Real Time Parameter Estimation (RTPIM)

The Real-Time Parameter Identification in Microgrids (RTPIM) project, a collaborative effort in
volving 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, real
time parameter identification to enhance microgrid management and facilitate sustainable energy 
advancements. The project aimed to develop a novel, robust, and computationally efficient algo
rithm using a combination of Geometric Algebra (GA) and differential geometry, targeting real
time 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 com
ponents 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 esti
mating the resistance, inductance, and capacitance values of different electrical circuits and com
ponents with remarkable precision. These results not only demonstrated the algorithm's robust
ness and accuracy but also validated its applicability for real-time parameter estimation in mi
crogrids and broader distribution systems. 
The RTPIM project's outcomes have significant implications for the field of smart grid technolo
gies. 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 Uni
versity 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 comprehen
sive 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 founda
tion for future research partnerships and innovations in smart grid technologies.