Aplikace teorie normalizovaných softwarových systémů na řízení efektivity rozvodné sítě s větším množstvím zdrojů

Abstract

This master's thesis in design science research aims to address the evolvability of the electricity grid by investigating mechanisms to minimize ripple effects resulting from the increased integration of renewable Distributed Energy Resources (DERs). The thesis identifies design challenges related to the physical structure, economics, and intelligence of the grid through interviews with practitioners and a comprehensive literature review. It explores technologies such as Digital Twin Technology (DTT) and Virtual Power Plant (VPP), balancing mechanisms, and pricing mechanisms to tackle these challenges. Through the application of the reasoning behind Normalized Systems Theory (NST), a novel perspective on the design of the electricity grid is presented. Additionally, the proposed mechanisms are evaluated by a practical implementation, through the design and implementation of an analytical tool for assessing the influence of dynamic pricing paradigm on electricity grid stability. The thesis concludes by highlighting its contributions in terms of applying NST to the grid, as well as to software development, and providing a general approach for achieving an evolvable grid design. Furthermore, the developed analytical tool contributes in the critical analysis of popular paradigms in the current electricity market. Overall, the thesis contributes to resolving the challenges associated with integrating DERs into the electricity grid, aiming for a more sustainable and efficient energy future.

This master's thesis in design science research aims to address the evolvability of the electricity grid by investigating mechanisms to minimize ripple effects resulting from the increased integration of renewable Distributed Energy Resources (DERs). The thesis identifies design challenges related to the physical structure, economics, and intelligence of the grid through interviews with practitioners and a comprehensive literature review. It explores technologies such as Digital Twin Technology (DTT) and Virtual Power Plant (VPP), balancing mechanisms, and pricing mechanisms to tackle these challenges. Through the application of the reasoning behind Normalized Systems Theory (NST), a novel perspective on the design of the electricity grid is presented. Additionally, the proposed mechanisms are evaluated by a practical implementation, through the design and implementation of an analytical tool for assessing the influence of dynamic pricing paradigm on electricity grid stability. The thesis concludes by highlighting its contributions in terms of applying NST to the grid, as well as to software development, and providing a general approach for achieving an evolvable grid design. Furthermore, the developed analytical tool contributes in the critical analysis of popular paradigms in the current electricity market. Overall, the thesis contributes to resolving the challenges associated with integrating DERs into the electricity grid, aiming for a more sustainable and efficient energy future.