Power Quality Issues in Microgrids: Harmonics, Flicker & Mitigation Strategies Simulated in MATLAB
Power Quality Issues in Microgrids: Harmonics, Flicker & Mitigation Strategies Simulated in MATLAB is most useful as a research topic when the simulation is treated as an experiment rather than a demonstration. The central objective is microgrid power-quality analysis covering harmonics, flicker and mitigation. A strong study fixes the plant and test conditions, defines a baseline, changes one research factor at a time and reports numerical evidence alongside plots.
For doctoral and postgraduate work, the model should make every assumption visible: rated values, data sources, solver settings, controller sampling, initial conditions, boundary conditions and disturbance definitions. This makes the results easier to defend in a thesis, reproduce later and convert into a publication-oriented comparison.
A reproducible modelling and validation plan
- Create grid/DER/load models including nonlinear and variable loads.
- Establish a clean baseline and then introduce defined disturbance sources.
- Use FFT/THD and RMS/flicker measurement blocks consistently.
- Add passive, active or hybrid mitigation.
- Test grid-connected and islanded operating cases.
- Compare before/after waveforms and numerical power-quality indices.
What the thesis or paper should measure
Use numerical metrics that map directly to the research objective. Recommended outputs for this topic include:
- voltage THD
- current THD
- flicker index
- voltage sag/swell depth
- power factor
- filter rating
Move beyond a basic implementation
To turn this topic into a stronger research contribution, start with one baseline and one proposed method, then extend the validation using adaptive active filtering, converter virtual impedance, EV-charger harmonic aggregation. The final results section should explain why the proposed method changes the engineering behaviour, not only whether the output curve looks smoother. Include failure cases or operating limits when they reveal the boundary of the method.
- adaptive active filtering
- converter virtual impedance
- EV-charger harmonic aggregation
- standards-based event classification
Need the model adapted to your research objective?
We can help with model architecture, parameterisation, controller/algorithm implementation, scenario design, plots and research-oriented result interpretation.
