AI PV THD Simulation -- 2
Budget: ₹600 – ₹5,000 INR
I’m finalising a research-grade, two-stage, single-phase grid-connected PV system and need a complete MATLAB/Simulink model that focuses on lowering total harmonic distortion at the PCC. The simulation has to capture every major block of the plant: the solar array with irradiance/temperature profiles, the DC-link and inverter stage tied to the grid, and, most importantly, a Fuzzy-Logic-based controller that handles both MPPT and inverter current regulation.
Alongside the AI controller I also need a benchmark implementation of conventional PI / PR control so that I can produce a side-by-side THD comparison under identical test conditions. Please keep the two control strategies fully swappable inside the same model so I can toggle between them without rewriting code.
Key points to cover in the build
• PV module and irradiance models representative of a small residential array
• Boost-converter MPPT governed by fuzzy rules (not neural or GA)
• Inverter current loop also driven by fuzzy logic, synchronised to the grid
• Grid interface with LCL or L-filter and standard P – Q measurement blocks
• THD and power-quality metrics logged automatically for both control modes
Deliverables
1. A well-annotated MATLAB/Simulink file (R2021a or later) containing the full system with clearly labelled subsystems.
2. A quick-start script that runs the model, switches between AI and PI/PR control, and exports THD, voltage, and current waveforms.
3. A short read-me or PDF explaining the fuzzy rule base, membership functions, and any custom S-functions used.
4. Result plots demonstrating the THD improvement achieved by the AI controller under at least two irradiance scenarios.
I’m on a tight schedule and would like the first working draft as soon as you can share it; feel free to send interim versions so we can converge quickly. Let me know your preferred MATLAB release and any extra toolboxes you require so I can ensure compatibility before we begin.
It should complete below objective
To model and simulate a two-stage single-phase grid-connected PV system with a
DC–DC converter and voltage source inverter (VSI) interface.
(2) To implement an AI-based MPPT controller for efficient PV power extraction
under standard operating conditions.
(3) To design an AI-based inverter control strategy for minimizing THD in the inverter
(4) output current.
To compare the performance of conventional and AI-based controllers in terms of
THD reduction.
(5) To compare the response time and dynamic stability of conventional and AI-based
controllers.
Alongside the AI controller I also need a benchmark implementation of conventional PI / PR control so that I can produce a side-by-side THD comparison under identical test conditions. Please keep the two control strategies fully swappable inside the same model so I can toggle between them without rewriting code.
Key points to cover in the build
• PV module and irradiance models representative of a small residential array
• Boost-converter MPPT governed by fuzzy rules (not neural or GA)
• Inverter current loop also driven by fuzzy logic, synchronised to the grid
• Grid interface with LCL or L-filter and standard P – Q measurement blocks
• THD and power-quality metrics logged automatically for both control modes
Deliverables
1. A well-annotated MATLAB/Simulink file (R2021a or later) containing the full system with clearly labelled subsystems.
2. A quick-start script that runs the model, switches between AI and PI/PR control, and exports THD, voltage, and current waveforms.
3. A short read-me or PDF explaining the fuzzy rule base, membership functions, and any custom S-functions used.
4. Result plots demonstrating the THD improvement achieved by the AI controller under at least two irradiance scenarios.
I’m on a tight schedule and would like the first working draft as soon as you can share it; feel free to send interim versions so we can converge quickly. Let me know your preferred MATLAB release and any extra toolboxes you require so I can ensure compatibility before we begin.
It should complete below objective
To model and simulate a two-stage single-phase grid-connected PV system with a
DC–DC converter and voltage source inverter (VSI) interface.
(2) To implement an AI-based MPPT controller for efficient PV power extraction
under standard operating conditions.
(3) To design an AI-based inverter control strategy for minimizing THD in the inverter
(4) output current.
To compare the performance of conventional and AI-based controllers in terms of
THD reduction.
(5) To compare the response time and dynamic stability of conventional and AI-based
controllers.