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P Jeyarani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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ACO-Optimized DSTATCOM for Reactive Power Compensation in PV-Integrated Weak Grids Rajasree R; Lakshmi D; Stalin K; Karthick Manoj R; P Jeyarani
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1467

Abstract

The integration of photovoltaic generation into weak distribution grids introduces voltage instability, reactive power imbalance, harmonic distortion, and prolonged transient response due to low short-circuit capacity and high grid impedance. This study proposes an Ant Colony Optimization-based Distribution Static Synchronous Compensator for improving voltage regulation and power quality in a PV-integrated weak grid. The optimization algorithm is used to tune the proportional–integral controller parameters by minimizing a composite objective involving PCC voltage deviation, reactive power error, total harmonic distortion, feeder power loss, and settling time. The proposed system is modeled in MATLAB/Simulink and evaluated against two benchmark configurations: an uncompensated weak-grid system and a conventional PI-controlled DSTATCOM. The results show that the proposed controller reduces PCC voltage deviation from 0.060 pu to 0.012 pu and reactive power demand from 150 kVAR to 5 kVAR. Total harmonic distortion decreases from 6.5% to 1.6%, while the power factor improves from 0.78 lagging to 0.995. In addition, feeder real-power losses are reduced from 45 kW to 28 kW, and the settling time decreases from 1.8 s to 0.5 s. These findings demonstrate that ACO-based controller tuning provides consistent improvements in voltage regulation, reactive power compensation, harmonic mitigation, feeder efficiency, and dynamic recovery under weak-grid operating conditions.
Lion-Optimized ANFIS Control for a Hybrid PV–Wind–Battery System with a Reduced-Switch 31-Level Inverter for Induction Motor Drives R K Padmashini; D Lakshmi; J N Rajesh Kumar; C N Ravi; P Jeyarani
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1466

Abstract

This study proposes and experimentally validates a hybrid photovoltaic–wind–battery energy conversion system for driving a three-phase induction motor under variable renewable-source conditions. The system integrates a high-gain SEPIC converter, a PWM rectifier, a bidirectional battery converter, a reduced-switch 31-level cascaded H-bridge inverter, and a Lion Optimization Algorithm–tuned adaptive neuro-fuzzy inference system controller. The proposed controller performs maximum power point tracking and regulates the common DC-link voltage by adjusting the converter and rectifier switching commands in response to changes in solar irradiance, photovoltaic temperature, and wind-side voltage. The system was evaluated using MATLAB/Simulink and an FPGA-based experimental prototype. The photovoltaic array produced approximately 134 V and 75 A under the tested operating conditions, while the SEPIC converter and PWM rectifier maintained the DC-link voltage near 400 V. The battery state of charge remained around 60%, indicating balanced charging and discharging operation. The 31-level inverter generated a stable multilevel output with an RMS voltage of approximately 499 V and real power of approximately 4990 W. The simulated total harmonic distortion was 1.39%, while the experimental prototype achieved 2.85%. The experimental results were consistent with the simulation outcomes and confirmed the effectiveness of the proposed controller in improving transient response, reducing steady-state fluctuations, and maintaining stable power delivery to the induction motor. The proposed configuration provides a feasible solution for renewable-powered motor-drive and marine propulsion applications requiring high voltage gain, adaptive control, energy-storage coordination, and low harmonic distortion.
Co-Authors C N Ravi D Lakshmi J N Rajesh Kumar Karthick Manoj R Lakshmi D R K Padmashini Rajasree R Stalin K