Research Article
Analysis of Dynamic Interactions Between Reactive Compensation and Voltage Stability in THT Networks with SVC
Amos Omboua Eyandzi*
,
Rodolphe Gomba,
Nianga-Apila,
Timothee Nsongo,
Ursula Vanelie Kani Mboyo
Issue:
Volume 14, Issue 3, June 2025
Pages:
45-63
Received:
13 March 2025
Accepted:
18 April 2025
Published:
3 June 2025
DOI:
10.11648/j.epes.20251403.11
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Abstract: This paper investigates the impact of inte-grating a 35 MW industrial load into an electrical transmission network, with a focus on the role of the Static Var Compensator (SVC) in voltage regulation and system performance enhancement. The added load induces a voltage drop below 0.9 p.u., threatening dynamic stability and potentially triggering unwanted phenomena such as electromechanical oscillations or protective device misoperations. These disturbances are further exacerbated by a decrease in the power factor due to increased phase shift between voltage and current, leading to higher system losses. The SVC demonstrates high effectiveness in mitigating these effects by dynamically injecting reactive power and restoring voltage levels close to nominal values. Its thyristor-controlled operation provides fast and adaptive compensation, outperforming traditional fixed capacitors and reactors in transient response. Using real-world data from the Congolese power grid, this study employs simulation-based scenarios to evaluate the SVC’s performance under local operating conditions. Results confirm that optimised reactive power com-pensation enhances grid reliability and facilitates the integration of heavy industrial loads. Recommendations are proposed for efficient SVC deployment in developing electrical infrastructures.
Abstract: This paper investigates the impact of inte-grating a 35 MW industrial load into an electrical transmission network, with a focus on the role of the Static Var Compensator (SVC) in voltage regulation and system performance enhancement. The added load induces a voltage drop below 0.9 p.u., threatening dynamic stability and potentially triggering unwa...
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Research Article
Symbolic Modeling, Linearization, and Small-Signal Analysis of LSPMSM Dynamics
Issue:
Volume 14, Issue 3, June 2025
Pages:
64-71
Received:
12 May 2025
Accepted:
27 May 2025
Published:
13 June 2025
DOI:
10.11648/j.epes.20251403.12
Downloads:
Views:
Abstract: This paper presents a comprehensive symbolic and numerical analysis of the dynamic behavior of Line-Start Permanent Magnet Synchronous Motors (LSPMSMs). Unlike conventional modeling approaches that rely heavily on numerical simulation, we develop a symbolic model that captures the electrical and mechanical dynamics of the motor with enhanced analytical clarity. Using the dq0 transformation, the motor differential equations are formulated in the synchronous reference frame. These equations are then linearized around a steady-state operating point to derive a small-signal model, facilitating deeper insights into local stability and transient response characteristics. A significant contribution of this work lies in the derivation of the Jacobian matrix and its eigenvalue analysis, which allows for direct observation of system stability under different operating conditions. By symbolically computing the Jacobian, we avoid numerical approximation errors and preserve parameter dependencies, making the model highly adaptable for control design and optimization studies. We further demonstrate how the linearized model can predict small perturbations in system behavior, offering a practical tool for early-stage control system development. Simulation results validate the accuracy of the symbolic and linearized models by comparing them against the nonlinear system response under typical startup and load conditions. The results show that the linearized system closely approximates the behavior of the full nonlinear model within a defined operating region, confirming the reliability of the approach.
Abstract: This paper presents a comprehensive symbolic and numerical analysis of the dynamic behavior of Line-Start Permanent Magnet Synchronous Motors (LSPMSMs). Unlike conventional modeling approaches that rely heavily on numerical simulation, we develop a symbolic model that captures the electrical and mechanical dynamics of the motor with enhanced analyt...
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