Genetic Algorithm-Based PV Array Optimization and Dynamic Reconfiguration Under Partial Shading Using MATLAB Simscape

Research objective

Study dynamic solar PV array reconfiguration guided by a genetic algorithm to reduce mismatch loss when modules receive nonuniform irradiance.

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

• Create a module-level PV array model with reproducible shading matrices and bypass-diode behavior.
• Encode permitted electrical connections as candidate configurations while enforcing switch and wiring constraints.
• Use a fitness function based on array power, mismatch reduction and optionally switching cost; specify GA population, mutation and termination.
• Apply the selected feasible configuration to a switch-level model and re-evaluate the electrical operating point.

Outputs and checks for validation

• Original and reconfigured PV P–V and I–V curves
• Global peak power, energy yield and mismatch loss across shading scenarios
• GA fitness convergence, best-configuration sequence and iteration cost
• Switch-state transitions, constraint violations and reconfiguration delay

How to interpret results

An optimizer recommendation is not evidence of physical reconfiguration unless switch states in the electrical model actually change. Compare the same shading pattern before and after feasible switching and include conversion/switching losses.

Verification caveat: Prevent impossible connections and simultaneous switch states; distinguish peak-power gain from net energy gain; do not report GA improvements without a fixed baseline and repeat seeds.

Applications for OEM and PhD research

PV array fault tolerance, mismatch mitigation, smart solar farms, shade-aware configuration control and energy-harvesting optimization.

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

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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?

Prevent impossible connections and simultaneous switch states; distinguish peak-power gain from net energy gain; do not report GA improvements without a fixed baseline and repeat seeds.

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