Enabling the Convergence of Traditional Electrical Regulatory Framework Documents and Smart Grid Functions Using Digitalisation

Ryan, David (2022) Enabling the Convergence of Traditional Electrical Regulatory Framework Documents and Smart Grid Functions Using Digitalisation. Masters thesis, SETU Waterford.

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With concerted efforts by legislators to reduce CO2 emissions, the ways in which we produce, regulate, and consume power is going through wholesale changes. These changes will impact the utilities as they are central components in this shift and will be required to balance ensuring grid stability against allowing distributed energy sources, which are less stable than traditional generation, to participate in the supply of "green power" to the grid. Academia and industry are combining resources to tackle this challenge with advances in power systems electronics methods, applying advanced ICT technologies and testing new regulatory and market frameworks and models. This is evident in the Electrical Industry Regulatory Policies or Network Codes, which is a set of agreed rules between the actors that participate in the supply, distribution, transmission, and regulation of electrical power. In Ireland, like many other countries, these codes are contained in static documents and consist of quantifiable constraints, interspersed with text. The only way to verify, update or interpret the codes is by humans reading and editing them directly. The work in this thesis, using cloud-based text mining and graph database management, aims to extract the network codes from the documents and derive a richer representation of the network codes, while maintaining their providence and structure, consistent with their representation in the document. This work derived from two overarching scenarios which encompass the research questions, motivate the research methodology and help explore the potential impact that the proposed enriched representation might have on the business processes within the electricity supply industry. These scenarios are derived from real challenges faced in the industry and were selected because of their practical interest for energy stakeholders but we also consider the technical and business potential of our proposed extraction and representation processes.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Traditional Electrical Regulatory Framework Documents, Smart Grid Functions, Digitalisation
Departments or Groups: *NONE OF THESE*
Divisions: School of Science > Department of Computing, Maths and Physics
Depositing User: Derek Langford
Date Deposited: 13 Sep 2022 16:02
Last Modified: 13 Sep 2022 16:02
URI: https://repository.wit.ie/id/eprint/3533

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