Performance Analysis of V2G-Enabled Microgrid Using Low-Fidelity Simulation for Grid Support Applications
Design and Performance Evaluation of Monopole Antenna for Wireless Communication Applications
COMPARATIVE EVALUATION OF ROTOR-AND STATOR-CONTROLLED DFIGS UNDER VOLTAGE DIPS AND REACTIVE POWER TRANSIENTS IN HVDC-LIGHT INTEGRATED WIND ENERGY SYSTEMS
Model Reference Adaptive Control of Electric Vehicle Induction Motor Drive Fed by a SiC MOSFET Powered by Seven Level CHB Multilevel Inverter
Performance Comparison of Multi Phase Switched Reluctance Motors with Varying Pole Configurations and Power Ratings
Low Power Optimization Technique Based Linear Feedback Shift Register
Leakage Power Reduction Using Multi Modal Driven Hierarchical Power Mode Switches
Loss Distribution Methodology with a Sense Of Emission Dispatch
Validation of IOV chain using OVM Technique
Performance of Continuous and Discontinuous Space Vector Pwm Technique for Open End Winding Induction Motor Drive
Electronic Circuit Design for Electromagnetic Compliance through Problem-Based Learning
Trioinformatics: The Innovative and Novel Logic Notation That Defines, Explains, and Expresses the Rational Application of The Law of Trichotomy for Digital Instrumentation and Circuit Design
Design Of a Novel Gated 5T SRAM Cell with Low Power Dissipation in Active and Sleep Mode
A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures
An Efficient Hybrid PFSCL based Implementation of Asynchronous Pipeline
The increasing integration of electric vehicles (EVs) into power systems offers a promising avenue for grid support through Vehicle-to-Grid (V2G) technology. This study presents a low-fidelity simulation-based evaluation of a bidirectional V2G control strategy designed to enhance microgrid stability and frequency regulation. The proposed scheme demonstrates its effectiveness by maintaining AC grid frequency within a narrow tolerance of ±0.05–0.06Hz during dynamic load variations, actively contributing to grid resilience. Controlled bidirectional power flow, smooth charging in G2V mode and regulated discharging in V2G mode ensures dynamic grid response without inducing harmful transients, thereby supporting battery health. The battery state-of-charge (SOC) profiles exhibit gradual and predictable trends, which are favorable for long-term battery performance. Reactive power compensation and tightly regulated DC-link voltage (~700 V ± 5 V) further enhance voltage quality and converter reliability. Although, the simulation environment prioritizes computational efficiency over detailed switching dynamics, it proves valuable for early-stage feasibility testing, parameter sensitivity analysis, and system-level planning. The results have broad application potential, including grid service provisioning, EV fleet behavior analysis, educational tools, and preliminary economic and policy assessments. Finally, this work highlights the practical viability of V2G-enabled microgrids and the strategic importance of low-fidelity simulations in accelerating development and guiding future high-fidelity or experimental validations.
This paper presents the design and realization of a compact, frequency-reconfigurable circular monopole microstrip antenna tailored for dual-band wireless communication. The antenna incorporates a circular radiating patch with integrated radial slots and a single PIN diode placed at their junction to facilitate dynamic switching between 2.3 GHz and 5.7 GHz, aligning with Wi-Fi and WLAN operating bands. The proposed structure is modeled and analyzed using HFSS, demonstrating strong impedance matching with return loss values reaching up to –20 dB and a stable VSWR below 1.7 in both reconfigurable states. Analysis of surface current distribution and radiation patterns confirms effective current steering enabled by diode switching, yielding desirable radiation behavior and directional gain. With its compact geometry, simple configuration, and reliable frequency agility, the antenna is an excellent candidate for integration into modern reconfigurable wireless devices and IoT applications.
Doubly-Fed Induction Generators (DFIGs) play a crucial role in variable-speed wind energy systems, as they efficiently convert energy, require only partial-scale converters, and are easily adaptable to the grid's changing conditions. Historically, Rotor-Controlled DFIGs (RC-DFIGs) manage torque by utilizing back-to-back converters on the rotor, with the stator directly connected to the grid. Recent research has focused on SC-DFIGs and their ability to alter stator-side values, albeit through direct fixed-frequency rotor excitation. This offers the potential for hardware simplification and enhanced resilience. This research initiates the examination of configurations across sub-synchronous, synchronous, and super-synchronous operational modes with emphasis on voltage dips and reactive power transients in HVDC Light–integrated wind energy systems. We don't use static benchmarks; instead, we examine how each dominating topology reacts to changing grid conditions, such as rapid voltage sags and reactive power transients. A unified dq-axis model is created to make sure that all effects are captured with the right level of detail. This model enables us to closely study and accurately predict electromagnetic torque response, rotor current behavior, and harmonic distortion. Our simulations demonstrate that SC-DFIGs are more effective for handling dynamic transients, rotor current management, and harmonic suppression. These changes enhance the low-voltage ride-through (LVRT) capabilities, a requirement for modern grid standards. Additionally, an economic case study of a 3.3 MW wind turbine reveals that SC-DFIGs can reduce costs by approximately 13.7% due to their absence of slip-ring assemblies and the ease of their construction. These findings collectively indicate the practical feasibility of SC-DFIGs for HVDC Light–connected wind farms, hybrid AC–DC systems, and flexible frequency transmission networks.
The proposed control strategy synergistically integrates Model Reference Adaptive Control (MRAC) with Field-Oriented Control (FOC) to achieve highly precise and dynamic torque and magnetic flux in induction motor propulsion units. It effectively compensates for nonlinearities and parameter variations under dynamic operating conditions. Integration with a seven-level CHB multilevel inverter employing SiC MOSFETs enhances efficiency, switching speed, and voltage quality. Unlike conventional FOC, which is sensitive to parameter drift due to thermal and magnetic effects, the adaptive law, derived through Lyapunov stability theory, ensures robust speed tracking despite disturbances. Simulation results confirm improved transient performance, reduced torque ripple, superior tracking accuracy, and lower total harmonic distortion (THD). This architecture offers a reliable, high-efficiency solution for advanced electric vehicle (EV) propulsion systems.
Switched Reluctance Motors (SRMs) have garnered significant attention for their robustness, efficiency, and fault-tolerant capabilities, especially in applications demanding high reliability. This study presents a comprehensive comparative analysis of 3-phase (6/4), 4-phase (8/6, 75 kW), and 5-phase (10/8, 10 kW) SRM configurations, examining the effects of varying stator and rotor pole configurations and power ratings on motor performance. The research investigates critical parameters, including torque ripple, efficiency, electromagnetic flux distribution, and fault tolerance across these configurations. A 3-phase 6/4 SRM is frequently preferred for general applications due to its simpler structure and cost- effectiveness; however, it suffers from higher torque ripple. The 4-phase 8/6 SRM (75 kW) shows improved torque smoothness and higher power output, making it ideal for applications requiring stable high-power performance. The 5-phase 10/8 SRM (10 kW) further enhances fault tolerance and torque stability, showcasing its suitability for critical applications where uninterrupted operation is essential. MATLAB simulations were employed to model and validate the performance of each configuration under various load conditions. The findings provide valuable insights into the trade- offs associated with phase count, pole configuration, and power rating, guiding the selection of SRM configurations for specific applications. This work contributes to optimizing SRM designs by highlighting the advantages of multi-phase configurations in minimizing torque ripple, enhancing fault tolerance, and improving operational efficiency.
