Small signal averaged transfer function model and controller design of modular solid state transformers

Jeyapradha, R. B.; Rajini, V.

doi:10.1016/j.isatra.2018.09.012

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…The control loops for each ST stage are implemented in cascade in the reference plane dq; the faster dynamics are set for the current loop and the slower dynamics for the voltage loops. Each control loop is composed of a PI controller, and the tuning process of the k p and k i constants are performed from the transfer functions in Table 2 using tuning techniques based on the system's frequency response, ensuring phase margin and gain margin conditions per the process shown in [37]. Under these conditions, the ST can work in either step-down or step-up mode.…”

Section: Power Electronics Interfacementioning

confidence: 99%

Real-Time Testing Optimal Power Flow in Smart-Transformer-Based Meshed Hybrid Microgrids: Design and Validation

Núñez-Rodríguez,

Unsihuay-Vila,

Posada

et al. 2024

Energies

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The smart transformer (ST) is a multiport and multi-stage converter that allows for the formation of meshed hybrid microgrids (MHMs) by enabling AC-DC ports in medium and low voltage. This type of microgrid has advantages over the performance of conventional hybrid AC-DC microgrids (HMGs); however, the number of degrees of freedom of the ST increases the complexity of the energy management systems (EMSs), which require adequate and accurate modeling of the power flow of the converters and the MG to find the feasible solution of optimal power flow (OPF) problems in the MHM. An ST’s equivalent power flow model is proposed for formulating the MHM OPF problem and developing low-frequency equivalent models integrated with a decoupled hierarchical control architecture under a real-time simulation approach to the ST-based MHM. A simulation model of the MHM in the Simulink® environment of Matlab® 9.12 is developed and implemented under a digital real-time simulation (DRTS) approach on the OPAL-RT® platform. This model allows for determining the accuracy of the developed equivalent models, both low-frequency and power flow, and determining the MHM performance based on optimal day-ahead scheduling. Simulation test results demonstrated the ST equivalent model’s accuracy and the MHM’s accuracy for OPF problems with an optimal day-ahead scheduling horizon based on the model-in-the-loop (MIL) and DRTS approach.

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Section: Power Electronics Interfacementioning

confidence: 99%

Real-Time Testing Optimal Power Flow in Smart-Transformer-Based Meshed Hybrid Microgrids: Design and Validation

Núñez-Rodríguez,

Unsihuay-Vila,

Posada

et al. 2024

Energies

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“…The isolation stage, which is also called the DC-DC stage, comprises two H-bridges with a high-frequency transformer. A DAB converter is also applied in this stage [34]. The output of the input stage is fed to the DAB converter, and the output of the converter is fed to the inverter or is considered the output stage.…”

Section: Fundamental Topologies Of Sstmentioning

confidence: 99%

State–Space Modelling and Stability Analysis of Solid-State Transformers for Resilient Distribution Systems

Mishra,

Abbasi,

Eskandari

et al. 2024

Applied Sciences

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Power grids are currently undergoing a significant transition to enhance operational resilience and elevate power quality issues, aiming to achieve universal access to electricity. In the last few decades, the energy sector has witnessed substantial shifts toward modernizing distribution systems by integrating innovative technologies. Among the innovations, the solid-state transformer (SST) is referred to as a promising technology due to its flexible power control (better reliability) and high efficacy (by decreasing losses) compared with traditional transformers. The design of SST has combined three-stage converters, i.e., the input, isolation, and output stages. The key objective of this design is to implement a modern power distribution system to make it a more intelligent and reliable device in practice. As the power converters are used in SST, they exhibit non-linear behavior and can introduce high-frequency components, making stability more challenging for the system. Besides, the stability issue can be even more complicated by integrating the distributed energy resources into the distribution system. Thus, the stability of SST must be measured prior to /during the design. To determine stability, state-space modeling, and its controller design are important, which this paper explains in detail. Indeed, the system’s stability is measured through the controllability and observability test. Further, the stability analysis is performed using frequency and time-domain diagrams: the Bode plot, Nyquist plot, Nichols chart, Root locus, pole-zero plot, and Eigen plot. Finally, the SST Simulink model is tested and validated through real-time digital simulation using the OPALRT simulator to show its effectiveness and applicability. The stability performance of the proposed SST is evaluated and shows the effectiveness of the controller design of each converter circuit.

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High Power Density Laboratory Prototype of Single-Phase Solid-State Transformer

Jeyapradha¹,

Rajini

Vikram

2021

J Control Autom Electr Syst

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Small signal averaged transfer function model and controller design of modular solid state transformers

Cited by 7 publications

References 18 publications

Real-Time Testing Optimal Power Flow in Smart-Transformer-Based Meshed Hybrid Microgrids: Design and Validation

Real-Time Testing Optimal Power Flow in Smart-Transformer-Based Meshed Hybrid Microgrids: Design and Validation

State–Space Modelling and Stability Analysis of Solid-State Transformers for Resilient Distribution Systems

High Power Density Laboratory Prototype of Single-Phase Solid-State Transformer

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