METHOD OF SUPPORTING THE STABILITY OF THE POWER SUPPLY NETWORK BASED ON A GEOINFORMATION MODEL
Abstract
The article considers the problem of controlling the distribution of energy power in an area covered
by an intelligent energy network. The management objective is to stabilize the energy flow in the presence
of external influences caused by changes in the surrounding environment. Vulnerabilities in the system are
inherent due to the nature of energy networks and under certain circumstances can lead to anomalies in
energy supply. External environmental factors vary in content, making it difficult to confidently predict
current threats. Geoinformation models utilizing image-based knowledge representation are described.
Their use enables the assessment of the relevance of known threats. Conceptually, an image comprises a
center and permissible transformations of that center within a certain context. The case is considered
where the threat to the functioning of the intelligent network is assessed by transforming the image into a
specified area of space where the intelligent network is located. The key feature of the proposed approach
is the evaluation of the feasibility of an event occurring in a given space. The operation of transferring the
situation requires consideration of the topology of the specified area. The attributes of the generating
infrastructure become more significant than the attributes of the situation itself in this approach. A distinctive
feature of the proposed approach is the transfer of semantic context represented by permissible transformations
of the image. The software transformation function is linked to a layer of cartographic representation.
For a given object in the original precedent, its placement area is determined, with the boundary
being defined by the object's properties. If the size of the placement area allows for the construction of
an object of the corresponding class, that object is created. The credibility of the result is evaluated by
applying expert knowledge about the quality of objects of the considered class. The listed actions are performed
not only on the geometry of spatial objects but also on their temporal and semantic attributes, akin
to the concept of image-based representation of geometry. Forming a list of threats given a specific state
of the external environment constitutes the essence of stability management. The features of algorithmizing
the image transformation procedure are analyzed, and a method for assessing the credibility of transformation
is provided. The application of the proposed approach holds promise for intelligent energy supply
systems, whose behavior is intricately linked to external environmental factors.
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