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etap.com - The integration of Distributed Generation (DG) into the distribution system introduces complexities stemming from the inherent variability of renewable generation sources, coupled with the unpredictability of factors like time, location, and the potential occurrence of various types and severities of faults. To effectively navigate these challenges, system operators are required to possess the capability to closely monitor, estimate, and forecast the dynamic state of the network.
In the ongoing research initiative, a pivotal step involves the real-time simulation of a DG system utilizing the advanced capabilities of ETAP-Realtime software. This simulation empowers researchers to anticipate how the DG system would respond under diverse events, drawing on data recorded in real-time to inform their predictions.
The process begins with the development of a digital twin, a virtual counterpart, of the Lucas Nülle DG system, meticulously drafted by the Smart Grid F-CIYA laboratory. This digital representation serves as a sophisticated tool to replicate and study the behaviors of the actual DG system.
The research then focuses on the exploration of four distinct scenarios using the "What if" module within the simulation framework. These scenarios encompass contingencies such as medium voltage (MV) grid issues, single-phase transmission line failures, heightened electricity demand in the industrial sector, and the introduction of DG into a local distribution system.
Particularly noteworthy is the emphasis on the last scenario, involving the inclusion of DG in a local distribution system. This aspect stands out as a valuable contribution to the planning and operation of the network. By evaluating the behavior of the local system when DG is introduced, the research aims to provide insights that can enhance the overall understanding and management of power distribution systems, offering a glimpse into the potential impacts and benefits associated with the integration of Distributed Generation.
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