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A Time and Space Framework for Overhead Grid Maintenance Optimisation
Figure 1: Maintenance Cycle
Inspection prioritisation
and scheduling
Inspection with
Grid topology and
geographics and
exploitation updates
asset status data
Data acquisition,
Asset condition update, realtime compliance
Grid planning
remaining value/life estimate and anomaly detection
and project
Third party databases
Post-maintenance Report critical
Asset management
condition audit issues on landing
Geographical
Geo-referenced Anomaly interpretation,
information systems
maintenance condition assessment
Risk assessment,
Maintenance prioritisation,
remedial actions
resource allocation
Probability of failure,
consequences of failure
The ‘topology’ database contains information concerning four categories. On the left of Figure 2, the ‘Graph’ region is magnified as an
Without delving into the details, the current schema is shown in Figure 2, illustrative example. Electrical circuits are the graph arcs, connecting
where each of the categories corresponds to a different rectangular two nodes, with some exploitation voltage. Each node has
region. Some regions overlap and, of course, are related to others: geographical data and can be a substation, a plant (if not part of a
substation) or a sectioning post. It can also be a simple derivation from
Graph (blue and zoom): the grid topology itself, which defines a some circuit. Border nodes are also considered when lines reach a
graph with nodes such as substations, plants or sectioning posts, different country to allow for cross-border energy trade. Note that
and where arcs are the electrical circuits connecting two nodes. substations are also modelled with transformation capacities between
Lines (yellow): aerial lines carrying the electrical circuits, with their different voltages, via the transformer table. This part of the database
towers and respective numbers. Also includes underground circuit allows global analyses of the grid to be performed, calculating critical
segments and electrical characteristics. paths, for instance.
Assets (green): towers and wires as grid assets, with their
characteristics, their use and their relations. Toolset
Inspections (pink): general part of inspections already performed, Once the architecture has been deployed, tools that address every issue
containing identification, and processed data, such as identified are required. Given the wide span of issues found on OHL, it is
towers, wires, environment, and anomalies. Historical data lie important to formalise a common set of features all tools should share
mainly in this category. to keep them consistent. These are discussed below.
MODERN ENERGY REVIEW VOLUME 2 ISSUE 1
96
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