Sep 2026· 2026 International Conference on Smart Energy Systems and Technologies (SEST)· pp. 1-6· 0 citations· 14 references
Abstract
Smart Power Cells (SPCs) are controllable distribution grid sections that coordinate local flexibility to support higher-level grid operation. However, integrating detailed SPC simulations into higher-level coordination frameworks, such as transmission system controllers, is limited by their high computational cost. This paper presents a data-driven approach to model the dynamic behavior of an SPC at the TSO–SPC interconnection. A high-fidelity MATLAB/Simulink model is used to generate data for learning the system response to active and reactive power reference signals. A Long Short-Term Memory (LSTM) neural network is employed to approximate the aggregated SPC behavior. The results show that the main power flow dynamics are captured with low prediction errors while requiring considerably less computational effort than the high-fidelity simulation. This enables the approach, with R2 ≈ 96%, to serve as a baseline for further investigations of computationally efficient frameworks for SPC behavior studies.
The rapid expansion of large-scale AI data centers (AIDC) is introducing new stability challenges, particularly in weak or low-inertia networks characterized by fast, step-like demand variations and strict requirements on voltage and dynamic performance. This paper investigates the use of grid-forming (GFM) Enhanced ST...
P. Bana, Novan Zakkia, Jean-Philippe Hasler et al.· 0 citations
The integration of D-STATCOM into the transmission system enables reactive power compensation in the SEP, with the aim of stabilizing voltage and reducing active power losses. Diverging from conventional models that depend on simplified linear assumptions, this work integrates full non-linear power-flow equations; thes...
J. Monzalve-Pacheco, M. León-Segovia, A. León-Segovia et al.· WSEAS Transactions on power...· 0 citations
In distribution network and microgrids, energy storage (ES) systems possess four-quadrant operational capabilities, making them inherently high-quality resources for reactive power (RP) regulation. However, existing research has primarily focused on optimizing the active power of ES to achieve economic objectives, whil...
With the increasing integration of renewable energy, power systems have become more complex due to the widespread use of power electronic converters (PECs) and their diverse control strategies (e.g., grid-following, grid-forming). The impedance-based approach in small-signal analysis of the system has been widely used,...
Lazar Stojanović, Anant Narula, P. Mattavelli et al.· 2026 Energy Conversion Congr...· 0 citations
With the large-scale integration of renewable power plants, modern power systems are characterized by reduced system inertia and deteriorated voltage and frequency stability, which poses substantial challenges to conventional grid-following control strategies. Grid-forming devices (GFDs), with the capability to autonom...
Guan-Ye Shen, Ding Wang, Shao-Ran Wang et al.· 2026 IEEE 9th Information Te...· 0 citations
Operating conditions and fault severity change both the initial states and control modes of active distribution networks. Direct capacity aggregation can therefore lose the power responses required for transmission-system dynamic analysis. This paper develops a procedure for generating low-order physical electromagneti...
Yu-Qi Cao, Chen Shen, Shao-Wei Huang et al.· 0 citations
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