LSTM-Based Adaptive MPPT for Grid-Connected Solar PV Systems Using MATLAB Simulink & Simscape

Research objective

Explore an LSTM-informed maximum power point tracking workflow for a grid-connected photovoltaic system where irradiance, temperature and inverter operating conditions vary.

Software and model scope

Primary environment: MATLAB/Simulink & Simscape. Discipline: Electrical Engineering. The video provides a project demonstration; source models, solver settings and plots should be checked against the actual implementation before reuse.

Simulation / modelling methodology

• Represent the PV source with a voltage-current relationship that responds to changing irradiance and cell temperature.
• Build or integrate an LSTM estimator that supplies a reference or adjustment to the MPPT controller; define its input history and sampling rate.
• Use a DC–DC converter to regulate the panel operating point and an inverter stage to exchange power with the grid; separate fast electrical and slower prediction dynamics.
• Compare against conventional perturb-and-observe or incremental conductance control under the same environmental test cases.

Outputs and checks for validation

• PV voltage, current and power alongside available MPP reference
• MPPT tracking efficiency, settling time and transient oscillation
• DC-link voltage, inverter/grid current and active-power exchange
• Prediction error on held-out irradiance or shading profiles

How to interpret results

Tracking improvement should be judged on unseen operating profiles, not on the training traces. Compare harvested energy, oscillation near MPP and DC-link regulation; an accurate predictor does not automatically guarantee better system-level energy yield.

Verification caveat: Avoid training/test leakage in time-series splits; distinguish cell-temperature changes from irradiance transitions; specify converter saturation, switching losses and sampling delays.

Applications for OEM and PhD research

Research on intelligent solar PV control, grid-connected energy conversion, converter-controller co-design and comparative MPPT benchmarking.

Project thumbnail

Preview image is matched to the hosted file after media synchronization.

Technical blogs for this simulation

• Technical simulation guide
• Methods and validation guide

Related project videos

• SEPIC-Derived Semi-Bridgeless PFC Converter for Battery Charging in MATLAB Simulink & Simscape
• DIgSILENT PowerFactory Beginner Tutorial Part 1: Interface, Data Model and 4-Bus Grid
• Five-Phase Induction Motor Speed and Torque Control with Fractional-Order Sliding Mode Control (FOSMC) in MATLAB Simulink

Frequently asked questions

Which software is used for this simulation?

MATLAB/Simulink & Simscape is the primary environment named in this project.

What should be checked before using its results?

Avoid training/test leakage in time-series splits; distinguish cell-temperature changes from irradiance transitions; specify converter saturation, switching losses and sampling delays.

Can this project support a new research comparison?

It can serve as a reference workflow, but any new claim requires a fresh model, documented parameters, independent validation and genuinely measured outputs.

Important notice

contents are for representative purposes, actual content may vary