article · Results in Engineering
This research presents a control strategy for multifunctional grid-connected photovoltaic systems designed to improve power quality while protecting inverters from operating beyond their rated capacity. The method manages three tasks by hierarchy: injecting active power into the electricity grid receives the highest priority, followed by compensating for reactive power, and finally filtering current harmonics caused by non-linear loads. Inverter current is constrained to prevent overrating. Alongside this, an adaptive neuro-fuzzy inference system controls maximum power point tracking within a two-phase interleaved boost converter, dampening direct-current link voltage oscillations. The combined system connects via a three-level neutral point clamped inverter. Evaluated through computer simulations across various solar irradiation levels, the strategy allows the system to perform all functions simultaneously. Compared to an existing method, it improves grid current total harmonic distortion by up to 16.95 percent.
Integrating solar energy into electricity grids often creates power quality issues and strains equipment. By coordinating active power feed-in, reactive power support, and harmonic filtering within safe operating boundaries, this approach helps maintain grid stability and clean power flow. It ensures solar installations can contribute to power quality management without risking hardware damage from overload conditions during fluctuating solar irradiation.
The control strategy could be incorporated into solar inverter firmware and grid-tied converter products by power electronics manufacturers and microgrid operators. It targets commercial and utility-scale photovoltaic installations requiring active power management and harmonic mitigation. Because the validation was conducted entirely using computer simulation models in MATLAB and Simulink, the technology represents early-stage research that requires experimental and physical hardware testing before entering practical use.
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The main aim of this work consists of proposing a new control strategy for multifunctional grid-connected photovoltaic systems (GCPVSs) to enhance the power quality at the point of common coupling (PCC) while considering the inverter-rated capacity. In addition, an Adaptive neuro-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) controller for a two-phase interleaved boost converter is proposed to improve the dc-link voltage oscillation of the GCPVS. The control strategy takes into account the inverter's rated capacity in terms of power, which is defined by its maximal current modulus. It limits the inverter current to prevent overrating operations, and it also manages the GCPVS's functions: active power injection, reactive power compensation, and current harmonic filtering. The Active power injection into the grid takes precedence over power quality enhancement. Then, The reactive power compensation takes priority over the filtering of nonlinear load current harmonics. The proposed strategy is applied to a grid-connected PV system through an interleaved boost converter and a three-level neutral point clamped (NPC) inverter. Various scenarios with different solar irradiation levels are investigated using MATLAB/Simulink environment. Compared with another existing control strategy in terms of grid current total harmonic distortion (THD) enhancement, the simulations results indicate the superiority of the proposed method. Furthermore, the simulation results also show that the multifunctional GCPVS can perfectly perform all its functions simultaneously with up to 16.95% reduction in grid current THD.
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DOI: 10.1016/j.rineng.2022.100422
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