A Methodological Approach to Modeling the Impact of Distributed Generation on Regional Electricity Consumption Using Semantic Technologies
DOI:
https://doi.org/10.25729/esr.2026.02.0002Keywords:
Semantic modeling, ontology, cognitive model, distributed generation, regional power system, electricity prosumerAbstract
The study argues for the adoption of semantic modeling techniques to structure knowledge, perform analysis, and support decision-making in complex uncertain environments. This approach is demonstrated through the development of a methodological framework for studying the effect of distributed generation on regional electricity consumption. Regional power systems represent large-scale entities, characterized by highly complex-to-describe components, subsystems, and processes. The core of the semantic approach rests on the cognitive structuring of socioeconomic entities. This process aims to identify the key factors characterizing the interaction between the entity and its environment, while establishing qualitative relations, namely the mutual influence of these factors as they vary. The semantic modeling techniques effectively circumvent the limitations of concurrent analysis of numerous interdependent factors and their intricate relationships. This study introduces a three-stage research framework that covers ontological, cognitive, and mathematical modeling at its individual stages. The proposed approach is applied to a notional regional power system comprising various electricity generating and consuming facilities, including distributed generation. Multi-level hierarchical ontologies were constructed to describe the components of this system and their relationships. The entities critical to the numerical experiment were identified. Yielding quantitative estimates themselves, however, remains a subject of further research.
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