graphical Structures (CRaGS 2010), Tarik Hadzic and Radu Marinescu (Editors) pages 75-82 (presented by Franscisco Azevedo in St. Andrews, Scotland, UK).

Geographical Information Tools for Overhead Lines Preventive Maintenance

by J. Gomes-Mota¹, Miguel Ramos¹, A. Matos-André ^2
1Albatroz Engineering ²LABELEC (EDP Group)

presented at CIGRÉ08 - Session 42 (Study Comittee B2)
Paris, France, 25^th- 29^th August 2008.