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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026
Comparative Analysis of PWM and Svpwm Techniques for Transformer
Transient Mitigation in Series Voltage Compensation Systems
Calvin Chimanyiwa, Janga Admire
Industrial Electronics Engineering, Chinhoyi, Mashonaland West, Zimbabwe
DOI: https://doi.org/10.51583/IJLTEMAS.2026.150600095
Received: 14 June 2026; Accepted: 19 June 2026; Published: 09 July 2026
ABSTRACT
The increasing integration of power electronic devices in electrical power systems has intensified the need for
effective control techniques capable of minimizing transformer transient disturbances in series voltage
compensation applications. This study investigates and compares the performance of Pulse Width Modulation
(PWM) and Space Vector Pulse Width Modulation (SVPWM) techniques in controlling transformer transients
and improving overall compensation system performance. The analysis focuses on critical parameters such as
transient response characteristics, harmonic distortion, voltage stability, switching efficiency, and power
quality enhancement.
A detailed simulation model of a transformer-based series voltage compensator is developed using
MATLAB/Simulink to evaluate the operational behaviour of both modulation strategies under different loading
and disturbance conditions. The comparative results indicate that the SVPWM technique achieves improved
voltage utilization, faster dynamic response, and reduced Total Harmonic Distortion (THD) when compared with
conventional PWM methods. In contrast, PWM demonstrates easier implementation and reduced computational
requirements, which may be advantageous in less complex applications. The research further highlights the
influence of modulation strategies on transformer stress reduction and transient mitigation within modern
compensation systems.
The outcomes of this work provide a useful reference for the design and optimization of efficient series voltage
compensation systems aimed at enhancing power system reliability, stability, and power quality.
Keywords: Pulse Width Modulation (PWM), Space Vector Pulse Width Modulation (SVPWM), Transformer
Transients, Series Voltage Compensation, Total Harmonic Distortion (THD), Power Quality, Voltage Stability,
Power Electronics, MATLAB/Simulink, Dynamic Response.
INTRODUCTION
Voltage sag is one of the most common power quality problems affecting modern electrical power systems and
is responsible for significant equipment malfunction, transformer losses, and reduced system reliability. During
voltage sag conditions, transformers may experience magnetic flux distortion and core saturation, resulting in
high inrush currents that can trigger over-current protection and cause compensation failure. In series voltage
compensation systems, a short delay in sag detection and voltage injection further increases the risk of
transformer transient disturbances.
To minimize these effects, effective control techniques are required for fast and stable voltage compensation.
Pulse Width Modulation (PWM) and Space Vector Pulse Width Modulation (SVPWM) are widely used
switching techniques in power electronic compensation systems due to their ability to regulate voltage and
improve system performance. While PWM offers simple implementation, SVPWM provides better voltage
utilization and reduced harmonic distortion.
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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LITERATURE REVIEW
Series voltage compensation techniques, particularly Dynamic Voltage Restorer (DVR)-based systems, have
been widely investigated for mitigating voltage sag disturbances and improving power quality. Previous studies
have demonstrated that the effectiveness of DVR systems depends strongly on the detection speed, compensation
strategy, and converter control method employed. [4]
Transformer transient behaviour during voltage disturbances has also been studied extensively, with researchers
identifying core saturation and magnetic flux imbalance as major causes of excessive inrush currents during
transient conditions. These effects can reduce compensation effectiveness and increase stress on power system
components. [2], [3]
PWM remains one of the most commonly applied modulation techniques due to its simple structure and ease of
implementation. However, conventional PWM methods may experience limitations in harmonic performance
and voltage utilization. Recent studies have demonstrated that SVPWM provides improved DC-link voltage
utilization, optimized switching patterns, and lower harmonic distortion compared with traditional PWM
approaches. [1], [5]
Although several studies have investigated PWM and SVPWM separately, limited attention has been given to
their comparative influence on transformer transient mitigation during series voltage compensation. Therefore,
this study evaluates both techniques using MATLAB/Simulink simulations under voltage sag and varying load
conditions.
METHODOLOGY
This research adopted a simulation-based approach to investigate the performance of PWM and SVPWM
techniques in controlling transformer transients during series voltage compensation. The methodology consisted
of system modelling, component selection, simulation, and comparative performance analysis using
MATLAB/Simulink.
Initially, an extensive review of journals, textbooks, research papers, and technical articles was conducted to
understand voltage sag disturbances, transformer inrush currents, and existing voltage compensation techniques.
The study focused on the effects of voltage sag on transformer operation and the role of inverter-based
compensation methods in minimizing transient disturbances. PWM and SVPWM control methods were also
studied to understand their switching characteristics and suitability for voltage sag compensation applications.
Following the research phase, the required system components were selected and modelled in
MATLAB/Simulink. The developed system included a three-phase programmable AC source, multi-winding
transformer, voltage source inverter (VSI), rectifier units, anti-parallel thyristor-diode switches, capacitor filters,
and series RLC loads. A delta-star transformer rated at 220V/220V was incorporated to improve system
protection and reduce harmonic distortion. A six-IGBT universal bridge inverter with a DC-link capacitor was
used to generate the compensation voltage required during sag conditions.
The complete simulation model was designed to include both voltage sag compensation and transformer inrush
current mitigation circuits. Voltage and current measurement units were connected throughout the system to
monitor performance parameters. PWM and SVPWM pulse generation techniques were implemented separately
using a discrete synchronous six-pulse generator to control the switching operation of the VSI and compensation
units.
The system was simulated under different load conditions using both PWM and SVPWM control methods.
Performance analysis was carried out by observing parameters such as transient response, voltage stability,
harmonic distortion, and compensation effectiveness. The outputs obtained from the simulations were then
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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compared to determine the most effective modulation technique for minimizing transformer transients and
improving the performance of the series voltage compensation system.
Figure 1: Simulation model with PWM technique
Figure 2: Simulation model with SVPWM technique
RESULTS AND DISCUSSION
The transient performance of the PWM and SVPWM controlled series voltage compensation system was
evaluated during transformer energization and dynamic load variation conditions. The analysis considered
transformer magnetic flux behaviour, inrush current characteristics, harmonic distortion, and transient recovery
capability.
Figure 12 illustrates the transient response comparison between SPWM and SVPWM during transformer
energization and a subsequent dynamic load step applied at (t = 40) ms. During the initial energization period (t
< 20) ms, the transformer core enters the magnetic saturation region as the flux trajectories exceed the allowable
operating limit of ±0.9 Wb. Under the SPWM control strategy, the maximum flux excursion reached
approximately 1.20 Wb. This increased magnetic flux deviation resulted in reduced effective core inductance
and produced a high asymmetric inrush current peak of 89.3 A.
In comparison, the SVPWM technique demonstrated improved transient control due to its optimized space-
vector switching sequence and improved volt-second balance. The maximum flux excursion was limited to
approximately 1.10 Wb, reducing transformer magnetic stress during energization. As a result, the peak inrush
current was reduced to 66.9 A, representing a 25.1% reduction in transient current stress compared with SPWM
operation.
Following the application of the dynamic load step at (t = 40) ms, both control strategies successfully tracked
the new operating condition. However, the SPWM response exhibited a higher DC-offset component, larger
current oscillations, and slower attenuation before reaching steady state. The SVPWM-controlled system
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achieved faster stabilization with improved current symmetry and reduced transient deviation, demonstrating
superior dynamic response and improved volt-second equilibrium.
The harmonic performance of both modulation strategies was further evaluated and results shown on Figure 11
using Total Harmonic Distortion (THD) analysis. The measured current THD values were 44.74% for SPWM
and 34.01% for SVPWM. The reduction in THD represents approximately a 24% improvement in waveform
quality when using SVPWM.
Performance Parameter
SPWM
SVPWM
Maximum flux excursion (Wb)
1.20
1.10
Peak inrush current (A)
89.3
66.9
Inrush current reduction (%)
—
25.1
Current THD (%)
44.74
34.01
THD improvement (%)
—
24
Transient response
Slower attenuation
Faster stabilization
Magnetic stress
Higher
Reduced
Table 1: Quantitative Performance Comparison of SPWM and SVPWM
The results confirm that both PWM and SVPWM methods can control transformer transients during series
voltage compensation. However, SVPWM provides superior performance through reduced inrush current,
improved harmonic characteristics, lower magnetic flux deviation, and enhanced transient stability. Therefore,
SVPWM is a more effective modulation strategy for advanced power quality improvement and transformer
transient mitigation applications.
Figure 3: Source voltage (PWM technique)
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Figure 4: Load voltage (PWM technique)
Figure 5: Load current (PWM technique)
Figure 6: Transformer magnetic flux (PWM technique)
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Figure 7: Source voltage (SVPWM technique)
Figure 8: Load voltage (SVPWM technique)
Figure 9: Load current (SVPWM technique)
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Figure 10: Transformer magnetic flux (SVPWM technique)
Figure 11. Transient performance comparison between SPWM and SVPWM during transformer
energisation and dynamic load stepping. (a) Transformer phase current showing initial peak inrush
magnitudes Imax = 89.3 A for SPWM vs. 66.9 A for SVPWM) and response to a step-load disturbance
applied at t = 40 ms. (b) Corresponding transformer core magnetic flux trajectories (λ) relative to the
physical saturation threshold (±0.9 Wb).
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Figure 12. Comparative transient analysis of SPWM and SVPWM schemes during transformer
initialization and dynamic disturbances: (a) transformer phase current waveforms highlighting peak
inrush mitigation 89.3 A under SPWM vs. 66.9 A under SVPWM) and dynamic recovery following a
load step change applied at t = 40 ms; (b) corresponding transformer core magnetic flux trajectories
evaluated against the physical saturation boundaries 0.9 Wb.
CONCLUSION
This research investigated the performance of PWM and SVPWM control techniques for transformer transient
mitigation in series voltage compensation systems using MATLAB/Simulink simulation. A transformer-based
compensation model was developed and evaluated under transformer energization and dynamic load disturbance
conditions to compare the effectiveness of both modulation strategies.
The simulation results demonstrated that both SPWM and SVPWM techniques were capable of improving
voltage compensation performance and reducing transformer transient effects. However, the comparative
analysis showed that SVPWM provides superior transient control and improved power quality performance.
During transformer energization, the SPWM technique produced a maximum magnetic flux excursion of
approximately 1.20 Wb, resulting in a peak inrush current of 89.3 A. In comparison, SVPWM limited the flux
excursion to approximately 1.10 Wb and reduced the peak inrush current to 66.9 A, representing a 25.1%
reduction in transient current stress.
The harmonic performance analysis further confirmed the advantage of SVPWM. The measured current Total
Harmonic Distortion (THD) was reduced from 44.74% under SPWM operation to 34.01% using SVPWM,
representing an improvement of approximately 24% in waveform quality. The improved performance is
attributed to the optimized switching sequence and better voltage vector utilization provided by the SVPWM
technique.
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Furthermore, under dynamic load variation conditions, the SVPWM-controlled system demonstrated faster
transient recovery, improved current symmetry, and reduced oscillatory behaviour compared with conventional
PWM control. These characteristics contribute to reduced transformer stress, improved system stability, and
enhanced reliability of series voltage compensation systems.
Therefore, the study concludes that SVPWM provides a more effective control approach for transformer transient
mitigation applications where improved harmonic performance, reduced inrush current, and enhanced dynamic
response are required. The findings support the application of SVPWM-based compensation systems in modern
power networks requiring improved power quality and operational stability.
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2. Xie, W., Xiao, F., Tu, C., et al. (2023). Suppression strategy for the inrush current of a solid-state
transformer caused by the reclosing process.
3. Martínez, G., Corcoles, F., & Bogarra, S. (2023). Saturation curve estimation of three-legged three-phase
transformers using inrush current waveforms. IEEE Transactions on Power Delivery, 2023.
4. Thongsan, T., & Chatchanayuenyong, T. (2023). A Simple and Fast Voltage Disturbance Detection and
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5. Nguyen Le, H.-P., Pham, K. D., & Pham, N. T. (2024). Analyses, Modelling, and SVPWM Control of a
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