The Real-Time Parameter Identification in Microgrids (RTPIM) project, a collaborative effort involving researchers from the University of Almeria, Spain, and the National Smart Grid Laboratory (SINTEF) in Trondheim, Norway, took place from April 3 to April 17, 2024. This initiative was driven by the growing complexities of microgrid systems and the critical need for precise, realtime parameter identification to enhance microgrid management and facilitate sustainable energy advancements. The project aimed to develop a novel, robust, and computationally efficient algorithm using a combination of Geometric Algebra (GA) and differential geometry, targeting realtime parameter identification in linear and non-linear single-phase circuits within microgrids. Utilizing a comprehensive experimental framework, the team set up a variety of microgrid components including passive load setups in series and parallel configurations (R, C, L, RL, RC, RLC), along with DC/AC converters, electric machines, power lines, and transformers. The integration of precise measurement devices, communication systems, and real-time emulators allowed for the accurate collection and processing of data under various operating conditions. The innovative GA-based algorithm developed during this project proved highly effective in estimating the resistance, inductance, and capacitance values of different electrical circuits and components with remarkable precision. These results not only demonstrated the algorithm's robustness and accuracy but also validated its applicability for real-time parameter estimation in microgrids and broader distribution systems. The RTPIM project's outcomes have significant implications for the field of smart grid technologies. By improving the accuracy and efficiency of microgrid operations, the project supports the transition towards a more sustainable energy future. The collaboration fostered between the University of Almeria and SINTEF through the ERIGrid 2.0 Lab Access programme is expected to pave the way for further advancements in this vital area. The project highlighted the importance of multi-lab experiments and Hardware-in-the-Loop (HIL) experiments in conducting comprehensive research and validating innovative methods.While the project achieved substantial scientific and commercial benefits, it also outlined potential areas for further development. These include refining the algorithm to better handle transformer and synchronous machine models, addressing challenges specific to multi-lab experiments, and exploring additional applications of the proposed method in related fields. The RTPIM project not only advanced the state of technology in real-time parameter identification but also set a foundation for future research partnerships and innovations in smart grid technologies.