Welcome to the

Smart Power Electronics & Control Systems (SPECS) Research Group

Department of Electrical and Computer Engineering

Kansas State University

Welcome to the Smart Power Electronics and Control Systems (SPECS) Research Group, an esteemed research team at Kansas State University in Manhattan, Kansas. Discover our state-of-the-art research laboratories located on the second floor of the Carl R. Ice College of Engineering, precisely in rooms 2186 and 2187. These cutting-edge facilities are continuously expanding and upgrading, featuring setups and equipment worth over two million dollars.

Our ongoing research endeavors encompass multiport converters, high-frequency transients, smart coils, and the development and control of compact converters using SiC and GaN technologies. Our primary research emphasis has been on smart inverters that can function effectively in both grid-forming and grid-following modes, incorporating advanced functionalities such as autonomous operation, self-adjustment, self-protection, and self-repair.

On this website, you'll find highlights of our research achievements, information about our dedicated research staff, and details on our ongoing projects. We are constantly seeking opportunities to foster collaborative relationships, and we encourage prospective students to apply to the graduate program in the Electrical and Computer Engineering Department to join our team.

SPECS Research Highlights

Self-Protective Inverters Against Malicious Setpoints Using Analytical Reference Models

Communication protocols and system-level protection may fail if the data is sent from authorized sources. SPECS research group develops device-level self-protection for grid-interactive smart inverters.

This article presents the concept of self-protective inverters using steady-state and dynamic reference models. The self-protection strategy inspects incoming setpoints from the utility operator or third-party aggregators using analytical reference models before engaging the setpoints to the inverter’s local controller. When a malicious setpoint passes the existing security layers, a smart inverter can examine the integrity of an incoming setpoint in real-time. The efficacy of the self-protection strategy has been tested using a laboratory setup, including a three-phase 3 kVA inverter and a 12 kW regenerative grid emulator. The results verify that the analytical steady-state and dynamic models can provide device-level protection for grid-interactive inverters by preventing harmful setpoints from getting engaged to the local controller.

Synchronization of Inverters in Grid-Forming Mode

SPECS research group developed synchronization methods to addresses an inverter’s seamless connection or reconnection to an islanded microgrid in grid-forming mode.

This article compares two strategies for seamless (re)connection of grid-forming inverters to a microgrid powered by droop-controlled inverters. While an incoming inverter must be synced to the microgrid, seamless syncing and power-sharing are technical challenges for grid-forming inverters. In the first strategy, called the output-sync method, an incoming inverter is synced to the microgrid, and then the circuit breaker is closed for power-sharing. In the second strategy, called the controller-sync method, the inverter initially contributes at zero power following the microgrid frequency, and then the controller is transferred to the mode of power-sharing. Remarkably, the circuit breaker can be kept closed during the syncing process using the controller-sync method as the inverter starts from zero power contribution. In this novel strategy, two controller sets run in parallel, i.e., two parallel control paths are in place for obtaining the magnitude and the phase angle of the PWM reference signal. These parallel paths are synced for seamless transitions when only one of them is engaged to generate the PWM reference signal. The efficacy of these control strategies has been tested in a hardware setup of a microgrid fed by two 5kVA 208V droopcontrolled inverters, and the results are presented in this article.

Weak Grid Impacts on the Stability of Grid-Tied Inverters

SPECS research group studied the impacts of circuit and control parameters on the stability of voltage source inverters using a small-signal state-space model in the synchronously rotating dq-frame of reference.

The full-order state-space model is directly extracted from the pulse width modulation switching pattern and enables the stability analysis of concurrent variations in the three-phase circuit and control parameters. The system stability is a function of both the grid R/X ratio and grid inductance. Despite the grid-side inductor of the LCL filter is in series with the grid impedance, they have different impacts on the stability of a grid-tied PQ-controlled VSI, i.e., an increase in the filter inductance may improve the system stability in a weak grid. These findings are verified through simulated and experimentally obtained data.

Dynamic Performance of Variable-Frequency AC-DC Converters

Variable-frequency schemes have increased their presence in aerospace applications while maintaining their popularity in hybrid electric vehicles.

The dynamic performance under parameter mismatch of a variable-frequency ac-dc converter is analyzed. A Lyapunov-based adaptive parameter estimation algorithm is developed, and included in the control scheme to address the performance degradation that occurs from the parameter mismatch between the hardware and the controller due to the variable-frequency and ambient operating conditions. Because of this adaptive parameter estimation technique, the proposed controller can effectively regulate the output dc-bus voltage and maintain a unity power factor. The validity and performance effectiveness of the proposed controller are verified experimentally through a laboratory-scaled three-phase 1.5 kW 270 V SiC-based two-level voltage-source-converter using a variable-frequency programmable grid emulator. The results demonstrate that by including the developed adaptive parameter estimation algorithm in the control scheme, the performance of the ac-dc converter can be improved under rapid input frequency changes and filter parameter variations. 


Ultra fast Rectifier for Variable Frequency Applications

SPECS research group developed a dynamic Performance of Variable-Frequency AC-DC Converters. Variable-frequency schemes have increased their presence in aerospace applications while maintaining their popularity in hybrid electric vehicles.

The dynamic performance under parameter mismatch of a variable-frequency ac-dc converter is analyzed. A Lyapunov-based adaptive parameter estimation algorithm is developed, and included in the control scheme to address the performance degradation that occurs from the parameter mismatch between the hardware and the controller due to the variable-frequency and ambient operating conditions. Because of this adaptive parameter estimation technique, the proposed controller can effectively regulate the output dc-bus voltage and maintain a unity power factor. The validity and performance effectiveness of the proposed controller are verified experimentally through a laboratory-scaled three-phase 1.5 kW 270 V SiC-based two-level voltage-source-converter using a variable-frequency programmable grid emulator. The results demonstrate that by including the developed adaptive parameter estimation algorithm in the control scheme, the performance of the ac-dc converter can be improved under rapid input frequency changes and filter parameter variations. 


High Frequency Models for Magnetic Circuits and Motors

A three-phase universal motor model depicting the motor behavior from low to high frequencies is developed. The universal model is derived by extending low-frequency standard T-equivalent circuit (IEEE Standard 112), and thus high-frequency effects caused by common-mode and differential-mode can be included in the motor model.

In motor-drive systems, which generally consist of an ac–ac converter, a cable, and an ac electric motor, fast semiconductor devices (e.g., IGBTs, SiC MOSFETs, and recently GaN Transistors) are desirable in order to reduce switching losses and consequently obtain higher efficiency in a compact package. Fast switching means shorter voltage rise time, which can lead to the reflected wave phenomenon as well as high-frequency leakage currents through the system’s stray capacitors. Reflected waves cause voltage spikes at the motor terminals, and the high-frequency leakage currents cause electromagnetic interference (EMI). These two phenomena are commonly modeled as two decoupled single-line circuits, namely, differential mode (DM) and common-mode (CM). Herein, low-to-high frequency model is presented, where both differential and common mode phenomena can be studied. For more information, one may check:

SPECS Spotlights

For details, please visit "Research" section!

Grid of Nanogrid (GNG) Testbed

SPECS research group will develop "grid of nanogrid (GNG) testbed" funded by National Science Foundation (NSF). 

The proposed testbed provides the capability to examine various hypotheses and research ideas on nanogrid controls, hardware, software, communications and security protocols, and standards, under all possible envisioned operating conditions of the power distribution grid, including faults and anomalies in both islanded and networked modes. 

"Care-PV" Project

SPECS research group will investigate technologies to enhance distributed grid resiliency and cybersecurity with high penetration of photovoltaics

U.S. Department of Energy (DOE), Solar Energy Technologies Office (SETO) selected "CARE-PV" project proposed by Kansas State University (KSU) power group to advance solar energy’s role in strengthening resiliency and cybersecurity of the electricity grid. 

Smart Three-Phase Power Converters for More Electric Powertrains

SPECS research group is developing and testing "Smart Three-Phase Power Converters for More Electric Powertrains" to  seamlessly regulate the output DC voltage while maintaining unity power factor with very low total harmonic distortion in three-phase input currents.

Different control techniques are proposed for this application such as a Lyapunov-based adaptive parameter estimation algorithm,  a multi-variable direct model reference adaptive control, and  step-ahead predictive control. 1.5 kW SiC-MOSFET two-level voltage-source converter topology is used.