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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
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Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes...
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Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system.

Kamran Ali1, Qudrat Khan2, Shafaat Ullah1

  • 1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, KP, Pakistan.

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A new hybrid nonlinear control strategy using robust integral backstepping (RIB) effectively tracks the maximum power point (MPP) of photovoltaic (PV) systems under varying conditions.

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Control Theory

Background:

  • Photovoltaic (PV) cells exhibit nonlinear current-voltage (I-V) and power-voltage (P-V) characteristics.
  • The maximum power point (MPP) of PV cells is highly sensitive to meteorological conditions like solar irradiance and temperature.
  • Efficiently extracting maximum power requires sophisticated Maximum Power Point Tracking (MPPT) control strategies.

Purpose of the Study:

  • To develop and evaluate a novel, hybrid nonlinear MPPT control strategy for enhanced PV energy extraction.
  • To ensure continuous operation of PV systems at their MPP under dynamic environmental conditions.
  • To improve the efficiency and responsiveness of MPPT controllers.

Main Methods:

  • A hybrid nonlinear MPPT strategy combining robust integral backstepping (RIB) control with an adaptive neuro-fuzzy inference system (ANFIS) was formulated.
  • The control scheme features a two-loop structure: ANFIS for real-time MPP voltage reference generation and RIB for control signal generation.
  • The system was simulated using MATLAB/Simulink, incorporating a non-inverting buck-boost (NIBB) DC-DC converter, PV array, and dynamic load.

Main Results:

  • The proposed RIB-based MPPT strategy demonstrated no overshoot, fast convergence, and excellent transient response.
  • The controller achieved fast rising and settling times with minimal output tracking error.
  • Performance was validated against varying meteorological conditions, faults, and parametric uncertainties.

Conclusions:

  • The hybrid nonlinear RIB control strategy offers a highly efficient and robust solution for MPPT in PV systems.
  • The ANFIS integration provides accurate real-time MPP voltage tracking.
  • Comparative analysis confirmed the superiority of the proposed strategy over conventional PID and P&O methods.