Behera, Sameer Kumar (2025) Performance Enhancement Of Grid-tied Virtual Synchronous Generators For Renewable PV Systems. PhD thesis.
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Abstract
The Centralized generation paradigm in power systems is undergoing a mutation to distributed generation ones. The change-over in systems is done by keeping in mind the future smart grid concepts. The present scenario depicts the dependency of the power-generating units on renewables rather than on the conventional ones which are on the verge of depletion. With a rapidly increasing application of renewables and their positive aspects like clean, omnipresence, sustainability, etc, and especially the Photovoltaic-generators (PVGs) which are being grid-connected through Interfacing Power Electronic Converters (IPEC). However, PVGs lack inherent rotational inertia, posing challenges in grid synchronism and stability. Now, focusing on the power quality concerns, which mainly include:- 1) Alteration in voltage and frequency due to dynamic change in PVG parameters like irradiance, temperature, etc. 2) Harmonics introduced by interfacing IPECs and other non-linear loads in the system with the huge penetration of renewables, power fluctuations due to the variable nature of renewables, and degradation of frequency regulation along with injection of harmonics have become significant, but a sophisticated design and control technique will suffice for improved power quality. Therefore, the concept of the virtual synchronous generator (VSG) eventually, emerged as an attractive solution for controlling grid-tied inverters. The variation in system frequency and voltage affects both the active power and reactive power injected into the grid. So, an adaptive control technique involving the regulation of the control parameter indices present in the Active Power Loop (APL) and Reactive Power Loop (RPL), to properly track the active and reactive power injected into the utility grid from the three-phase VSG system is presented in the thesis. Additionally, to address the voltage variations and phase angle variations occurring due to the energy storage elements, the control of the RPL is important. Also, it’s used to maintain voltage regulation and improve the power factor of the VSG system. Small-signal analysis of the APL and RPL and point of common coupling (PCC) have been derived in the thesis for better analysis of dynamic performances. The adaptive control approach also helps in optimizing the dynamic indexes such as rise time, delay time, and response settling time. Now, considering the attenuation of harmonics in grid current and dampening of the oscillations in power occurring due to the PVG dynamics an elevated adaptive integrated control strategy (EAICS) for a three-phase grid-tied virtual synchronous generator (TPGTVSG) system is also proposed in this thesis. The EAICS control strategy has a modified proportional resonant current (MPRC) controller with adaptive power control in a VSG technique. Furthermore, under distorted grid voltage conditions, the injected grid current harmonics are suppressed using a phase-corrected reference current (PCRC) generator, which also dampens the power and frequency oscillations during grid voltage swells and sags. Therefore, collaborating all three control techniques in EAICS control makes the system frequency more adaptive without using a phase lock loop (PLL). In addition to stabilizing the oscillations in power, the grid frequency is further accomplished by appropriately adjusting the control coefficients using the VSG control loop by adopting small-signal modeling of the VSG's control to scrutinize the influence of parameters perturbation on power and frequency. Thereby, improving the frequency nadir and system resiliency. Furthermore, a single-stage photovoltaic energy conversion system (PECS) is designed to integrate community residences (CR) with the power grid as a real-time application of the VSG concept. Instead of using CRs as power consumers, this system leverages them as power generators. Besides, the lack of inertia in PECS makes its integration with the utility grid challenging, the presented work is mainly focused on enhancing the grid's interactivity by introducing community residence virtual Synchronous Generators (CRVSG). CRVSG’s performance is evaluated for distortions in grid voltage and dynamic load changes, demonstrating its capability to deliver distortion-free, balanced grid currents by improving the power factor, thereby maintaining power quality. Meanwhile, during lower solar irradiance, CRVSG improves the power quality by supplementing local demand along with the power imported from the utility grid. Additionally, during these conditions, the PECS power decreases or experiences significant voltage fluctuations. The voltage across the DC-link adaptively adjusts in response to grid voltage changes, enhancing the reliability of the CRVSG system and minimizing operational losses. Finally, grid-side and PECS-side uncertainties like outage and restoration conditions have been appropriately analyzed. Therefore, the presented TPGTVSG with various functionalities has been modelled in MATLAB/Simulink platform, and the same has been validated the same for all aforementioned control schemes experimentally by a laboratory prototype.
| Item Type: | Thesis (PhD) |
|---|---|
| Uncontrolled Keywords: | Active power control; Adaptive parameter estimation; Community residence; Grid synchronization; Harmonic mitigation; Photovoltaic generator (PVG); Power ripple minimization; Power quality; Reactive power control; Resiliency; Single-stage operation; Small-signal modelling analysis; Seamless control approach; Virtual inertia; Virtual synchronous generator (VSG). |
| Subjects: | Engineering and Technology > Electrical Engineering > Power Systems > Renewable Energy Engineering and Technology > Electrical Engineering > Power Systems Engineering and Technology > Electrical Engineering > Power Transformers |
| Divisions: | Engineering and Technology > Department of Electrical Engineering |
| ID Code: | 10867 |
| Deposited By: | IR Staff BPCL |
| Deposited On: | 24 Apr 2026 10:02 |
| Last Modified: | 24 Apr 2026 10:02 |
| Supervisor(s): | Panda, Anup Kumar and Naik N., Venkatramana |
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