Department of Electrical Engineering · NIT Arunachal Pradesh

Engineering the
next generation
of clean power.

ReX Lab is a research and experimental platform for renewable energy conversion, grid integration, advanced control, power electronics, and intelligent energy systems.

01Renewable
Energy
02Power
Electronics
03Smart
Grid
ReX Lab laboratory
REX LAB

Research. Experiment. Innovate.

Experimental research for a sustainable energy future.

ReX Lab OPAL-RT setup
REAL-TIME SIMULATION

Advanced Control & HIL Testing

Real-time platforms for renewable energy and power-system research.

Students in ReX Lab
RESEARCH & LEARNING

Training the Next Generation

Hands-on experimentation, student projects and collaborative research.

Electrical machines in ReX Lab
EXPERIMENTAL FACILITIES

Machines, Drives & Measurement

Laboratory platforms for machines, converters and power measurements.

Research demonstration in ReX Lab
COLLABORATION

From Concept to Experiment

Connecting modelling and simulation with practical laboratory validation.

ReX Lab laboratory interior
REX LAB · NIT ARUNACHAL PRADESH

A Space for Energy Innovation

Renewable energy, power electronics, control and smart-grid experimentation.

RENEWABLE ENERGY · POWER ELECTRONICS
EXPERIMENTAL RESEARCH
01 — ABOUT THE LAB

From research
to real-world energy.

The Renewable Energy Experimental Lab (ReX Lab) is a research laboratory under the Department of Electrical Engineering at NIT Arunachal Pradesh.

Our work connects analytical modelling, simulation, laboratory experimentation and hardware validation to address practical challenges in renewable-energy-based power systems.

ModellingSimulationExperimental ValidationHIL Testing
02 — RESEARCH THRUSTS

Where we focus.

Interdisciplinary research across renewable generation, converters, control, grid stability and intelligent energy management.

02
ϟ

Power Electronics & Converters

Advanced converter topologies, LCL filters, active damping, modulation and power-quality enhancement.

03
⌁

Advanced Control

Model predictive control, virtual synchronous generator control, robust control and grid-forming strategies.

04
◎

AI & Optimization

Metaheuristic optimization, reinforcement learning and intelligent energy-management methods for complex power systems.

05
↯

Micro Hydro & Induction Generators

Experimental investigation of asynchronous generators, hybrid excitation, load sharing and rural electrification.

06
▦

Smart & Resilient Grids

Weak-grid operation, synchronization, transient stability, grid codes and coordinated renewable energy control.

03 — EXPERIMENTAL CAPABILITIES

A lab built for validation.

01

Real-Time & HIL Simulation

dSPACE MicroLabBox · OPAL-RT · Real-time control validation

↗
02

Power Quality Measurement

Power analyzers · Oscilloscopes · Voltage/current characterization

↗
03

Renewable Energy Test Systems

PV · Wind · Micro-hydro · Induction generator experimental platforms

↗
04

Power Electronics & Control

Grid-connected converters · LCL filters · PLL · Grid-forming control

↗
04 — SELECTED RESEARCH

Projects & directions.

Selected themes that represent the laboratory's experimental and computational research programme.

MICRO HYDRO
01 · GENERATION

Grid Integration of Asynchronous Generator Based Micro Hydro Power Plant

Parallel-connected SEIGs, hybrid excitation, voltage regulation, load sharing and rural electrification.

GRID-FORMING
02 · CONTROL

Adaptive Predictive Virtual Synchronous Generator Control

Advanced control architectures for stable renewable-energy integration under weak-grid conditions.

AI + POWER
03 · INTELLIGENCE

Intelligent Synchronization & Optimization

Hybrid optimization and learning-based approaches for robust PLL and converter control.

05 — RESEARCH IMPACT

Research that
moves the field.

Peer-reviewed work spanning micro-hydro power, self-excited induction generators, grid-forming inverters and AI-driven control — translating laboratory experiments into deployable renewable-energy systems.

73+PublicationsJournals · Conferences · Chapters
386CitationsAcross the research programme
11h-indexi10-index 14
2011–26Active yearsSustained output
⚡

AI-Driven Grid Control

Deep reinforcement learning and adaptive predictive control for grid-forming inverters and virtual synchronous generators under weak-grid conditions.

💧

Micro-Hydro & SEIG

Edge-of-grid micro-hydro schemes and parallel self-excited induction generators with experimental hardware validation for rural electrification.

🔬

Hybrid Optimization

Metaheuristic and gradient-hybrid methods (PSO-GWO, GWO-DE) for optimal design of filters, converters and renewable-integration controllers.

FULL PUBLICATION RECORD

Explore the complete, year-by-year list of journal articles, conference papers and book chapters.

06 — PEOPLE

People behind
the experiments.

Faculty, researchers and students working across modelling, control, power electronics and renewable energy systems.

RP
LAB IN-CHARGE

Dr. Rajen Pudur

Associate Professor
Department of Electrical Engineering
NIT Arunachal Pradesh

Faculty Lead · ReX Lab View Faculty Profile ↗
08 — CONTACT

Let’s build the
energy future.

Interested in research collaboration, student projects, experimental work or academic exchange?

LABORATORYRenewable Energy Experimental Lab (ReX Lab)
DEPARTMENTDepartment of Electrical Engineering
INSTITUTENIT Arunachal Pradesh, Jote
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