Simulation Lab
MTech EEE Project Gallery
Snapshots from our MATLAB Simulink, PSCAD and Python EEE simulation lab — real IEEE 2026 MTech and PhD project implementations by our EEE scholars in Bangalore.
IEEE 2026 MTech and PhD project topics for Electrical & Electronics Engineering (EEE) scholars in Bangalore — across 13 high-impact power systems and power electronics domains. Smart Grid Monitoring, Microgrid Optimization, EV Charging Infrastructure, Advanced Inverter Topologies, Power Quality Correction, Hybrid Renewable Systems, MPPT, Renewable Grid Integration, Intelligent Motor Drives, Industrial Condition Monitoring, Process Automation and Electrical Load Forecasting — with MATLAB Simulink, PSIM, PSCAD and Python guidance.
Click any domain below to jump directly to its IEEE 2026 project topics table — each domain contains 2+ high-impact IEEE Xplore research topics with tool and level guidance.
Every topic is sourced from IEEE Xplore 2026. Each domain has 2 or more project topics with recommended simulation tool, complexity level (MTech / PhD) and research keywords — ready to implement with full MATLAB, PSIM or Python support from our expert team.
IoT-enabled real-time monitoring, cyber-physical security, fault detection and AI-driven smart grid state estimation for modern power systems
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | IoT-Based Real-Time Smart Grid Monitoring System using Raspberry Pi and MQTT Protocol IEEE 2026 | Python / MATLAB | MTech |
| 02 | Deep Learning Based Cyber Attack Detection in Smart Grid SCADA Communication Systems IEEE 2026 | Python / TensorFlow | PhD |
| 03 | Graph Neural Network Based Power System State Estimation for Smart Grid Observability IEEE 2026 | Python / PyTorch | PhD |
Energy management, droop control, battery scheduling, reinforcement learning and multi-agent optimization for AC/DC microgrids
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Reinforcement Learning Based Energy Management for Grid-Connected Microgrid with Battery Storage IEEE 2026 | Python / MATLAB | PhD |
| 02 | Adaptive Droop Control for Optimal Power Sharing in Islanded DC Microgrid IEEE 2026 | MATLAB Simulink | MTech |
| 03 | Multi-Objective Energy Optimization of Solar-Wind-Battery Microgrid using Metaheuristic Algorithm IEEE 2026 | MATLAB / Python | MTech / PhD |
AI-based fault detection, wide area protection, travelling wave relaying, phasor measurement units (PMU) and HVDC protection
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Machine Learning Based High-Impedance Fault Detection in Distribution Lines using PMU Data IEEE 2026 | Python / MATLAB | MTech / PhD |
| 02 | Adaptive Distance Protection Scheme for Transmission Lines with High Penetration of Renewables IEEE 2026 | MATLAB / PSCAD | MTech |
| 03 | Deep Learning Based Fault Classification and Location in VSC-HVDC Transmission Systems IEEE 2026 | Python / PSCAD | PhD |
Bidirectional V2G chargers, wireless EV charging, fast charger grid impact, SiC/GaN on-board chargers and smart charging scheduling
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Bidirectional Vehicle-to-Grid (V2G) EV Charger Design with Grid Frequency Regulation Support IEEE 2026 | MATLAB / PSIM | MTech |
| 02 | AI Based Smart EV Charging Scheduling for Minimizing Peak Grid Demand in Urban Charging Stations IEEE 2026 | Python / MATLAB | PhD |
| 03 | SiC MOSFET Based High-Efficiency On-Board EV Charger with GaN Totem-Pole PFC Stage IEEE 2026 | PLECS / PSIM | MTech / PhD |
Multilevel inverters, T-type NPC, modular multilevel converters (MMC), Z-source inverters, impedance source and high-frequency link inverters
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Switched Capacitor Based Switched-Boost Multilevel Inverter for High Gain PV Application IEEE 2026 | MATLAB / PSIM | MTech |
| 02 | Model Predictive Control of Modular Multilevel Converter (MMC) for STATCOM Application IEEE 2026 | MATLAB Simulink | PhD |
| 03 | T-Type Neutral Point Clamped Inverter with Reduced Switching Losses for Grid-Tied PV IEEE 2026 | PSIM / PLECS | MTech / PhD |
Active power filters, unified power quality conditioners (UPQC), dynamic voltage restorers (DVR), harmonic mitigation and power factor correction
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | AI-Enhanced Shunt Active Power Filter for Real-Time Harmonic Compensation in Industrial Loads IEEE 2026 | MATLAB Simulink | MTech / PhD |
| 02 | Dynamic Voltage Restorer (DVR) with Predictive Control for Voltage Sag and Swell Mitigation IEEE 2026 | MATLAB / PSCAD | MTech |
| 03 | Unified Power Quality Conditioner (UPQC) with Renewable Energy Integration for Microgrid IEEE 2026 | MATLAB Simulink | PhD |
Solar-wind-battery hybrid systems, hydrogen storage, optimal sizing, techno-economic analysis and intelligent power management for hybrid microgrids
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Optimal Sizing and Techno-Economic Analysis of Solar-Wind-Hydrogen Hybrid Energy System for Rural Electrification IEEE 2026 | MATLAB / Python | MTech / PhD |
| 02 | Intelligent Power Management Strategy for Solar-Wind-Battery-Diesel Hybrid Microgrid using Fuzzy Logic IEEE 2026 | MATLAB Simulink | MTech |
| 03 | Frequency Regulation in Hybrid Renewable Microgrid using Model Predictive Control and BESS IEEE 2026 | MATLAB / PSCAD | PhD |
AI-based and conventional MPPT for solar PV and wind energy — under partial shading, variable irradiance, reinforcement learning and bio-inspired optimization
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Deep Reinforcement Learning Based Global MPPT for Solar PV under Complex Partial Shading Conditions IEEE 2026 | Python / MATLAB | PhD |
| 02 | Hybrid PSO-GWO Based MPPT Algorithm for Standalone PV System under Rapidly Changing Irradiance IEEE 2026 | MATLAB Simulink | MTech |
| 03 | Variable Step Size INC-MPPT with Adaptive Perturbation for Wind Energy Conversion System IEEE 2026 | MATLAB Simulink | MTech / PhD |
Grid stability with high renewable penetration, virtual inertia, grid-forming inverters, voltage and frequency regulation, DFIG and PMSG wind integration
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Virtual Inertia Emulation from Grid-Forming Inverter for Frequency Stability in High-Renewable Grids IEEE 2026 | MATLAB / PSCAD | PhD |
| 02 | Low Voltage Ride-Through (LVRT) Enhancement of DFIG Wind Farm using Hybrid Energy Storage IEEE 2026 | MATLAB Simulink | MTech |
| 03 | Reactive Power Support and Voltage Regulation of Grid-Connected PV Plant using Advanced Control IEEE 2026 | MATLAB / PSCAD | MTech / PhD |
Sensorless PMSM/BLDC control, DTC, FOC, AI-based speed control, five-phase drives, switched reluctance motor and torque ripple minimization
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Deep Learning Based Sensorless Speed Estimation and Control of PMSM for EV Traction Applications IEEE 2026 | MATLAB / Python | PhD |
| 02 | Model Predictive Direct Torque Control of Five-Phase Induction Motor with Reduced Torque Ripple IEEE 2026 | MATLAB Simulink | MTech |
| 03 | Fuzzy-PI Hybrid Speed Controller for Switched Reluctance Motor Drive in Industrial Applications IEEE 2026 | MATLAB Simulink | MTech / PhD |
AI-based motor fault detection, bearing diagnostics, insulation degradation monitoring, vibration signature analysis and transformer health monitoring
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | CNN-LSTM Based Induction Motor Bearing Fault Detection using Vibration and Current Signature Analysis IEEE 2026 | Python / TensorFlow | MTech / PhD |
| 02 | Transformer Insulation Condition Monitoring using Dissolved Gas Analysis and Machine Learning IEEE 2026 | Python / Scikit-learn | MTech |
| 03 | Digital Twin Based Real-Time Condition Monitoring and Remaining Useful Life Prediction of Induction Motor IEEE 2026 | Python / MATLAB | PhD |
SCADA-based automation, PLC programming, Industry 4.0 integration, AI-driven process control, IIoT systems and energy-efficient industrial automation
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | IIoT Based SCADA System for Real-Time Industrial Process Monitoring and Anomaly Detection IEEE 2026 | Python / LabVIEW | MTech |
| 02 | AI-Based Adaptive PID Controller Design for Nonlinear Industrial Process Control IEEE 2026 | MATLAB Simulink | MTech / PhD |
| 03 | Digital Twin Integration for Smart Factory Energy Optimization under Industry 4.0 Framework IEEE 2026 | Python / MATLAB | PhD |
Short-term and long-term load forecasting, solar/wind power generation prediction, probabilistic forecasting and AI-based demand response
| # | IEEE 2026 MTech EEE Project Topic | Tool / Platform | Level |
|---|---|---|---|
| 01 | Temporal Fusion Transformer Based Short-Term Electrical Load Forecasting with Demand Response Integration IEEE 2026 | Python / PyTorch | PhD |
| 02 | Hybrid CNN-BiLSTM Model for Solar PV Power Generation Forecasting under Variable Weather Conditions IEEE 2026 | Python / TensorFlow | MTech |
| 03 | Probabilistic Wind Power Forecasting using Quantile Regression and Conformal Prediction for Grid Planning IEEE 2026 | Python / Scikit-learn | MTech / PhD |
A complete EEE simulation and AI toolchain — from power systems and power electronics simulators to machine learning frameworks — used for every IEEE 2026 MTech EEE project with full source code and model support.
End-to-end guidance from IEEE base paper selection to final viva — covering all 13 EEE domains with simulation, implementation and Scopus Journal Publication support.
Smart grid monitoring, transmission protection, PMU-based state estimation, HVDC fault analysis, renewable grid integration and microgrid energy management using MATLAB, PSCAD and Python.
Multilevel inverters, SiC/GaN converters, active power filters, UPQC, DVR, EV chargers and intelligent motor drives (PMSM, BLDC, IM, SRM) using MATLAB Simulink, PSIM and PLECS.
Solar PV MPPT (AI/bio-inspired), wind DFIG/PMSG, hybrid solar-wind-battery systems, optimal sizing with HOMER, hydrogen storage, grid-forming inverters and BESS control.
CNN-LSTM fault detection, transformer forecasting, reinforcement learning control, GNN state estimation, digital twin condition monitoring and probabilistic load/generation forecasting using Python and TensorFlow.
SCADA-based process monitoring, IIoT sensor integration, adaptive PID control, Industry 4.0 digital twin, energy-efficient automation and real-time anomaly detection using LabVIEW and Python.
Q1/Q2 Scopus indexed journal writing, IEEE Xplore base paper procurement, MTech synopsis, PhD thesis documentation and complete viva preparation for all EEE project domains.
Serving VTU, Anna University, JNTU and GTU MTech EEE and PhD scholars since 2008 with 100% project completion and Scopus journal support across all 13 EEE research domains.
Authentic IEEE 2026 EEE papers from IEEE Xplore — sourced, understood and fully implemented with closed-loop simulation results, waveforms and AI model accuracy reports.
Full licensed tools: MATLAB Simulink, PSIM, PSCAD/EMTDC, PLECS, LTspice, LabVIEW, Python (TensorFlow, PyTorch, Scikit-learn), ETAP, HOMER Pro and OpenDSS under one roof.
Team of PhD and MTech qualified Electrical Engineers with 10+ years of power systems, power electronics, renewable energy, drives and industrial automation research and industry experience.
Complete from paper selection, problem formulation, MATLAB/Python modelling, controller design, simulation, result analysis, comparison with existing work to final documentation, PPT and viva.
Unique expertise in combining deep learning, reinforcement learning and transformer models with power systems — smart grid, load forecasting, fault detection and digital twin EEE projects.
On-time delivery with MATLAB/PSIM/Python project files, simulation results, IEEE paper, complete thesis chapter, PPT and full viva preparation support for MTech and PhD scholars.
Snapshots from our MATLAB Simulink, PSCAD and Python EEE simulation lab — real IEEE 2026 MTech and PhD project implementations by our EEE scholars in Bangalore.
Get complete end-to-end support for IEEE 2026 MTech EEE Projects — Smart Grid Monitoring, Microgrid Energy Optimization, Transmission & Protection, EV Charging Infrastructure, Advanced Inverter Topologies, Power Quality Correction, Hybrid Renewable Systems, MPPT, Renewable Grid Integration, Intelligent Motor Drives, Industrial Condition Monitoring, Process Automation, Load & Generation Forecasting — MATLAB Simulink, PSIM, PSCAD, Python, TensorFlow, MTech Thesis and PhD Guidance in Bangalore.
+91 95919 12372
projectsinbangalore@gmail.com
IEEE Base Papers • Smart Grid • Microgrid Optimization • EV Charging V2G • Multilevel Inverter • Power Quality APF UPQC DVR • Hybrid Renewable MPPT • Grid Integration • PMSM BLDC Motor Drive • Condition Monitoring CNN-LSTM • SCADA Automation • Load Forecasting CNN BiLSTM • MATLAB PSIM PSCAD Python • MTech Thesis • PhD Scopus Journal Publications